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Online dating
Online dating
from Wikipedia

Since the 2010s, Internet dating has become more popular with smartphones.

Online dating, also known as internet dating, virtual dating, or mobile app dating,[1] is a method used by people with a goal of searching for and interacting with potential romantic or sexual partners, via the internet. An online dating service is a company that promotes and provides specific mechanisms for the practice of online dating, generally in the form of dedicated websites or software applications accessible on personal computers or mobile devices connected to the internet. A wide variety of unmoderated matchmaking services, most of which are profile-based with various communication functionalities, is offered by such companies.[2][3][4]

Online dating services allow users to become "members" by creating a profile and uploading personal information including (but not limited to) age, gender, sexual orientation, location, and appearance. Most services also encourage members to add photos or videos to their profile. Once a profile has been created, members can view the profiles of other members of the service, using the visible profile information to decide whether or not to initiate contact. Most services offer digital messaging, while others provide additional services such as webcasts, online chat, telephone chat (VoIP), and message boards. Members can constrain their interactions to the online space, or they can arrange a date to meet in person.

A great diversity of online dating services currently exist. Some have a broad membership base of diverse users looking for many different types of relationships. Other sites target highly specific demographics based on features like shared interests, location, religion, sexual orientation or relationship type. Online dating services also differ widely in their revenue streams. Some sites are completely free and depend on advertising for revenue. Others utilize the freemium revenue model, offering free registration and use, with optional, paid, premium services.[5] Still others rely solely on paid membership subscriptions.

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A 2005 study found that online daters may have more liberal social attitudes compared to the general population in the United States.[6]

Race and online dating

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A 2009 study found that African Americans were the least desired demographic in online dating; and were the least interested in forming interracial relationships with non-Black Americans.[7]

In 2008, a study investigated racial preferences using a sample of 6,070 profiles on Yahoo! Personals. Just 29% of white men excluded women of color, compared to the 64% of white women who excluded men of color.[8] Follow-up studies conducted by these authors in 2009 and 2011 found similar patterns: white women were less open to interracial relationships than white men.[9]

In 2018, a study analyzed the activity of approximately 200,000 users of an online dating app in the United States. The authors found that White men and Asian women were the most desired.[10]

In 2021, a comprehensive analysis of online dating trends in the United States suggested that the rise of online dating has exacerbated underlying racial biases in dating.[11] The authors found that White men were preferred by women of color, while men of color generally preferred women of color. White men were accepting of Asian and Hispanic women, yet White women tended to exclude non-White men.[12]

These authors also disputed some common notions about racial bias in online dating.[12] For example, White women did not reject Asian men more so than Black or Hispanic men.[12] Black and Hispanic women were just as accepting of Asian men as they were of men of the same race. This is inconsistent with the idea that Asian men are particularly disadvantaged in online dating, relative to other men of color.[12] The authors also dispute the notion that Asian women's high outmarriage rate is due to "self hatred", as their interviews found that these marriages form out of perceived compatibility, rather than self hatred.[12] Gay Hispanic men did not have a preference for white partners.[12]

Gender

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According to a 2018 study, among American daters, male desirability increased until the age of 50; while women's desirability declined steeply after the age of 20.[13]

In terms of educational attainment, men's desirability only increased the more educated they were. For women, however, educational attainment beyond the level of a bachelor's degree actually decreased their desirability. The authors suggested that besides individual preferences and partner availability, this pattern may be due to the fact that by the late 2010s, women were more likely to attend and graduate from university.[13] In order to estimate the desirability of a given individual, the researchers looked at the number of messages they received and the desirability of the senders.[14]

Developmental psychologist Michelle Drouin, who was not involved in the study, told The New York Times this finding is in accordance with theories in psychology and sociology based on biological evolution in that youth is a sign of fertility. She added that women with advanced degrees are often viewed as more focused on their careers than family.[13] Licensed psychotherapist Stacy Kaiser told MarketWatch men typically prefer younger women because "they are more easy to impress; they are more (moldable) in terms of everything from emotional behavior to what type of restaurant to eat at," and because they tend to be "more fit, have less expectations and less baggage." On the other hand, women look for (financial) stability and education, attributes that come with age, said Kaiser.[10] These findings regarding age and attractiveness are consistent with earlier research by the online dating services OKCupid and Zoosk.[13][10]

In 2016, Gareth Tyson of the Queen Mary University of London and his colleagues published a paper analyzing the behavior of Tinder users in New York City and London. In order to minimize the number of variables, they created profiles of white heterosexual people only. For each sex, there were three accounts using stock photographs, two with actual photographs of volunteers, one with no photos whatsoever, and one that was apparently deactivated. The researchers pointedly only used pictures of people of average physical attractiveness. Tyson and his team wrote an algorithm that collected the biographical information of all the matches, liked them all, then counted the number of returning likes.[15]

They found that men and women employed drastically different mating strategies. Men liked a large proportion of the profiles they viewed, but received returning likes only 0.6% of the time; women were much more selective but received matches 10% of the time. Men received matches at a much slower rate than women. Once they received a match, women were far more likely than men to send a message, 21% compared to 7%, but they took more time before doing so. Tyson and his team found that for the first two-thirds of messages from each sex, women sent them within 18 minutes of receiving a match compared to five minutes for men. Men's first messages had an average of a dozen characters, and were typical simple greetings; by contrast, initial messages by women averaged 122 characters.[15]

Tyson and his collaborators found that the male profiles that had three profile pictures received far more matches than those without one. By sending out questionnaires to frequent Tinder users, the researchers discovered that the reason why men tended to like a large proportion of the women they saw was to increase their chances of getting a match. This led to a feedback loop in which men liked more and more of the profiles they saw while women could afford to be even more selective in liking profiles because of a greater probability of a match.[15]

Aided by the text-analysis program Linguistic Inquiry and Word Count, Bruch and Newman discovered that men generally had lower chances of receiving a response after sending more "positively worded" messages.[10] When a man tried to woo a woman more desirable than he was, he received a response 21% of the time; by contrast, when a woman attempted to court a man, she received a reply about half the time.[14] In fact, over 80% of the first messages in the data set obtained for the purposes of the study were from men, and women were highly selective in choosing whom to respond to, a rate of less than 20%. Therefore, studying women's replies yielded much insight into their preferences.[16] Bruch and Newman were also able to establish the existence of dating 'leagues'.[10] Generally speaking, people were able to accurately estimate where they ranked on the dating hierarchy. Very few responded to the messages of people less desirable than they were.[16] Nevertheless, although the probability of a response is low, it is well above zero, and if the other person does respond, it can a self-esteem booster, said Kaiser.[10] Co-author of the study Mark Newman told BBC News, "There is a trade-off between how far up the ladder you want to reach and how low a reply rate you are willing to put up with."[14] Bruch and Newman found that while people spent a lot of time crafting lengthy messages to those they considered to be a highly desirable partner, this hardly made a difference, judging by the response rate. Keeping messages concise is well-advised. Previous studies also suggest that about 70% of the dating profile should be about oneself and the rest about the desired partner.[14]

Data from the Chinese online dating giant Zhenai.com reveals that while men are most interested in how a woman looks, women care more about a man's income. Profession is also quite important. Chinese men favor women working as primary school teachers and nurses while Chinese women prefer men in the IT or finance industry. Women in IT or finance are the least desired. Zhenai enables users to send each other digital "winks". For a man, the more money he earns the more "winks" he receives. For a woman, her income does not matter until the 50,000-yuan mark (US$7,135), after which the number of "winks" falls slightly. Men typically prefer women three years younger than they are whereas women look for men who are three years older on average. However, this changes if the man becomes exceptionally wealthy; the more money he makes the more likely he is to look for younger women.[17]

In general, people in their 20s employ the "self-service dating service" while women in their late 20s and up tend to use the matchmaking service. This is because of the social pressure in China on "leftover women" (Sheng nu), meaning those in their late 20s but still not married. Women who prefer not to ask potentially embarrassing questions – such as whether both spouses will handle household finances, whether or not they will live with his parents, or how many children he wants to have, if any – will get a matchmaker to do it for them. Both sexes prefer matchmakers who are women.[17]

Desirability and physical appearance

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At least three quarters of the sample surveyed attempted to date aspirationally, meaning they tried to initiate a relationship with someone who was more desirable, 25% more desirable, to be exact. Bruch recommended sending out more greeting messages, noting that people sometimes managed to upgrade their 'league'. Michael Rosenfeld, a sociologist not involved with the study, told The Atlantic, "The idea that persistence pays off makes sense to me, as the online-dating world has a wider choice set of potential mates to choose from. The greater choice set pays dividends to people who are willing to be persistent in trying to find a mate."[16] Using optimal stopping theory, one can show that the best way to select the best potential partner is to reject the first 37%, then pick the one who is better than the previous set. The probability of picking the best potential mate this way is 37%.[18] (This is approximately the reciprocal of Euler's number, . See derivation of the optimal policy.) However, making online contact is only the first step, and indeed, most conversations failed to birth a relationship. As two potential partners interact more and more, the superficial information available from a dating website or smartphone application becomes less important than their characters.[14]

Despite being a platform designed to be less centered on physical appearance,[19] OkCupid co-founder Christian Rudder stated in 2009 that the male OkCupid users who were rated most physically attractive by female OkCupid users received 11 times as many messages as the lowest-rated male users did, the medium-rated male users received about four times as many messages, and the one-third of female users who were rated most physically attractive by the male users received about two-thirds of all messages sent by male users.[20] According to a former company product manager, the majority of female Bumble users typically set a floor height of six feet for male users which limits their matching opportunities to only 15% of the male population.[21]

Niche dating sites

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Sites with specific demographics have become popular as a way to narrow the pool of potential matches.[22] Successful niche sites pair people by race, sexual orientation or religion.[23] In March 2008, the top 5 overall sites held 7% less market share than they did one year ago while the top sites from the top five major niche dating categories made considerable gains.[24] Niche sites cater to people with special interests, such as sports fans, racing and automotive fans, medical or other professionals, people with political or religious preferences, people with medical conditions, or those living in rural farm communities.

