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Emoji
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Each of the most popular emoji from the 9 major emoji categories according to the Unicode Emoji Frequency study from 2021, rendered in the Noto Color Emoji font

An emoji (/ɪˈmi/ im-OH-jee; plural emoji or emojis;[1] Japanese: 絵文字, pronounced [emoꜜʑi]) is a pictogram, logogram, ideogram, or smiley embedded in text and used in electronic messages and web pages. The primary function of modern emoji is to fill in emotional cues otherwise missing from typed conversation as well as to replace words as part of a logographic system.[2] Emoji exist in various genres, including facial expressions, expressions, activity, food and drinks, celebrations, flags, objects, symbols, places, types of weather, animals, and nature.[3]

The first emoji sets were created by Japanese portable electronic device companies in the late 1980s and the 1990s.[4] The word emoji comes from Japanese e (; 'picture') + moji (文字; 'character') and originally meant 'pictograph';[5] the resemblance to the English words emotion and emoticon is purely coincidental.[6] Emoji became increasingly popular worldwide in the 2010s after Unicode began encoding emoji into the Unicode Standard.[7][8][9] They are now considered to be a large part of popular culture in the West and around the world.[10][11] In 2015, Oxford Dictionaries named the emoji U+1F602 😂 FACE WITH TEARS OF JOY its word of the year.[12][13]

History

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Evolution from emoticons (1990s)

[edit]

The emoji was predated by the emoticon,[14] a concept implemented in 1982 by computer scientist Scott Fahlman when he suggested text-based symbols such as :-) and :-( could be used to replace language.[15] Theories about language replacement can be traced back to the 1960s, when Russian novelist and professor Vladimir Nabokov stated in an interview with The New York Times: "I often think there should exist a special typographical sign for a smile — some sort of concave mark, a supine round bracket."[16] It did not become a mainstream concept until the 1990s, when Japanese, American, and European companies began developing Fahlman's idea.[17][18] Mary Kalantzis and Bill Cope point out that similar symbology was incorporated by Bruce Parello, a student at the University of Illinois, into PLATO IV, the first e-learning system, in 1972.[19][20] The PLATO system was not considered mainstream, and therefore Parello's pictograms were only used by a small number of people.[21] Scott Fahlman's emoticons importantly used common alphabet symbols and aimed to replace language/text to express emotion, and for that reason are seen as the actual origin of emoticons.

The first emoji are a matter of contention due to differing definitions and poor early documentation.[22][4] It was previously widely considered that DoCoMo had the first emoji set in 1999, but an Emojipedia blog article in 2019 brought SoftBank's earlier 1997 set to light.[22] More recently, in 2024, earlier emoji sets were uncovered on portable devices by Sharp Corporation and NEC[23] in the early 1990s, with the 1988 Sharp PA-8500 harboring what can be defined as the earliest known emoji set that reflects emoji keyboards today.[24][4]

Wingdings icons, including smiling and frowning faces

Wingdings, a font invented by Charles Bigelow and Kris Holmes, was released by Microsoft in 1990.[25] It could be used to send pictographs in rich text messages, but would only load on devices with the Wingdings font installed.[22] In 1995, the French newspaper Le Monde announced that Alcatel would be launching a new phone, the BC 600. Its welcome screen displayed a digital smiley face, replacing the usual text seen as part of the "welcome message" often seen on other devices at the time.[26] In 1997, SoftBank's J-Phone arm launched the SkyWalker DP-211SW, which contained a set of 90 emoji. Its designs, each measuring 12 by 12 pixels, were monochrome, depicting numbers, sports, the time, moon phases, and the weather. It contained the Pile of Poo emoji in particular.[22] The J-Phone model experienced low sales, and the emoji set was thus rarely used.[27]