Some dating services have been created specifically for those living with HIV and other venereal diseases in an effort to eliminate the need to lie about one's health in order to find a partner.[25] Public health officials in Rhode Island and Utah claimed in 2015 that Tinder and similar apps were responsible for uptick of such conditions.[26]

Some sites, referred to as adult dating sites, match individuals seeking short-term sexual encounters.[27]

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Although some sites offer free trials and/or profiles, most memberships can cost upwards of $60 per month.[28] In 2008, online dating services in the United States generated $957 million in revenue.[29]

Most free dating websites depend on advertising revenue, using tools such as Google AdSense and affiliate marketing. Since advertising revenues are modest compared to membership fees, this model requires numerous page views to achieve profitability. However, Sam Yagan describes dating sites as ideal advertising platforms because of the wealth of demographic data made available by users.[30]

In November 2023, the stock prices of Match Group and Bumble were down 31% and 35% on the year respectively, continuing a more than two-year decline since the latter's initial public offering in February 2021 and after posting declines more than double that of the S&P 500 during the 2022 stock market decline.[31][32][33] In addition to price increases, slowing paid user growth, and flattening app download rates following the end of the COVID-19 lockdowns,[34][33][35] assessments among financial analysts of an oversaturated market, concerns about low consumer satisfaction with the services, and growing skepticism about dating app features and algorithms contributed to the declines.[31][21] Match Group and Bumble account for nearly the entire market share of the online dating industry, and the companies lost a combined $40 billion in market value from 2021 through 2024.[36] Match Group and Bumble shares continued to fall during the first quarter of 2024 while the S&P 500 rose, and the number of paid users for Match Group fell by 6% during the first quarter of 2024 while Bumble's paid users grew by 18% in comparison to a 3% decline and a 31% increase for each company respectively during the first quarter of 2023.[37]

Matching and divorce rates

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In 2012, social psychologists Benjamin Karney, Harry Reis, and others published an analysis of online dating in Psychological Science in the Public Interest that concluded that the matching algorithms of online dating services are only negligibly better at matching people than if they were matched at random.[38][39] In 2014, Kang Zhao at the University of Iowa constructed a new approach based on the algorithms used by Amazon and Netflix, based on recommendations rather than the autobiographical notes of match seekers. Users' activities reflect their tastes and attractiveness, or the lack thereof, they reasoned. This algorithm increases the chances of a response by 40%, the researchers found. E-commerce firms also employ this "collaborative filtering" technique. Nevertheless, it is still not known what the algorithm for finding the perfect match would be.[40]

However, while collaborative filtering and recommender systems have been demonstrated to be more effective than matching systems based on similarity and complementarity,[41][42][43] they have also been demonstrated to be highly skewed to the preferences of early users and against racial minorities such as African Americans and Hispanic Americans which led to the rise of niche dating sites for those groups.[44][45][46] In 2014, the Better Business Bureau's National Advertising Division criticized eHarmony's claims of creating a greater number of marriages and more durable and satisfying marriages than alternative dating websites,[47] and in 2018, the Advertising Standards Authority banned eHarmony advertisements in the United Kingdom after the company was unable to provide any evidence to verify its marketing claims that its website's matching algorithm was scientifically proven to give its users a greater chance of finding long-term intimate relationships.[48][49]

Data released by Tinder in 2018 showed that of the 1.6 billion swipes it recorded per day, only 26 million result in matches (a match rate of approximately only 1.63%), despite users logging into the app on average 11 times per day, with male user sessions averaging 7.2 minutes and female user sessions averaging 8.5 minutes (or 79.2 minutes and 93.5 minutes per day respectively).[20] Also, a Tinder user interviewed anonymously in an article published in the December 2018 issue of The Atlantic estimated that only one in 10 of their matches actually resulted in an exchange of messages with the other user they were matched with, with another anonymous Tinder user saying, "Getting right-swiped is a good ego boost even if I have no intention of meeting someone."[20]

In 2012, Karney, Reis, and their co-authors suggested that the availability of a large pool of potential partners "may lead online daters to objectify potential partners and might even undermine their willingness to commit to one of them."[38] In October 2019, a Pew Research Center survey of 4,860 U.S. adults showed that 54 percent of U.S. adults believed that relationships formed through dating sites or apps were just as successful as those that began in person, 38 percent believed these relationships were less successful, while only 5 percent believed them to be more successful.[50]

Noting the research of Karney, Reis, and their co-authors comparing online to offline dating and the research of communications studies scholar Nicole Ellison and her co-authors comparing online dating to comparative shopping,[51][38] political scientist Robert D. Putnam cited the October 2019 Pew Research Center survey in the afterword to the second edition of Bowling Alone (2020) in expressing skepticism about whether online dating was leading to a greater number of long-term intimate relationships.[52] The December 2018 Atlantic article noted that the percentage of U.S. adults living without spouses or partners rose to 42 percent by 2017 and to 61 percent among adults under the age of 35.[20][53] Social psychologist David Buss has estimated that approximately 30 percent of the men on Tinder are married.[54]

Buss has argued further "Apps like Tinder and OkCupid give people the impression that there are thousands or millions of potential mates out there. One dimension of this is the impact it has on men's psychology. When there is ... a perceived surplus of women, the whole mating system tends to shift towards short-term dating,"[55] and there is a feeling of disconnect when choosing future partners.[56] In addition, the cognitive process identified by psychologist Barry Schwartz as the "paradox of choice" (also referred to as "choice overload" or "fear of a better option") was cited in an article published in The Atlantic that suggested that the appearance of an abundance of potential partners causes online daters to be less likely to choose a partner and be less satisfied with their choices of partners.[57][20]

In March 2024, Marketing Science published the results of a field experiment using matching theory to study cross-side and same-side network effects on search and match behavior by 225,680 adult users of a global online dating platform who lived outside of major cities and were seeking an opposite-sex match.[58] The study found that increases in "market size" (the number of platform users of the opposite sex) deterred participation and caused users of the opposite sex to become more selective, while increases in "competition size" (the number of platform users of the same sex) caused users to become less selective.[58] However, the study did not conclude that increased market size deterred participation due to choice overload because only users with online dating experience before the experiment were deterred by larger market size while users without pre-experiment experience were encouraged by larger market size, and instead increased market size more likely deterred participation due to users anticipating higher search costs and their expectations about other users they anticipated finding on the platform.[58]

In December 2024, Information Systems Research published a study of the search and matching history from 2011 to 2012 of 33,504 users of an online dating service in China without a recommender system but a feature that showed a short profile (a partial list of the attributes required by the service's user profiles) by default when the users that were studied (focal users) wished to send a message to another user to create a potential match (a candidate user).[59] The study noted that while focal users could send a message after reading the long profiles of candidate users (with the complete list of attributes), the study found that focal users were more likely to receive a match after reading short profiles because the long profiles presented greater preference mismatches to the focal users that led them to send messages to candidate users with fewer mismatches but who were less likely to accept their proposed match.[59]

Research on associations between online dating and divorce rates have found conflicting results. While research published in the Journal of Family and Economic Issues in September 2011 found no relationship between increased internet access and higher divorce rates in the United States,[60] subsequent research published in the Review of Economics of the Household in June 2020 did find a correlation between increased access to broadband internet or mobile phones and higher divorce rates in rural counties and lower divorces rates in metropolitan areas in the United States.[61] In June 2013, PNAS USA published a representative survey of 19,131 U.S. adults married between 2005 and 2012 that found that marriages that began online were slightly less likely to result in separation or divorce in comparison to marriages formed offline and were associated with slightly higher marital satisfaction.[62]

In July 2014, Computers in Human Behavior published a study that found that after controlling for various economic, demographic, and psychological variables that state-by-state differences in the United States in Facebook and other social networking service (SNS) user account rates was correlated with higher divorce rates and diminished marriage quality.[63] In October 2015, Cyberpsychology, Behavior, and Social Networking published a study of 371 undergraduate students at a university in the Midwestern United States that found that Facebook friend lists increased physical and emotional infidelities among couples, lowered relationship commitment, and diminished relationship quality due to psychological priming effects.[64] In November 2016, the Journal of International Social Issues published a study that found that U.S. states with a higher Google Trends search volume index for Match.com in 2013 had fewer marriages in 2014, while U.S. states with higher search volume indices for Hinge, Bumble, Plenty of Fish, and Facebook in 2013 had a greater number of divorces in 2014.[65]

In February 2019, Technological Forecasting and Social Change published a study examining associations between broadband internet access and divorce in China using provincial data from 2002 to 2014 that found that for every 1% increase in the number of broadband subscribers the number of divorces grew by 0.008%.[66] In December 2020, PLOS One published a study on online dating in Switzerland that found that couples formed through online dating had stronger cohabiting intentions than those formed offline and no differences in relationship satisfaction.[67] In January 2024, Computers in Human Behavior published a survey of 923 married U.S. adults where roughly half of the subjects met their spouses online that found evidence for an "online dating effect" where online daters reported less satisfying and durable marriages, but the researchers suggested that the differences could be explained by societal marginalization and geographic distance.[68]

Online matchmaking services

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In 2008, a variation of the online dating model emerged in the form of introduction sites, where members have to search and contact other members, who introduce them to other members whom they deem compatible. Introduction sites differ from the traditional online dating model, and attracted many users and significant investor interest.[69]

In China, the number of separations per a thousand couples doubled, from 1.46 in 2006 to about three in 2016, while the number of actual divorces continues to rise, according to the Ministry of Civil Affairs. Demand for online dating services among divorcees keeps growing, especially in the large cities such as Beijing, Shanghai, Shenzhen and Guangzhou. In addition, more and more people are expected to use online dating and matchmaking services as China continues to urbanize in the late 2010s and 2020s.[17]

Reception

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Opinions and usage of online dating services also differ widely. A 2005 study of data collected by the Pew Internet & American Life Project found that individuals are more likely to use an online dating service if they use the Internet for a greater number of tasks, and less likely to use such a service if they are trusting of others.[70]

Attitudes towards online dating improved visibly between 2005 and 2015, the Pew Research Center found. In particular, the number of people who thought that online dating was a good way to meet people rose from 44% in 2005 to 59%. Although only a negligible number of people dated online in 2005, that rose to 11% in 2013 and then 15% in 2015.[71] In particular, the number of American adults who had used an online dating site went from 9% in 2013 to 12% in 2015 while those who used an online dating software application on their mobile phones jumped from 3% to 9% during the same period.[72] This increase was driven mainly by people aged 18 to 24, for whom usage almost tripled. At the same time, usage among those between the ages of 55 and 64 doubled.[71]

According to a 2015 study by the Pew Research Center, people who had used online dating services had a higher opinion of such services than those who had not. 80% of the users said that online dating sites are a good way to meet potential partners.[72]

In 2016, Consumer Reports surveyed approximately 115,000 online dating service subscribers across multiple platforms and found that while 44 percent of survey respondents stated that usage of online dating services led to a serious long-term intimate relationship or marriage,[73] a subset of approximately 9,600 subscribers that had used at least one online dating service within the previous two years rated satisfaction with the services they used lower than Consumer Reports surveys of consumer satisfaction with technical support services and rated satisfaction with free online dating services as slightly more satisfactory than services with paid subscriptions.[74][75]

In the October 2019 Pew Research Center survey, 57% of survey respondents who had used online dating said their experiences on the platforms was very or somewhat positive while 42% said their experiences were very or somewhat negative, and 76% of survey respondents felt that online dating has had neither a positive or negative effect on dating and relationships or a mostly negative effect while 22% felt that online dating has had a mostly positive effect.[50]

In a July 2022 survey of 6,034 U.S. adults conducted by the Pew Research Center, 53% of survey respondents who had used online dating said their experiences on the platforms were either very or somewhat positive while 46% said their experiences were either very or somewhat negative, 54% of all survey respondents said they believed that dating apps either made no difference in finding a partner or spouse or made doing so harder while 42% said they believed that dating apps made finding a partner or spouse easier, and 80% of survey respondents felt that online dating has had neither a positive or negative effect on dating and relationships or a mostly negative effect while 18% felt that online dating has had a mostly positive effect.[76][77]

Trust and safety issues

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As online dating services are not required to routinely conduct background checks on members, it is possible for profile information to be misrepresented or falsified.[78][79][80] Also, there may be users on dating services that have illicit intentions (i.e. date rape, procurement, etc.).[81][82][83][84]

OKCupid once introduced a real name policy, but that was later taken removed due to unpopularity with its users.[85]

Only some online dating services are providing important safety information such as STD status of its users[86][87][88][89] or other infectious diseases, but many do not.

Some online dating services which are popular amongst members of queer communities are sometimes used by people as a means of meeting these audiences for the purpose of gaybashing or trans bashing.[90][91][92]

A form of misrepresentation is that members may lie about their height, weight, age, or marital status in an attempt to market or brand themselves in a particular way.[93] Users may also carefully manipulate profiles as a form of impression management.[94] Online daters have raised concerns about ghosting, the practice of ceasing all communication with a person without explaining why. Ghosting appears to be becoming more common.[95] Various explanations have been suggested, but social media is often blamed,[96] as are dating apps and the relative anonymity and isolation in modern-day dating and hookup culture, which make it easier to behave poorly with few social repercussions.[97]

Online dating site members may try to balance an accurate representation with maintaining their image in a desirable way.[98] One study found that nine out of ten participants had lied on at least one attribute, though lies were often slight; weight was the most lied about attribute, and age was the least lied about.[99] Furthermore, knowing a large amount of superficial information about a potential partner's interests may lead to a false sense of security when meeting up with a new person.[100] Gross misrepresentation may be less likely on matrimonials sites than on casual dating sites.[101]

Some profiles may not even represent real humans but rather they may be fake "bait profiles" placed online by site owners to attract new paying members, or "spam profiles" created by advertisers to market services and products.[102]

Opinions on regarding the safety of online dating are mixed. Over 50% of research participants in a 2011 study did not view online dating as a dangerous activity, whereas 43% thought that online dating involved risk.[103] Date rape is a form of acquaintance rape and dating violence. The two phrases are often used interchangeably, but date rape specifically refers to a rape in which there has been some sort of romantic or potentially sexual relationship between the two parties.[104][105] Acquaintance rape also includes rapes in which the victim and perpetrator have been in a non-romantic, non-sexual relationship, for example as co-workers or neighbors.[106][107][108][109][110][111] According to the United States Bureau of Justice Statistics (BJS), date rapes are among the most common forms of rape cases.[112] Date rape most commonly takes place among college students when alcohol is involved or date rape drugs are taken. One of the most targeted groups are women between the ages of 16 and 24.[113][114]

In the October 2019 Pew Research Center survey, 53% of survey respondents said believed that dating apps were a very or somewhat safe way to meet potential partners while 46% believed they were a not too safe or not at all safe way to do so, and 50% online dating respondents said that they believed that scam accounts were common.[50] In the July 2022 Pew Research Center survey, 49% of survey respondents said believed that dating apps were a not too safe or not at all safe way to meet potential partners while 48% believed they were a very or somewhat safe way to do so, and 52% online dating respondents said that they believed that scam accounts were common.[76][77]

In response to these issues, over 120 Facebook groups named Are We Dating The Same Guy? were created where women share red flags about men[115] and check that he is not dating another person.[116] It is done by taking screenshots of a man's dating profile and posting it onto her city's designated Facebook group, asking "any tea?". Other users in the group will then share information about the man and share warnings.[117][118][119] The groups are moderated by volunteers,[118] and have been described as a feminist group.[120]

Billing complaints

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Online subscription-based services can suffer from complaints about billing practices. Some online dating service providers may have fraudulent membership fees or credit card charges.[121] Some sites do not allow members to preview available profiles before paying a subscription fee. Furthermore, different functionalities may be offered to members who have paid or not paid for subscriptions, resulting in some confusion around who can view or contact whom.

Consolidation within the online dating industry has led to different newspapers and magazines now advertising the same website database under different names. In the UK, for example, Time Out ("London Dating"), The Times ("Encounters"), and The Daily Telegraph ("Kindred Spirits"), all offer differently named portals to the same service—meaning that a person who subscribes through more than one publication has unwittingly paid more than once for access to the same service.

Imbalanced gender ratios

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Little is known about the sex ratio controlled for age. eHarmony's membership is about 57% female and 43% male,[122] whereas the ratio at Match.com is about the reverse of that.[needs update] On specialty niche websites[which?] where the primary demographic is male, there is typically a very unbalanced ratio of male to female or female to male.[123] As of June 2015, 62% of Tinder users were male and 38% were female.[124]

Studies have suggested that men are far more likely to send messages on dating sites than women.[125] In addition, men tend to message the most attractive women regardless of their own attractiveness.[126] This leads to the most attractive women on these sites receiving an overwhelming number of messages, which can in some cases result in them leaving the site.[citation needed]

There is some evidence that there may be differences in how women online rate male attractiveness as opposed to how men rate female attractiveness. The distribution of ratings given by men of female attractiveness appears to be the normal distribution, while ratings of men given by women is highly skewed, with 80% of men rated as below average.[127]

Allegations of discrimination

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Gay rights groups have complained that certain websites that restrict their dating services to heterosexual couples are discriminating against homosexuals. Homosexual customers of the popular eHarmony dating website have made many attempts to litigate discriminatory practices.[128] eHarmony was sued in 2007 by a lesbian claiming that "[s]uch outright discrimination is hurtful and disappointing for a business open to the public in this day and age."[129] In light of discrimination by sexual orientation by dating websites, some services such as GayDar.net and Chemistry.com cater more to homosexual dating.[citation needed]

Attention inequality

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Online dating shows attention inequality, where a small percentage of users receive most of the matches. Disclosure of number of matches received by other users was found to improve the supply and demand balance.[130]