In 1999, Shigetaka Kurita created 176 emoji as part of NTT DoCoMo's i-mode, used on its mobile platform.[28][29][30] They were intended to help facilitate electronic communication and to serve as a distinguishing feature from other services.[7] Due to their influence, Kurita's designs were once claimed to be the first cellular emoji;[22] however, Kurita has denied that this is the case.[31][32] According to interviews, he took inspiration from Japanese manga where characters are often drawn with symbolic representations called manpu (such as a water drop on a face representing nervousness or confusion), and weather pictograms used to depict the weather conditions at any given time. He also drew inspiration from Chinese characters and street sign pictograms.[30][33][34] The DoCoMo i-Mode set included facial expressions, such as smiley faces, derived from a Japanese visual style commonly found in manga and anime, combined with kaomoji and smiley elements.[35] Kurita's work is displayed in the Museum of Modern Art in New York City.[36]

Kurita's emoji were brightly colored, albeit with a single color per glyph. General-use emoji, such as sports, actions, and weather, can readily be traced back to Kurita's emoji set.[37] Notably absent from the set were pictograms that demonstrated emotion. The yellow-faced emoji in current use evolved from other emoticon sets and cannot be traced back to Kurita's work.[37] His set also had generic images much like the J-Phones. Elsewhere in the 1990s, Nokia phones began including preset pictograms in its text messaging app, which they defined as "smileys and symbols".[38] A third notable emoji set was introduced by Japanese mobile phone brand au by KDDI.[22][39]

Development of emoji sets (2000–2007)

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The basic 12-by-12-pixel emoji in Japan grew in popularity across various platforms over the next decade. While emoji adoption was high in Japan during this time, the competitors failed to collaborate to create a uniform set of emoji to be used across all platforms in the country.[40]

Smiley faces from DOS code page 437

The Universal Coded Character Set (Unicode), controlled by the Unicode Consortium and ISO/IEC JTC 1/SC 2, had already been established as the international standard for text representation (ISO/IEC 10646) since 1993, although variants of Shift JIS remained relatively common in Japan. Unicode included several characters which would subsequently be classified as emoji, including some from North American or Western European sources such as DOS code page 437, ITC Zapf Dingbats, or the WordPerfect Iconic Symbols set.[41][42] Unicode coverage of written characters was extended several times by new editions during the 2000s, with little interest in incorporating the Japanese cellular emoji sets (deemed out of scope),[43] although symbol characters which would subsequently be classified as emoji continued to be added. For example, Unicode 4.0 contained 16 new emoji, which included direction arrows, a warning triangle, and an eject button.[44] Besides Zapf Dingbats, other dingbat fonts such as Wingdings or Webdings also included additional pictographic symbols in their own custom pi font encodings; unlike Zapf Dingbats, however, many of these would not be available as Unicode emoji until 2014.[45]

Nicolas Loufrani applied to the US Copyright Office in 1999 to register the 471 smileys that he created.[46] Soon after he created The Smiley Dictionary, which not only hosted the largest number of smileys at the time, it also categorized them.[47] The desktop platform was aimed at allowing people to insert smileys as text when sending emails and writing on a desktop computer.[48] By 2003, it had grown to 887 smileys and 640 ascii emotions.[49]

The smiley toolbar offered a variety of symbols and smileys and was used on platforms such as MSN Messenger.[50] Nokia, then one of the largest global telecom companies, was still referring to today's emoji sets as smileys in 2001.[51] The digital smiley movement was headed up by Nicolas Loufrani, the CEO of The Smiley Company.[48] He created a smiley toolbar, which was available at smileydictionary.com during the early 2000s to be sent as emoji.[52] Over the next two years, The Smiley Dictionary became the plug-in of choice for forums and online instant messaging platforms. There were competitors, but The Smiley Dictionary was the most popular. Platforms such as MSN Messenger allowed for customisation from 2001 onwards, with many users importing emoticons to use in messages as text. These emoticons would eventually go on to become the modern-day emoji. It was not until MSN Messenger and BlackBerry noticed the popularity of these unofficial sets and launched their own from late 2003 onwards.[53]

Beginnings of Unicode emoji (2007–2014)

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Emoji being added to a text message, 2013
An early use of the heart symbol as part of an English language sentence in the I Love New York advertising campaign of 1977