Lawsuits filed against online dating services

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A 2011 class action lawsuit alleged Match.com failed to remove inactive profiles, did not accurately disclose the number of active members, and does not police its site for fake profiles;[131] the inclusion of expired and spam profiles as valid served to both artificially inflate the total number of profiles and camouflage a skewed gender ratio in which active users were disproportionately single males.[132] The suit claimed up to 60 percent were inactive profiles, fake or fraudulent users.[133] Some of the spam profiles were alleged to be using images of porn actresses, models, or people from other dating sites.[134] Former employees alleged Match routinely and intentionally over-represented the number of active members on the website and a huge percentage were not real members but 'filler profiles'.[135]

A 2012 class action against Successful Match ended with a November 2014 California jury award of $1.4 million in compensatory damages and $15 million in punitive damages.[136] SuccessfulMatch operated a dating site for people with STDs, PositiveSingles, which it advertised as offering a "fully anonymous profile" which is "100% confidential".[137] The company failed to disclose that it was placing those same profiles on a long list of affiliate site domains such as GayPozDating.com, AIDSDate.com, HerpesInMouth.com, ChristianSafeHaven.com, MeetBlackPOZ.com, HIVGayMen.com, STDHookup.com, BlackPoz.com, and PositivelyKinky.com.[138] This falsely implied that those users were black, Christian, gay, HIV-positive or members of other groups with which the registered members did not identify.[139][140][141] The jury found PositiveSingles guilty of fraud, malice, and oppression[142] as the plaintiffs' race, sexual orientation, HIV status, and religion were misrepresented by exporting each dating profile to niche sites associated with each trait.[143][144]

In 2013, a former employee sued adultery website Ashley Madison claiming repetitive strain injuries as creating 1000 fake profiles in one three week span "required an enormous amount of keyboarding" which caused the worker to develop severe pain in her wrists and forearms.[145] AshleyMadison's parent company, Avid Life Media, countersued in 2014, alleging the worker kept confidential documents, including copies of her "work product and training materials". The firm claimed the fake profiles were for "quality assurance testing" to test a new Brazilian version of the site for "consistency and reliability".[146]

In January 2014, an already-married Facebook user attempting to close a pop-up advertisement for Zoosk.com found that one click instead copied personal info from her Facebook profile to create an unwanted online profile seeking a mate, leading to a flood of unexpected responses from amorous single males.[147]

In 2014, It's Just Lunch International was the target of a New York class action alleging unjust enrichment as IJL staff relied on a uniform, misleading script which informed prospective customers during initial interviews that IJL already had at least two matches in mind for those customers' first dates regardless of whether or not that was true.[148]

In 2014, the US Federal Trade Commission fined UK-based JDI Dating (a group of 18 websites, including Cupidswand.com and FlirtCrowd.com)[149] over US$600000, finding that "the defendants offered a free plan that allowed users to set up a profile with personal information and photos. As soon as a new user set up a free profile, he or she began to receive messages that appeared to be from other members living nearby, expressing romantic interest or a desire to meet. However, users were unable to respond to these messages without upgrading to a paid membership ... [t]he messages were almost always from fake, computer-generated profiles — 'Virtual Cupids' — created by the defendants, with photos and information designed to closely mimic the profiles of real people."[150][151] The FTC also found that paid memberships were being renewed without client authorisation.

On June 30, 2014, co-founder and former marketing vice president of Tinder, Whitney Wolfe, filed a sexual harassment and sex discrimination suit in Los Angeles County Superior Court against IAC-owned Match Group, the parent company of Tinder. The lawsuit alleged that her fellow executives and co-founders Rad and Mateen had engaged in discrimination, sexual harassment, and retaliation against her, while Tinder's corporate supervisor, IAC's Sam Yagan, did nothing.[152] IAC suspended CMO Mateen from his position pending an ongoing investigation, and stated that it "acknowledges that Mateen sent private messages containing 'inappropriate content,' but it believes Mateen, Rad and the company are innocent of the allegations".[153] In December 2018, The Verge reported that Tinder had dismissed Rosette Pambakian, the company's vice president of marketing and communication who had accused Tinder's former CEO Greg Blatt of sexual assault, along with several other employees who were part of the group of Tinder employees who had previously sued the Match Group for $2 billion.[154]

In 2017 Darlene Daggett, QVC's president for U.S. commerce from 2002 to 2007, filed a lawsuit against matchmaking agency Kelleher International.[155] The company, owned by Amber Kelleher-Andrews agreed to settle within hours of Daggett filing the lawsuit. Neither talked about the case, citing a non-disclosure agreement, but Daggett's lawsuit gives plenty of detail about her grievances with the California-based company. 'Due to her senior level position in a local firm, [she] felt that social dating sites did not provide her with the degree of screening and privacy she was looking for,' the lawsuit states. She opted in for the company's most expensive plan, the $150,000 CEO level, which guaranteed her matches from around the world and the personal attention of Kelleher-Andrews. But Daggett says she did not get what she paid for. Instead, she suffered brief romantic entanglements with increasingly disastrous men.[156]

Government regulation

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U.S. government regulation of dating services began with the International Marriage Broker Regulation Act (IMBRA)[157] which took effect in March 2007 after a federal judge in Georgia upheld a challenge from the dating site European Connections. The law requires dating services meeting specific criteria—including having as their primary business to connect U.S. citizens/residents with foreign nationals—to conduct, among other procedures, sex offender checks on U.S. customers before contact details can be provided to the non-U.S. citizen. In 2008, the state of New Jersey passed a law which requires the sites to disclose whether they perform background checks.[158]

In the People's Republic of China, using a transnational matchmaking agency involving a monetary transaction is illegal.[159] The Philippines prohibits the business of organizing or facilitating marriages between Filipinas and foreign men under the Republic Act 6955 (the Anti-Mail-Order Bride Law) of June 13, 1990; this law is routinely circumvented by basing mail-order bride websites outside the country.[160][161][162]

Singapore's Social Development Network is the governmental organization facilitating dating activities in the country. Singapore's government has actively acted as a matchmaker for singles for the past few decades, and thus only 4% of Singaporeans have ever used an online dating service, despite the country's high rate of internet penetration.[163]

In December 2010, a New York State Law called the "Internet Dating Safety Act" (S5180-A) went into effect that requires online dating sites with customers in New York State to warn users not to disclose personal information to people they do not know.[164]

See also

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Online dating refers to the practice of using dedicated platforms, including websites and mobile applications, to identify and initiate contact with potential romantic or sexual partners. Emerging in the mid-1990s with pioneering sites like , it evolved rapidly in the 2010s through apps such as , transforming interpersonal by leveraging user profiles, algorithms, and geolocation for connections. By 2023, approximately 39% of U.S. adults reported having used an online dating site or app at some point, with usage highest among younger demographics—53% of those under 30—and never-married individuals (52%). Online platforms now account for 20-40% of romantic partnerships in the United States, surpassing traditional avenues like friends or for many users, though on long-term outcomes remains mixed. While facilitating broader access to potential matches and diverse pairings, online dating has drawn scrutiny for issues including profile , safety risks from scams and , and associations with adverse effects such as increased anxiety and dissatisfaction among heavy users. Some recent studies suggest couples meeting via apps may experience elevated early rates—up to six times higher in initial years compared to offline matches—though other research indicates couples who meet online may marry sooner and have breakup rates no higher than those meeting offline, and findings on reported marital happiness vary, potentially due to factors like rushed commitments or mismatched expectations fostered by algorithmic curation.

History

Early Computer-Assisted Matching (1950s–1980s)

In the mid-1960s, the advent of accessible mainframe computers enabled the first computer-assisted dating services, which relied on of paper questionnaires via punched cards to match participants based on self-reported traits and preferences. These early systems lacked real-time interaction or components, instead mailing lists of potential matches after centralized . The process typically involved users submitting details such as age, , interests, and deal-breakers, which algorithms compared against compatibility criteria like shared hobbies or physical descriptions. The pioneering commercial service originated in the with Joan Ball's St. James Computer Dating Service, launched in 1964 as an extension of her traditional bureau in . Ball's operation, later rebranded as Com-Pat (for "computerized compatibility"), used early to analyze client data, charging fees for processed matches and targeting singles seeking efficient pairing amid post-war social shifts. This predated similar U.S. efforts and demonstrated viability despite initial skepticism toward mechanized romance. In the United States, Operation Match debuted in 1965, founded by Harvard undergraduates Jeffrey Tarr and Vaughan Morrill, along with associates including Douglas Ginsburg. Operating from a dorm room, the service targeted college students nationwide, requiring a 75-question punch-card form covering personality, habits, and ideals in a partner; responses were fed into an 7090 mainframe rented in New York for $12 per hour of processing time. Priced at $4 for women and $6 for men to account for perceived male-initiated norms, it generated 3-5 potential matches per user, with optional photos boosting appeal but not required. By fall 1965, Operation Match had processed around 90,000 questionnaires, yielding significant revenue—estimated at $500,000 in its debut year—while sparking media coverage and campus buzz, though matches often yielded low success rates due to rudimentary algorithms prioritizing surface-level similarities over deeper compatibility. The 1960s model proliferated into the 1970s, with services like MIT's Data-Mate in 1968 employing questionnaire-based matching for academic circles, and U.K.-based emerging around 1973 as a scaled commercial venture inspired by Operation Match, boasting over 44,000 members by the late 1970s through television advertising and centralized processing. These operations emphasized efficiency for busy professionals and students, yet faced critiques for oversimplifying human attraction—evident in user reports of mismatched pairings—and risks from data handling, as questionnaires included sensitive details without modern . Participation skewed toward educated, urban demographics, with men often outnumbering women, reflecting broader gender imbalances in formalized . By the 1980s, computer-assisted matching evolved modestly with cheaper minicomputers and early database software, enabling firms like those under the Scientific Marriage Foundation's influence to refine scoring systems derived from psychological inventories, though core mechanics remained analog-input, digital-output hybrids. Adoption grew amid rising divorce rates and delayed marriages, with services claiming thousands of unions— alone advertised facilitating 1,000 weekly matches—but empirical validation of long-term efficacy was sparse, limited to self-reported anecdotes rather than controlled studies. These precursors laid groundwork for algorithmic , underscoring computers' role in democratizing mate selection beyond social networks, albeit constrained by technological limits and cultural wariness of "depersonalized" .