The first American company to take notice of emoji was Google beginning in 2007. In August 2007, a team made up of Mark Davis and his colleagues Kat Momoi and Markus Scherer began petitioning the Unicode Technical Committee (UTC) in an attempt to standardise the emoji.[54] The UTC, having previously deemed emoji to be out of scope for Unicode, made the decision to broaden its scope to enable compatibility with the Japanese cellular carrier formats which were becoming more widespread.[43] Peter Edberg and Yasuo Kida joined the collaborative effort from Apple Inc. shortly after, and their official UTC proposal came in January 2009 with 625 new emoji characters. Unicode accepted the proposal in 2010.[54]

Pending the assignment of standard Unicode code points, Google and Apple implemented emoji support via Private Use Area schemes. Google first introduced emoji in Gmail in October 2008, in collaboration with au by KDDI,[39] and Apple introduced the first release of Apple Color Emoji to iPhone OS on 21 November 2008.[55] Initially, Apple's emoji support was implemented for holders of a SoftBank SIM card; the emoji themselves were represented using SoftBank's Private Use Area scheme and mostly resembled the SoftBank designs.[56] Gmail emoji used their own Private Use Area scheme in a supplementary Private Use plane.[57][58]

Separately, a proposal had been submitted in 2008 to add the ARIB extended characters used in broadcasting in Japan to Unicode. This included several pictographic symbols.[59] These were added in Unicode 5.2 in 2009, a year before the cellular emoji sets were fully added; they include several characters which either also appeared amongst the cellular emoji[57] or were subsequently classified as emoji.[60]

After iPhone users in the United States discovered that downloading Japanese apps allowed access to the keyboard, pressure grew to expand the availability of the emoji keyboard beyond Japan.[61] The Emoji application for iOS, which altered the Settings app to allow access to the emoji keyboard, was created by Josh Gare in February 2010.[62] Before the existence of Gare's Emoji app, Apple had intended for the emoji keyboard to only be available in Japan in iOS version 2.2.[63]

Throughout 2009, members of the Unicode Consortium and national standardization bodies of various countries gave feedback and proposed changes to the international standardization of the emoji. The feedback from various bodies in the United States, Europe, and Japan agreed on a set of 722 emoji as the standard set. This would be released in October 2010 in Unicode 6.0.[64] Apple made the emoji keyboard available to those outside of Japan in iOS version 5.0 in 2011.[65] Later, Unicode 7.0 (June 2014) added the character repertoires of the Webdings and Wingdings fonts to Unicode, resulting in approximately 250 more Unicode emoji.[45]

The Unicode emoji whose code points were assigned in 2014 or earlier are therefore taken from several sources. A single character could exist in multiple sources, and characters from a source were unified with existing characters where appropriate: for example, the "shower" weather symbol (☔️) from the ARIB source was unified with an existing umbrella with raindrops character,[66] which had been added for KPS 9566 compatibility.[67] The emoji characters named "Rain" ("雨", ame) from all three Japanese carriers were in turn unified with the ARIB character.[57] However, the Unicode Consortium groups the most significant sources of emoji into four categories:[68]

Source category Abbreviations Unicode version (year) Included sources Example
Zapf Dingbats ZDings, z 1.0 (1991) ITC Zapf Dingbats Series 100 ❣️ (U+2763 ← 0xA3)[69]
ARIB ARIB, a 5.2 (2008) ARIB STD-B24 Volume 1 extended Shift JIS ⛩️ (U+26E9 ← 0xEE4B)[70]
Japanese carriers JCarrier, j 6.0 (2010) NTT DoCoMo mobile Shift JIS 🎠 (U+1F3A0 ← 0xF8DA)[71]
au by KDDI mobile Shift JIS 📌 (U+1F4CC ← 0xF78A)[71]
SoftBank 3G mobile Shift JIS 💒 (U+1F492 ← 0xFB7D)[71]
Wingdings and Webdings WDings, w 7.0 (2014) Webdings 🛳️ (U+1F6F3 ← 0x54)[72]
Wingdings 🏵️ (U+1F3F5 ← 0x7B)[72]
Wingdings 2 🖍️ (U+1F58D ← 0x24)[72]
Wingdings 3 ▶️ (U+25B6 ← 0x75)[72][a]