Emergence of Web-Based Services (1990s–2000s)

The transition from proprietary computer networks and systems to the open World Wide Web in the mid-1990s facilitated the development of accessible, browser-based online dating platforms, which prioritized user profiles, searchable databases, and communication over real-time chat. These services emerged as usage surged, with U.S. household adoption rising from under 20% in 1995 to over 50% by 2000, driven by graphical browsers like launched in 1994. Match.com, founded in 1993 by and Peng T. Ong, became the pioneering web-based dating site when it launched publicly on April 21, 1995, offering free beta memberships to early users who created text-based profiles detailing interests, location, and partner preferences. Preceding it slightly, Kiss.com debuted in 1994 as one of the earliest dedicated sites, focusing on simple for singles. By the late , niche platforms proliferated, including in 1997, which targeted Jewish singles with community-specific filters, reflecting early segmentation by demographics to build trust amid widespread skepticism about online interactions. Into the 2000s, algorithmic innovation distinguished services like , founded in 2000 by clinical psychologist , which required extensive compatibility questionnaires—up to 400 questions—to generate matches based on psychological traits rather than superficial searches. This approach contrasted with Match.com's keyword-based system and appealed to users seeking long-term relationships, contributing to paid subscription models that generated revenue as user bases expanded. Sites like , launched in 2004, introduced free, data-driven quizzes to refine matching, while overall industry growth accelerated, with online dating becoming the second-largest paid content sector by 2007, underscoring its commercialization amid improving access and reduced dial-up limitations. Early adoption remained modest, with Pew Research indicating 3% of U.S. adults using such sites in 2005, often facing stigma as a last resort for the socially awkward, though empirical success stories gradually eroded doubts.

Mobile Apps and Mainstream Adoption (2010s–Present)

The advent of widespread ownership in the early catalyzed a pivot from desktop-centric web services to mobile-first lications, enabling real-time, geolocation-based interactions that integrated seamlessly into daily routines. , released in September 2012, pioneered the gamified "swipe" interface—swiping right to indicate interest and left to pass—which simplified user engagement and contributed to its explosive growth, amassing millions of users within years. This model emphasized visual profiles and immediate feedback, diverging from the detailed questionnaires of prior platforms and appealing particularly to younger demographics seeking casual connections. Subsequent apps built on this foundation while introducing variations to address user feedback on superficiality and safety. launched in 2014 with a women-initiate-contact rule to mitigate , attracting a user base focused on respectful discourse. , debuting in 2012 and relaunched in 2016, prioritized prompts and mutual interests over endless swiping, positioning itself as a tool for serious relationships with the tagline "designed to be deleted." , originating in 2009 but surging in the , catered to gay and bisexual men via proximity-based matching, influencing broader app designs. By 2023, alone reported over 60 million monthly active users globally, underscoring the sector's scale. Adoption metrics reflect mainstream integration: in , only 11% of U.S. adults had used online dating sites or apps, rising to 30% by 2020 and stabilizing around that level into the 2020s, with 53% of those under 30 reporting lifetime use. This surge paralleled smartphone penetration, with mobile apps comprising the vast majority of activity by the mid-2010s, as revenues climbed from modest figures to $6.18 billion industry-wide in 2024. Cultural normalization ensued, with online platforms overtaking traditional venues like bars or mutual friends for initiating romantic partnerships among younger cohorts, though retention challenges emerged amid complaints of fatigue and algorithmic biases.

Technology and Operations

Platform Types and Core Features

Online dating platforms are primarily classified by their partner-matching mechanisms into self-selection, system-selection, and hybrid models. Self-selection platforms enable users to create profiles and actively search for potential matches using filters for attributes like age, location, education, and interests, placing the onus on individual initiative. Examples include , established in 1995 as one of the earliest web-based services, which emphasizes user-driven browsing and has maintained a user base oriented toward serious relationships. System-selection platforms, in contrast, rely on proprietary algorithms to pair users based on responses to detailed questionnaires evaluating personality traits, values, and compatibility factors, often derived from psychological models. , launched in 2000, pioneered this approach with its 29 Dimensions of Compatibility model, requiring users to complete extensive assessments before matches are suggested, aiming to predict long-term relationship success. Hybrid models integrate algorithmic recommendations with user search capabilities, allowing flexibility; , founded in 2004, exemplifies this by combining compatibility questions with manual filtering. Platforms also differ by scope: general-purpose sites serve broad audiences, while niche platforms target specific subgroups to enhance and reduce pool size. Niche examples include for Jewish singles, established in 1997, and FarmersOnly, launched in 2005 for rural users, which cater to shared cultural, occupational, or lifestyle affinities. Since the , mobile apps have dominated, adapting these models to touchscreen interfaces; swipe-based apps like , introduced in 2012, represent a gamified variant of self-selection, using geolocation for proximity-based matching and quick left/right gestures to indicate interest, facilitating casual encounters. , launched in 2014, modifies this by requiring women to initiate contact in heterosexual matches, blending self-selection with gender-specific protocols. Core features across platforms include profile creation, where users upload , write bios, and specify preferences; matching systems tailored to the platform type; and asynchronous or real-time messaging for initial interactions, with users increasingly employing generative AI tools like ChatGPT to craft messages and profiles, as 26% of U.S. singles report using AI to enhance their dating experiences and nearly half of Gen Z singles incorporating such tools. elements, such as /block functions, photo verification, and algorithmic detection of suspicious behavior, are standard, though efficacy varies; for instance, reported blocking over 1.3 million accounts for policy violations in 2022 alone. typically follows a structure, with free access to basic matching and premium tiers offering visibility boosts, unlimited swipes, or advanced filters; eHarmony's subscription model, starting at around $35 monthly as of 2023, reflects system-selection platforms' emphasis on committed users. Data underpin operations, with platforms like , reoriented in 2016 toward relationships, using metrics from user interactions to refine suggestions.

Matching Algorithms and Their Mechanisms

Matching algorithms in online dating platforms employ computational methods to recommend potential partners by analyzing user profiles, stated preferences, behavioral , and interaction histories. These systems typically integrate elements of similarity matching, where users are paired based on overlapping attributes such as age, location, interests, or questionnaire responses, and behavioral signals like swiping patterns or messaging rates. Early implementations, such as eHarmony's patented introduced in 2000, relied on extensive compatibility questionnaires assessing 29 personality dimensions derived from to generate matches, aiming to predict long-term relationship success. In contrast, platforms like calculate "match percentages" by comparing users' answers to hundreds of multiple-choice questions on topics ranging from to lifestyle, weighted by importance ratings provided by users, to estimate ideological and value alignment. Swipe-based apps, including and , utilize ranking algorithms inspired by competitive systems like the Elo rating used in chess, adapted to score user desirability based on reciprocal swipes. 's mechanism assigns an internal score reflecting the ratio of right swipes received relative to those given, adjusting visibility such that higher-scoring users are shown to more potential matches while lower-scoring ones receive fewer recommendations; profiles are sequenced to prioritize those with predicted mutual interest, forming a "like queue" to optimize engagement. employs a similar swipe-driven model but incorporates user-initiated filters for traits like height or education, with algorithmic boosts for recently active profiles to enhance real-time matching. enhancements, common in hybrid systems like , refine recommendations by learning from aggregate user feedback—such as which profiles lead to conversations or dates—using to identify patterns across the user base, though specifics remain and often prioritize retention metrics over verified compatibility. Empirical evaluations reveal limited evidence that these algorithms substantially outperform user-driven selection or random pairing in fostering durable relationships. A comprehensive review of psychological research through 2012 found no rigorous studies demonstrating superior outcomes from proprietary matching systems compared to unassisted online searching, attributing claims of efficacy to marketing rather than validated causal links. Recent analyses indicate that algorithmic recommendations often amplify popularity biases, where users rated as more attractive by aggregate scores receive disproportionate exposure, potentially reducing diversity in matches and favoring short-term appeal over deeper compatibility. Platforms' opacity in algorithm design—rarely disclosing full parameters or training data—raises concerns about unintended reinforcement of user echo chambers or engagement loops that extend app usage without proportional success rates, as behavioral data shows matches driven more by volume of interactions than algorithmic precision.

User Demographics

Age and Adoption Patterns

Online dating adoption is highest among younger adults, with usage rates declining progressively with age. A 2023 survey by the Pew Research Center found that 53% of U.S. adults aged 18-29 reported having ever used a dating site or app, compared to 37% of those aged 30-49, 20% of those aged 50-64, and 13% of those aged 65 and older. These patterns reflect greater familiarity with digital platforms among younger cohorts, who grew up with smartphones and social media, versus older groups facing barriers like technological discomfort or smaller single pools. Among active users in 2025, (ages 18-28) and (ages 29-43) dominate, comprising 37% and 40% of the U.S. online dating service user base, respectively, according to data derived from a representative survey of over 1,300 consumers. Current user demographics from an SSRS poll indicate 40% aged 18-29, 44% aged 30-49, 12% aged 50-64, and just 4% aged 65 or older, underscoring persistent skew toward prime working-age adults. Platforms like exhibit even starker age gradients, with 79% of users under 30 having tried it versus 44% aged 30-49 and only 17% aged 50-64.
Age GroupEver Used (%) - Pew 2023Share of Current Users (%) - SSRS 2025
18-295340
30-493744
50-642012
65+134
Adoption among those 50 and older remains limited but shows gradual growth; data from 2023 reports 17% of this group having used dating platforms, often motivated by widowhood or later in life, though satisfaction lags due to scam risks and mismatched expectations. Younger users, by contrast, report higher engagement for , with 2025 Health analysis confirming 53% under-30 usage versus 13% for seniors. These disparities persist globally, with similar age-based declines in app penetration observed in markets like and , driven by cultural norms favoring traditional for elders.

Gender Ratios and Behaviors

Heterosexual online dating platforms exhibit a pronounced imbalance, with users typically comprising 60% to 75% of the user base. On , s account for approximately 75% of users as of 2025, while maintains a of about 65% to 35% . This disparity stems from higher adoption rates of dating apps, potentially linked to broader differences in engagement and strategies. Behavioral differences amplify the effects of this imbalance. Men initiate contact far more frequently, sending initial messages at a 4:1 ratio over women in analyzed datasets, with men averaging 21 messages sent compared to 8.6 for women. Straight women on are 3.5 times less likely to send the first message than straight men. Selectivity patterns show men approving 46% to 62% of female profiles via likes or swipes, while women approve only 4.5% to 14% of male profiles, leading to 79% of male-initiated messages going unreciprocated. These dynamics result in women facing message overload and exercising stricter criteria, often prioritizing higher-desirability partners, whereas men adopt broader outreach to compete in a supply-constrained market. Women who initiate contact achieve better matches with more desirable men, suggesting passivity yields advantages in reciprocal exchanges. Overall experiences reflect this: 57% of men report positive online dating encounters versus 48% of women, attributed partly to initiation burdens and selectivity mismatches.

Racial and Ethnic Dynamics

Empirical analyses of online dating platforms reveal pronounced racial and ethnic preferences among users, with a general tendency toward same-race partnering despite increased opportunities for cross-racial interaction. Data from major sites indicate that response rates to messages vary significantly by the sender's and recipient's race, often disadvantaging certain groups. For instance, between 2009 and 2014, OkCupid's examination of over 25 million user interactions showed receiving the lowest reply rates from men across racial groups, while Asian women garnered the highest responses, particularly from and men. Similarly, Asian men and black men experienced lower response rates compared to men, who received replies from nearly all demographic groups. These patterns align with findings from controlled experiments and broader datasets. A speed-dating study involving graduate students found strong same-race preferences, particularly among women, with interracial contact rates below 10% despite diverse participant pools; preferences correlated with shared backgrounds and but persisted independently. European online dating data from 2015 echoed this, showing natives and minorities favoring same-race partners with a status hierarchy—whites preferred over others—stronger in countries with lower foreign-born populations. differences are consistent: women exhibit stronger in-group biases than men across studies.
Sender Race/GenderAverage Response Rate Advantage/Disadvantage (Relative to White Men/Women Baseline)
White MenBaseline (highest overall replies)
Asian Women+20-30% from most groups
-20-40% from most groups
Asian Men-15-25% from most groups
Black Men-10-20% from most groups
Note: Derived from aggregated OkCupid and app-specific data (2009-2014); exact variances depend on recipient demographics. Despite these preferences, online platforms facilitate higher interracial matching than traditional methods. A 2020 analysis found couples meeting online 15-20% more likely to be interracial or interethnic, attributing this to expanded choice sets overcoming geographic and social barriers. However, same-race sorting remains dominant, with estimated preferences reducing cross-racial outcomes by up to 50% compared to color-blind scenarios in econometric models. Recent data from 2024 confirms persistent hierarchies, with white users receiving preferential swipes globally. Such dynamics reflect underlying tendencies rather than platform design alone, as offline interracial marriage rates hover at 17% overall but vary sharply—e.g., 29% for Hispanics versus 12% for whites.

Public Opinions and Cultural Shifts

on online dating has evolved from widespread stigma to broader, albeit mixed, . Early perceptions often portrayed users as desperate or dishonest, with a 2011 survey of users finding that 57% believed online daters frequently lied about . By 2023, a analysis indicated that such negative stereotypes had waned, with only 21% of respondents agreeing that online dating users are desperate, reflecting a decline in overt stigma. Concurrently, usage rates underscore normalization: 30% of U.S. adults reported having used dating sites or apps, up from lower figures in prior decades, though experiences remain polarized, with 53% of users describing them as positive and 47% as negative. Demographic divides persist in these views, with younger adults showing higher endorsement. For instance, 79% of online daters under 30 have used , compared to just 1% of those 65 and older, correlating with greater optimism among youth about platforms facilitating connections. Overall societal impact garners : 42% of U.S. adults in 2025 surveys stated online dating eases finding long-term partners, while 22% deemed it more difficult, and a plurality (51%) saw no net effect on relationships. concerns temper enthusiasm, as 49% view online dating as unsafe for meeting people. Culturally, online dating has shifted norms from organic, proximity-based encounters to algorithm-mediated swiping, reducing reliance on social networks for introductions. The abundance of options on dating platforms contributes to a perceived paradox of choice, which may foster fear of missing out (FOMO), encourage superficial swiping, and increase ghosting behaviors. Women have gained greater control over partner selection and initiation on certain apps, such as Bumble, where they traditionally initiate contact, while men experience heightened competition for matches. A 2017 survey found 89% of couples meeting online were prior strangers, bypassing traditional intermediaries like friends or family and enabling pairings across geographic and social barriers. This has normalized digital but sparked debates on authenticity, with critics noting amplified superficiality in mate selection—evident in platform designs prioritizing photos over depth—and a rise in casual hookups over committed pursuits. Usage has climbed modestly to 39% of adults by 2025, signaling entrenched integration, yet persistent gender disparities in experiences (e.g., women reporting more ) fuel ongoing scrutiny of its relational efficacy.

Niche Markets and Economic Models

Niche dating platforms target specific demographic, lifestyle, or interest-based subgroups, enabling more precise matching than generalist sites but often commanding smaller user bases. Examples include EliteSingles, which caters to educated professionals seeking long-term relationships, with over 90% of users holding bachelor's degrees or higher as of 2025; Christian Mingle, focused on evangelical Christians, serving a segment where faith compatibility is prioritized; and FarmersOnly, aimed at rural and agricultural communities since its launch in 2005. Other niches encompass age-specific services like OurTime for those over 50 and affinity-based apps for single parents (e.g., Stir) or fitness enthusiasts, reflecting a market trend toward specialized services amid broader industry growth projected at 6.8% CAGR from $9.4 billion in 2023 to $18.1 billion by 2033. While mainstream apps like Tinder hold dominant market shares—e.g., leading the U.S. with significant revenue—Tinder is the leader in the US dating app market, but Bumble has increased its market share every year since 2017—niche platforms capture dedicated segments by reducing competition from incompatible profiles, though they face challenges in scaling due to limited pool sizes. Economic models in online dating predominantly rely on structures, where basic features like profile creation and limited swiping are free to attract users, while premium subscriptions unlock advanced functionalities such as unlimited matches or ad removal. , for instance, generates revenue through tiered plans like Tinder Plus ($9.99/month) and ($29.99/month) as of 2025, contributing to global revenues exceeding $6 billion in 2024. Subscription-based models, as seen in and , emphasize paid access for compatibility algorithms and messaging, yielding steady income from committed users; eHarmony's model, requiring upfront fees for assessments, supports its focus on serious relationships. In-app purchases, including virtual gifts, profile boosts, or super likes, provide impulse revenue—'s boosts, which elevate visibility for 30 minutes, account for a notable portion of microtransactions—while and affiliate partnerships supplement earnings, though less common in premium niches to avoid alienating users seeking . Niche platforms often adapt these by offering value-added tiers tailored to their audience, such as verified professional credentials on EliteSingles, enabling higher retention and per-user revenue despite fragmented markets. Overall, these models balance user acquisition costs with conversion rates, with proving most scalable for mass-market apps, while niches leverage loyalty for subscription uptake.