UTS #51 and modern emoji (2015–present)

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Color emoji from Google's Noto Emoji Project, started in 2012 and used by Gmail, Google Hangouts, ChromeOS and Android

In late 2014, a Public Review Issue was created by the Unicode Technical Committee, seeking feedback on a proposed Unicode Technical Report (UTR) titled "Unicode Emoji". This was intended to improve interoperability of emoji between vendors, and define a means of supporting multiple skin tones. The feedback period closed in January 2015.[73] Also in January 2015, the use of the zero-width joiner to indicate that a sequence of emoji could be shown as a single equivalent glyph (analogous to a ligature) as a means of implementing emoji without atomic code points, such as varied compositions of families, was discussed within the "emoji ad-hoc committee".[74]

Unicode 8.0 (June 2015) added another 41 emoji, including articles of sports equipment such as the cricket bat, food items such as the taco, new facial expressions, and symbols for places of worship, as well as five characters (crab, scorpion, lion face, bow and arrow, amphora) to improve support for pictorial rather than symbolic representations of the signs of the Zodiac.[b][76]

Also in June 2015, the first approved version ("Emoji 1.0") of the Unicode Emoji report was published as Unicode Technical Report #51 (UTR #51). This introduced the mechanism of skin tone indicators, the first official recommendations about which Unicode characters were to be considered emoji, and the first official recommendations about which characters were to be displayed in an emoji font in the absence of a variation selector, and listed the zero-width joiner sequences for families and couples that were implemented by existing vendors.[77] Maintenance of UTR #51, taking emoji requests, and creating proposals for emoji characters and emoji mechanisms was made the responsibility of the Unicode Emoji Subcommittee (ESC), operating as a subcommittee of the Unicode Technical Committee.[78][79]

An online version of Minesweeper using emoji

With the release of version 5.0 in May 2017 alongside Unicode 10.0, UTR #51 was redesignated a Unicode Technical Standard (UTS #51), making it an independent specification.[80] As of July 2017, there were 2,666 Unicode emoji listed.[81] The next version of UTS #51 (published in May 2018) skipped to the version number Emoji 11.0 so as to synchronise its major version number with the corresponding version of the Unicode Standard.[82] The popularity of emoji has caused pressure from vendors and international markets to add additional designs into the Unicode standard to meet the demands of different cultures. Some characters now defined as emoji are inherited from a variety of pre-Unicode messenger systems not only used in Japan, including Yahoo and MSN Messenger.[83] Corporate demand for emoji standardization has placed pressures on the Unicode Consortium, with some members complaining that it had overtaken the group's traditional focus on standardizing characters used for minority languages and transcribing historical records.[84] Conversely, the Consortium thought that public desire for emoji support has put pressure on vendors to improve their Unicode support,[85] which is especially true for characters outside the Basic Multilingual Plane,[86] thus leading to better support for Unicode's historic and minority scripts in deployed software.[85]

In 2022, the Unicode Consortium decided to stop accepting proposals for flag emoji, citing low use of the category and that adding new flags "creates exclusivity at the expense of others".[87][88] The Consortium stated that new flag emoji would still be added when their country becomes part of the ISO 3166-1 standard, with no proposal needed.[87][88]

Cultural influence

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Color illustrations of U+1F602 😂 FACE WITH TEARS OF JOY from Twemoji, Noto Emoji Project and Firefox OS

Oxford Dictionaries named U+1F602 😂 FACE WITH TEARS OF JOY[89] its 2015 Word of the Year.[90] Oxford noted that 2015 had seen a sizable increase in the use of the word "emoji" and recognized its impact on popular culture.[90] Oxford Dictionaries President Caspar Grathwohl expressed that "traditional alphabet scripts have been struggling to meet the rapid-fire, visually focused demands of 21st Century communication. It's not surprising that a pictographic script like emoji has stepped in to fill those gaps — it's flexible, immediate, and infuses tone beautifully."[91] SwiftKey found that "Face with Tears of Joy" was the most popular emoji across the world.[92] The American Dialect Society declared U+1F346 🍆 AUBERGINE to be the "Most Notable Emoji" of 2015 in their Word of the Year vote.[93] A 2015 report found U+1F4A9 💩 PILE OF POO was most popular in Canada among users of a proprietary keyboard application.[94]