Global and Economic Influences

The global online dating industry reached $6.18 billion in revenue in , underscoring its economic scale and integration into international consumer markets, with projections for continued growth driven by digital infrastructure expansion in and . Over 350 million individuals used dating apps worldwide that year, a figure reflecting accelerated adoption in urbanizing economies where traditional social networks erode due to migration and work demands. Economic conditions exert causal influence on usage patterns, as higher disposable incomes enable premium subscriptions and app monetization; in the U.S., 45% of upper-income online daters paid for services in 2023, versus 36% of middle-income users, indicating that affluence amplifies participation beyond basic access. affordability and proliferation, tied to GDP , correlate with penetration rates, which exceed 17% in high-income nations like the U.S. but lag in lower-GDP regions due to infrastructural deficits. Recessions may indirectly boost reliance on cost-free matching for partner selection, though empirical data on cyclical effects remains limited, with steady growth persisting amid post-2020 economic recovery. Cross-nationally, adoption disparities highlight economic and infrastructural thresholds: the U.S. leads with 17.9-21.9% of adults using platforms in 2023-2024, followed by the at 19.1%, while rates in developing economies like or hover below 10% amid uneven digital divides and cultural premiums on arranged or community-based pairings. In wealthier, individualistic societies, disrupts kin networks, elevating apps as efficient search tools; conversely, collectivist or resource-scarce contexts constrain uptake via norms favoring offline or limited device ownership. Globalization via apps homogenizes mating heuristics, enabling cross-border signaling of traits like and ambition, yet reinforces assortative matching by , as evidenced by field experiments showing income-driven profile visits predominantly among same-bracket seekers. Macroeconomic stability underpins this by sustaining inflows—Match Group alone generated $3.5 billion of 2024's total—while volatility in emerging markets tempers scalability despite demographic booms. Overall, the sector's trajectory aligns with broader trends in service , where amplifies virtual marketplaces for relational goods.

Outcomes and Empirical Effectiveness

Relationship and Marriage Formation

Approximately 39% of heterosexual couples in the United States met their partner as of 2017, marking a sharp increase from 2% in 1995. This trend reflects the growing role of platforms in facilitating romantic connections, with data indicating that 1 in 10 partnered U.S. adults met their current partner through dating, rising to 1 in 5 among those under 30. Similarly, 25% of engaged couples surveyed in 2025 reported meeting on , underscoring the platform's contribution to marriage formation despite its casual reputation. Empirical studies confirm that online dating leads to relationship formation at rates comparable to offline methods. A 2013 analysis of over 19,000 U.S. couples found that those meeting online, including via sites like and , transitioned to marriage or long-term partnerships, with 23% of online daters reporting such outcomes. More recent data from a large-scale Swiss study published in 2021 showed that relationships initiated on dating apps exhibited similar levels of satisfaction and commitment intentions as those formed offline, with users prioritizing long-term goals. A 2020 study on users further demonstrated that app usage predicted romantic relationship formation one year later, particularly among younger demographics with higher engagement. Platform-specific mechanisms influence formation success. eHarmony's compatibility , emphasizing matching, has been associated with couples reporting higher initial marital satisfaction (5.64 on a 1-10 scale versus 5.48 for offline) in a 2013 PNAS study of 35,000 users. However, couples meeting online tend to progress to marriage faster than offline pairs, as evidenced by longitudinal data showing accelerated timelines post-2010. User demographics play a role; never-married adults are twice as likely to have used apps (52% versus 16% for married adults), facilitating broader access to potential partners. While 42% of U.S. adults view online dating as easing the search for long-term partners, outcomes vary by intent and platform design. Serious-oriented sites yield higher formation rates for committed relationships compared to swipe-based apps, though both contribute substantially to modern pairings.

Long-Term Stability and Divorce Rates

Empirical studies on the long-term stability of relationships formed through online dating present mixed findings, with early research indicating advantages and more recent evidence suggesting disadvantages relative to offline-formed unions. A 2013 study analyzing 19,131 U.S. married couples found that those who met online reported higher marital satisfaction scores (5.64 on a 0-7 scale versus 5.48 for offline) and lower dissolution rates (5.96% divorced or separated versus 7.67%), even after controlling for demographics such as age and education; the authors attributed this to potentially better partner matching via online platforms. However, this study predates the dominance of swipe-based dating apps and relied on retrospective self-reports from eHarmony users, introducing potential selection bias toward more committed online daters. Subsequent research highlights lower stability for online-initiated marriages, particularly those from modern dating apps. A 2023 study of 923 married or engaged U.S. adults by Liesel Sharabi found that couples who met online reported significantly lower marital satisfaction ( d = -0.28) and stability compared to offline couples, with online daters more likely to express doubts about their relationship's future; this "online dating effect" persisted after adjusting for variables like relationship length and demographics. Similarly, a 2021 analysis of official and records from 2008-2019 by the Marriage Foundation revealed that couples meeting via online dating apps were six times more likely to within the first three years of (20% dissolution rate versus 3% for or introductions), escalating to higher rates by year seven; the study linked this to rushed courtships and weaker social vetting in app-based matches. Divorce rate comparisons remain challenging due to limited longitudinal data tracking lifetime outcomes, but short- to medium-term metrics consistently show elevated risks for online-formed marriages in recent cohorts. For instance, a 2022 on U.S. couples indicated 12% divorce probability within three years for online daters, rising to 17% by seven years, exceeding rates for offline equivalents; this aligns with broader trends where app users report faster relationship progression but shallower commitments. A 2024 replication study confirmed a negative between online meeting and marriage quality, with dissolution risks amplified by factors like perceived abundance of alternatives on platforms. These patterns may reflect causal mechanisms such as algorithmic emphasis on superficial traits over compatibility or reduced /friend input, though self-selection—where less stable individuals gravitate to apps—cannot be ruled out without randomized controls. Overall, while online dating facilitates pairings, evidence from 2020 onward suggests it correlates with diminished long-term viability compared to traditional methods.

Risks and Criticisms

Personal Safety and Violence

A study examining police-reported sexual assaults in a major U.S. metropolitan area from 2017 to 2020 identified 1,968 cases of acquaintance-perpetrated , of which 14% occurred during the initial in-person meeting arranged via a . These app-facilitated assaults exhibited distinct patterns, including elevated use of alcohol or drugs to incapacitate victims—occurring in 67% of cases compared to 45% in non-app acquaintance assaults—and a higher proportion involving offenders who presented as strangers despite prior online contact. Homicides stemming from online dating encounters remain rare but have been documented in criminal records, often involving or targeting vulnerabilities during meetups. Empirical aggregation is challenging due to inconsistent reporting, though analyses of U.S. cases suggest an approximate lifetime of 1 in 160,000 for users encountering a murderer through apps, based on verified incidents relative to user base size. Such events frequently feature premeditated luring, as seen in multiple convictions for murders of individuals met via apps, with offenders exploiting location-sharing and isolated rendezvous points. Comparative research on perpetration reveals no significant divergence between online and offline origins, with perpetration rates ranging from 6-37% across modalities, influenced more by individual risk factors like prior than platform type. However, online platforms amplify exposure to unvetted strangers, correlating with heightened self-reported safety concerns—particularly among women, 57% of whom encounter on apps—and underscoring causal vulnerabilities from abbreviated screening processes. Mitigation relies on user vigilance, such as prioritizing initial meetings in public places, verifying profiles through research or platform tools, enabling identity verification features where available, carefully managing privacy settings to control information sharing, conducting a video call to confirm identity before offline meetings, avoiding sharing sensitive personal information prematurely, conducting background checks, and practicing safe sex, though platform verification tools show variable efficacy in preventing escalations to physical harm. Users should also research current user reviews when selecting platforms and utilize free trials where available to assess safety features.

Scams, Fraud, and Financial Exploitation

Romance represent a prevalent form of financial exploitation on online dating platforms, where perpetrators create fabricated personas to cultivate emotional bonds before soliciting funds from victims. In 2023, the (FTC) recorded 64,003 reports of romance scams, resulting in total losses exceeding $1.14 billion, with a median loss of $2,000 per victim—marking it the costliest type of reported that year. These frauds disproportionately affect women and older adults, who comprise a significant portion of victims due to targeted appeals exploiting or trust in digital romantic connections. Scammers typically initiate contact via dating apps or , using stolen photos of attractive individuals to build rapport through frequent messaging and shared interests. They accelerate by professing love prematurely and fabricating urgent scenarios, such as medical emergencies, travel complications, or opportunities requiring immediate wire transfers, , or gift cards—methods that evade easy reversal. Funds are often funneled to overseas operations, with Nigerian-based syndicates implicated in many cases, as evidenced by international law enforcement disruptions. Victims frequently discover the deception only after repeated payments deplete savings, with psychological studies indicating higher vulnerability among those with elevated or traits. Beyond direct monetary losses, these schemes enable broader financial exploitation, including through shared personal details or coerced investments in fake ventures. The FBI has noted evolving tactics, such as "verification schemes" where scammers demand fees for supposed background checks, further entrenching victim compliance. Empirical reviews highlight underreporting, with actual prevalence likely higher due to embarrassment deterring formal complaints, and systematic analyses revealing relational dynamics that mirror grooming patterns to sustain the over months. Enforcement efforts, including FTC advisories and FBI operations, have recovered portions of funds but underscore platforms' challenges in detecting sophisticated bots and human-operated fakes amid millions of daily interactions. Preventive strategies include researching platform user reviews and using free trials to evaluate legitimacy and safety protocols before engagement.