Some emoji are specific to Japanese culture, such as a bowing businessman (U+1F647 🙇 PERSON BOWING DEEPLY), the shoshinsha mark used to indicate a beginner driver (U+1F530 🔰 JAPANESE SYMBOL FOR BEGINNER), a white flower (U+1F4AE 💮 WHITE FLOWER) used to denote "brilliant homework",[95] or a group of emoji representing popular foods: ramen noodles (U+1F35C 🍜 STEAMING BOWL), dango (U+1F361 🍡 DANGO), onigiri (U+1F359 🍙 RICE BALL), curry (U+1F35B 🍛 CURRY AND RICE), and sushi (U+1F363 🍣 SUSHI). Unicode Consortium founder Mark Davis compared the use of emoji to a developing language, particularly mentioning the American use of eggplant (U+1F346 🍆 AUBERGINE) to represent a phallus.[96] Some linguists have classified emoji and emoticons as discourse markers.[97]

A variety of emoji as they appear on Google's Noto Color Emoji set, as of 2024.
A variety of emoji as they appear on Google's Noto Color Emoji set as of 2024

In December 2015, a sentiment analysis of emoji was published,[98] and the Emoji Sentiment Ranking 1.0[99] was provided. In 2016, a musical about emoji premiered in Los Angeles.[100][101] The animated The Emoji Movie was released in summer 2017.[102][103]

In January 2017, in what is believed to be the first large-scale study of emoji usage, researchers at the University of Michigan analyzed over 1.2 billion messages input via the Kika Emoji Keyboard[104] and announced that U+1F602 😂 FACE WITH TEARS OF JOY was the most popular emoji. U+2764 ❤️ HEAVY BLACK HEART and U+1F60D 😍 SMILING FACE WITH HEART-SHAPED EYES stood second and third, respectively. The study also found that the French use heart emoji the most.[105] People in countries like Australia, France, and the Czech Republic used more happy emoji, while this was not so for people in Mexico, Colombia, Chile, and Argentina, where people used more negative emoji in comparison to cultural hubs known for restraint and self-discipline, like Turkey, France, and Russia.[106]

There has been discussion among legal experts on whether or not emoji could be admissible as evidence in court trials.[107][108] Furthermore, as emoji continue to develop and grow as a "language" of symbols, there may also be the potential of the formation of emoji "dialects".[109] Emoji are being used as more than just to show reactions and emotions.[110] Snapchat has even incorporated emoji in its trophy and friends system with each emoji showing a complex meaning.[111] Emoji can also convey different meanings based on syntax and inversion. For instance, 'fairy comments' involve heart, star, and fairy emoji placed between the words of a sentence. These comments often invert the meanings associated with hearts and may be used to 'tread on borders of offense.'[112]

Sample emoji probability distributions generated by the DeepMoji model

In 2017, the MIT Media Lab published DeepMoji, a deep neural network sentiment analysis algorithm that was trained on 1.2 billion emoji occurrences in Twitter data from 2013 to 2017.[113][114] DeepMoji was found to outperform human subjects in correctly identifying sarcasm in Tweets and other online modes of communication.[115][116][117] In 2021, DeepMoji gained international attention when it was featured in the text-to-speech website 15.ai, which used its emoji embeddings to allow users to specify the emotion of AI-generated speech through guiding phrases.[118][119][120]

Use in furthering causes

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On March 5, 2019,[121] a drop of blood (U+1FA78 🩸 DROP OF BLOOD) emoji was released, which is intended to help break the stigma of menstruation.[122] In addition to normalizing periods, it will also be relevant to describe medical topics such as donating blood and other blood-related activities.[122]

A mosquito (U+1F99F 🦟 MOSQUITO) emoji was added in 2018 to raise awareness for diseases spread by the insect, such as dengue and malaria.[123]

Linguistic function of emoji

[edit]

Linguistically, emoji are used to indicate emotional state; they tend to be used more in positive communication. Some researchers believe emoji can be used for visual rhetoric. Emoji can be used to set emotional tone in messages. Emoji tend not to have their own meaning but act as a paralanguage, adding meaning to text. Emoji can add clarity and credibility to text.[124]

Sociolinguistically, the use of emoji differs depending on speaker and setting. Women use emoji more than men. Men use a wider variety of emoji. Women are more likely to use emoji in public communication than in private communication. Extraversion and agreeableness are positively correlated with emoji use; neuroticism is negatively correlated. Emoji use differs between cultures: studies in terms of Hofstede's cultural dimensions theory found that cultures with high power distance and tolerance to indulgence used more negative emoji, while those with high uncertainty avoidance, individualism, and long-term orientation use more positive emoji.[124] A 6-country user experience study showed that emoji-based scales (specifically the usage of smileys) may ease the challenges related to translation and implementation for brief cross-cultural surveys.[125]

As emoji act as a paralanguage this causes a unique pattern to be seen in the bigrams, trigrams, and quadrigrams of emoji. A study conducted by Gretchen McCulloch and Lauren Gawne showed that the most common bigrams, trigrams, and quadrigrams of emoji are those that repeat the same emoji.[126] Unlike other languages emoji frequently are repeated one after another, while in languages, such as English, it is rare to see words repeated after one another.[126] An example of this is that a common bigram for emoji is two crying laughing emoji. Rather than being a repeated word or phrase the use of emoji after one another typically represents an emphasize of the displayed emoji's meaning instead.[126] So, one crying laughing emoji means something is funny, two represent it's really funny, three might represent it's incredibly funny, and so forth.

Emoji communication problems

[edit]

Research has shown that emoji are often misunderstood. In some cases, this misunderstanding is related to how the actual emoji design is interpreted by the viewer;[127] in other cases, the emoji that was sent is not shown in the same way on the receiving side.[128]

The first issue relates to the cultural or contextual interpretation of the emoji. When the author picks an emoji, they think about it in a certain way, but the same character may not trigger the same thoughts in the mind of the receiver.[129] For example, people in China have developed a system for using emoji subversively so that a smiley face could be sent to convey a despising, mocking, and obnoxious attitude, as the orbicularis oculi (the muscle near that upper eye corner) on the face of the emoji does not move, and the orbicularis oris (the one near the mouth) tightens, which is believed to be a sign of suppressing a smile.[130]

The second problem relates to encodes. When an author of a message picks an emoji from a list, it is normally encoded in a non-graphical manner during the transmission, and if the author and the reader do not use the same software or operating system for their devices, the reader's device may visualize the same emoji in a different way. As an example, in April 2020, British actress and presenter Jameela Jamil posted a tweet from her iPhone using U+1F92D 🤭 SMILING FACE WITH SMILING EYES AND HAND COVERING MOUTH as part of a comment on people shopping for food during the COVID-19 pandemic. On Apple's iOS, the emoji expression was neutral and pensive, but on other platforms the emoji shows as a giggling face. Some fans thought that she was mocking poor people, but this was not her intended meaning.[131]

Researchers from the German Studies Institute at Ruhr-Universität Bochum found that most people can easily understand an emoji when it replaces a word directly – like an icon for a rose instead of the word 'rose' – yet it takes people about 50 percent longer to comprehend the emoji.[132]

Variation and ambiguity

[edit]

Emoji characters vary slightly between platforms within the limits in meaning defined by the Unicode specification, as companies have tried to provide artistic presentations of ideas and objects.[133] For example, following an Apple tradition, the calendar emoji on Apple products always shows July 17, the date in 2002 Apple announced its iCal calendar application for macOS. This led some Apple product users to initially nickname July 17 "World Emoji Day".[134] Other emoji fonts show different dates or do not show a specific one.[135]

Some Apple emoji are very similar to the SoftBank standard, since SoftBank was the first Japanese network on which the iPhone launched. For example, U+1F483 💃 DANCER is female on Apple and SoftBank standards but male or gender-neutral on others.[136]