Psychological and Social Consequences

Online dating platforms have been associated with various psychological effects, including heightened risks of depression, anxiety, and diminished among users. A of 22 studies found that 86% reported negative impacts on , with frequent exposure to curated profiles fostering upward social comparisons and dissatisfaction, while nearly half linked app use to poorer outcomes such as increased psychological distress. Problematic use, characterized by compulsive swiping and excessive engagement, correlates with symptoms of depression and anxiety, particularly in young adults, where longitudinal data indicate that higher message volumes on apps predict elevated depressive symptoms, though remains bidirectional. Addiction-like patterns in online dating app use further exacerbate these issues, with insecure attachment styles and traits predicting problematic behaviors akin to behavioral addictions. Research identifies enhancement as a motivator for initial use, yet sustained engagement often leads to cycles of validation-seeking that undermine long-term psychological well-being, including reduced self-regulation and heightened . For instance, studies on users reveal that negative urgency—impulsive responses to distress—drives addictive patterns, resulting in and avoidance of real-world social interactions. disparities amplify these effects, with algorithms reportedly throttling matches for men, contributing to and disproportionate to women's experiences. Socially, online dating alters interpersonal dynamics by promoting superficial judgments based on and brief , which can intensify of being single and partner choice overload from the perceived illusion of infinite options, leading to decision fatigue, dissatisfaction in interactions, fear of missing out (FOMO), superficial swiping behaviors, and increased ghosting as users perceive low costs to discarding potential connections. Empirical frequent app use to shifts away from traditional social networks, with preference for online interactions correlating with compulsive behaviors that impair affective well-being and real-life relationship formation. Among adolescents and young adults, this manifests in reduced face-to-face mating rituals, potentially eroding and fostering isolation, as platforms prioritize quantity over quality of connections, disrupting normative behaviors around . Additionally, problematic use associates with riskier sexual behaviors and higher STI rates, reflecting broader social consequences like normalized casual encounters over committed pairings. Emerging user practices include employing generative AI tools, such as ChatGPT, to generate messages on dating apps (a practice termed "chatfishing"), which has raised concerns about authenticity, deception, and over-reliance on AI for interpersonal communication. This raises authenticity concerns, as AI-assisted communication may foster deception or mismatched expectations by presenting inauthentic interactions and contributing to reduced genuine human engagement, with surveys indicating six in ten dating app users suspecting encounters with AI-generated conversations. While some marginalized groups report expanded through apps, overall patterns suggest a net decline in communal trust and organic bonding, with risks compounding interpersonal wariness.

Platform Liability Under

of the , enacted in 1996, immunizes interactive computer services, including online dating platforms, from civil liability for third-party content, treating them neither as publishers nor speakers of user-generated material such as profiles, messages, and matches. This protection applies broadly to dating apps like , , and , shielding them from suits alleging harm from user interactions, including , scams, or assaults facilitated through the platform, provided the platform does not materially contribute to the offending content's illegality. Courts have consistently upheld this immunity, reasoning that holding platforms liable would force excessive or shutdowns, contrary to 's intent to promote free speech and innovation online. In Herrick v. Grindr LLC (S.D.N.Y. 2018, aff'd 2d Cir. 2019), a user claimed failed to prevent via fake profiles created by an ex-partner, leading to real-world and threats; the court dismissed the and claims under , holding that Grindr's role as a neutral host of user content precluded liability for failing to intervene. Similarly, in Doe v. Grindr LLC (N.D. Cal. 2023, aff'd 9th Cir. 2025), a alleged the app's geolocation matching foreseeably paired with predatory adults, resulting in sexual exploitation; the Circuit affirmed dismissal of most claims under , exempting only the sex-trafficking allegation per the 2018 amendments, which carved out federal criminal liability for facilitating . The U.S. declined in the Doe case on October 14, 2025, preserving the Circuit's ruling and declining to narrow the immunity's scope for app features. Exceptions to immunity are narrow: platforms lose protection if they develop or materially assist in creating unlawful content, as in Fair Housing Council v. Roommates.com (9th Cir. 2008, ), where mandatory user prompts for discriminatory preferences rendered the site a co-developer, though no analogous cases have pierced immunity on this basis. Federal laws like FOSTA override for facilitation, enabling suits against platforms knowingly enabling such activity, but have largely avoided liability by arguing matches alone do not constitute "facilitation." State claims, such as of safety features, have also faltered if tied to user , as platforms' "" restrictions on objectionable material receive complementary immunity under (c)(2). Critics, including legal scholars, contend 's breadth disincentivizes proactive safety measures in high-risk contexts like , where over 50 million U.S. adults use apps annually and reported assaults linked to matches number in the thousands yearly per FBI data, yet platforms face no duty to verify users or mandate background checks without risking immunity loss. Proposed reforms, such as the 2024 Take It Down Act, aim to condition immunity on rapid removal of non-consensual intimate images but do not directly target -specific liabilities; as of October 2025, no legislation has curtailed for general user harms in this sector. Courts emphasize that policy changes belong to , not judges, maintaining platforms' operational freedom despite empirical evidence of harms like a 2023 FTC report documenting over 64,000 complaints tied to sites, totaling $1 billion in losses.

Key Lawsuits and Consumer Complaints

In 2019, the U.S. Federal Trade Commission (FTC) sued Match Group, owner of Match.com, alleging the platform used fake love interest advertisements—such as profiles of attractive individuals purportedly viewing or liking users' profiles—to induce non-subscribers to purchase paid memberships, despite knowing many such profiles belonged to scammers or inactive users. The case highlighted that Match.com received over 500 consumer complaints about romance scams originating from the site between 2013 and 2018, yet continued the practices. In August 2025, Match Group settled for $14 million in refunds and injunctive relief, agreeing to cease deceptive advertising, implement better scam detection, and simplify subscription cancellations, while denying wrongdoing. A proposed class-action filed in February 2024 against accused , , and other subsidiaries of designing addictive features—like infinite swiping, gamified notifications, and paywalls for basic interactions—to maximize revenue rather than facilitate matches, violating laws in states including and New York. Plaintiffs claimed these mechanics eroded users' , leading to excessive spending and prolonged engagement without meaningful connections, with one user reportedly spending over $2,000. In December 2024, a U.S. compelled for claims in a related suit, citing user agreements. Additional litigation includes an August 2025 lawsuit against alleging platform inaction allowed known sexual predators to remain active on and , contributing to assaults after matches. For , a 2021 class-action suit claimed the app discriminated against heterosexual men by requiring women to initiate conversations, limiting their matches; it settled in 2022 for $3.26 million plus app modifications like new reaction features. Consumer complaints to the FTC surged in recent years, with over 70,000 reports in 2022 alone, resulting in $1.3 billion in losses, many originating from dating apps or sites where scammers posed as romantic interests before soliciting funds for emergencies or investments. The (BBB) documented nearly 7,500 complaints against online dating services from 2017 to 2020, frequently citing fake profiles, unresponsive customer service, unauthorized charges, and difficulties canceling subscriptions. BBB analyses noted that scammers often steal photos for profiles and build trust over weeks before requesting money, with victims skewing older and more likely to be women. FTC data from 2023 revealed common scammer tactics included fabricating or medical crises to extract funds, underscoring platforms' challenges in verifying user authenticity despite user reports of suspicious activity.

Government Regulations and Interventions

In the United States, the (FTC) has pursued enforcement actions against online dating platforms for deceptive practices and failure to address scams, including a against alleging that the company permitted scammers to target vulnerable users on , , and other sites, resulting in consumer losses exceeding $1.3 million before the case settled. The FTC has also documented escalating romance scam losses, with reports indicating $304 million in 2022 and a peak of $547 million in 2021, primarily originating from interactions initiated on dating apps or . In response to these issues, introduced the Romance Scam Prevention Act (S.841) in the 119th Congress, mandating that online dating services notify users via "fraud ban notifications" if they exchanged messages with individuals later banned for suspected fraud, a measure passed by the House in June 2025 as part of broader bills like the Online Dating Safety Act (H.R.6125). These notifications must include details of the banned user's profile and a warning about potential fraud risks. The FTC continues active interventions, including an August 2025 settlement with an unnamed online dating platform for misleading users about safety features and match authenticity, alongside broader rules finalized in August 2024 prohibiting the purchase or sale of fake reviews that could inflate platform trustworthiness. Federal agencies, including the FTC and , launched joint public awareness campaigns in 2022 to educate users on romance scams targeting interactions, emphasizing verification of identities and avoidance of financial transfers. In the United Kingdom, the imposes duties on online platforms, including dating apps, to mitigate harms such as illegal content, , and child exploitation through risk assessments and proactive measures like content removal. Enforcement began in phases, with age verification requirements activated for platforms offering adult-oriented services in July 2025, prompting apps like , , , , and to implement mandatory checks via video selfies or government-issued IDs to prevent underage access. The Act also targets and non-consensual sharing of intimate images, with regulators empowered to impose fines up to 10% of global revenue on non-compliant dating services. The European Union's (DSA), effective from November 2022 with full platform obligations by 2024, classifies dating apps as intermediary services required to enhance transparency, provide mechanisms for reporting illegal content (e.g., scams or ), and conduct assessments for harms like or . Platforms such as and have complied by establishing dedicated DSA reporting channels for users and publishing annual transparency reports detailing actions. While not dating-specific, the DSA's enforcement against very large platforms has indirectly pressured dating services to bolster user safety features amid broader scrutiny of online harms. In , a voluntary industry code for online dating safety, finalized in October 2024 and enforceable from April 2025, compels major platforms to verify user identities, implement anti-scam technologies, and report fraud incidents to authorities, with non-compliance risking mandatory regulations. Internationally, governments have focused on scam prevention through cross-border cooperation, though specific dating regulations remain fragmented, with countries like and experimenting with state-operated apps to address demographic concerns rather than imposing platform-wide rules.

References

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