Journalists have noted that the ambiguity of emoji has allowed them to take on culture-specific meanings not present in the original glyphs. For example, U+1F485 💅 NAIL POLISH has been described as being used in English-language communities to signify "non-caring fabulousness"[137] and "anything from shutting haters down to a sense of accomplishment".[138][139] Unicode manuals sometimes provide notes on auxiliary meanings of an object to guide designers on how emoji may be used, for example noting that some users may expect U+1F4BA 💺 SEAT to stand for "a reserved or ticketed seat, as for an airplane, train, or theater".[140]

Controversial emoji

[edit]
Evolution of the pistol emoji as rendered by stock Android systems. From left to right: Jelly Bean (pistol), KitKat (blunderbuss), Lollipop (revolver), Oreo (revolver) and Pie (water gun).

Some emoji have been involved in controversy due to their perceived meanings. Multiple arrests and imprisonments have followed the usage of pistol (U+1F52B 🔫 PISTOL), knife (U+1F5E1 🗡 DAGGER KNIFE), and bomb (U+1F4A3 💣 BOMB) emoji in ways that authorities deemed credible threats.[141]

In the lead-up to the 2016 Summer Olympics, the Unicode Consortium considered proposals to add several Olympic-related emoji, including medals and events such as handball and water polo.[142] By October 2015, these candidate emoji included "rifle" (U+1F946 🥆 RIFLE) and "modern pentathlon" (U+1F93B 🤻 MODERN PENTATHLON).[143][144] However, in 2016, Apple and Microsoft opposed these two emoji, and the characters were added without emoji presentations, meaning that software is expected to render them in black-and-white rather than color, and emoji-specific software such as onscreen keyboards will generally not include them. In addition, while the original incarnations of the modern pentathlon emoji depicted its five events, including a man pointing a gun, the final glyph contains a person riding a horse, along with a laser pistol target in the corner.[141][144][145]

Drawing of a revolver
Drawing of a water pistol
Original (left) and revised (right) Twitter designs, showing the transition from a revolver to a water pistol

On August 1, 2016, Apple announced that in iOS 10, the pistol emoji (U+1F52B 🔫 PISTOL) would be changed from a realistic revolver to a water pistol.[141] Conversely, the following day, Microsoft pushed out an update to Windows 10 that changed its longstanding depiction of the pistol emoji as a toy raygun to a real revolver.[146] Microsoft stated that the change was made to bring the glyph more in line with industry-standard designs and customer expectations.[146] By 2018, most major platforms such as Google, Microsoft, Samsung, Facebook, and Twitter had transitioned their rendering of the pistol emoji to match Apple's water gun implementation.[147] Apple's change of depiction from a realistic gun to a toy gun was criticised by, among others, the editor of Emojipedia, because it could lead to messages appearing differently to the receiver than the sender had intended.[148] Insider's Rob Price said it created the potential for "serious miscommunication across different platforms", and asked, "What if a joke sent from an Apple user to a Google user is misconstrued because of differences in rendering? Or if a genuine threat sent by a Google user to an Apple user goes unreported because it is taken as a joke?"[149]

The eggplant (aubergine) emoji (U+1F346 🍆 AUBERGINE) has also seen controversy due to it being used to represent a penis.[93][96][150][151] Beginning in December 2014, the hashtag #EggplantFridays began to rise to popularity on Instagram for use in marking photos featuring clothed or unclothed penises.[150][151] This became such a popular trend that, beginning in April 2015, Instagram disabled the ability to search for not only the #EggplantFridays tag, but also other eggplant-containing hashtags, including simply #eggplant and #🍆.[150][151][152]

The peach emoji (U+1F351 🍑 PEACH) has likewise been used as a euphemistic icon for buttocks, with a 2016 Emojipedia analysis revealing that only seven percent of English language tweets with the peach emoji refer to the actual fruit.[153][154][155] In 2016, Apple attempted to redesign the emoji to less resemble buttocks. This was met with fierce backlash in beta testing, and Apple reversed its decision by the time it went live to the public.[156]

In December 2017, a lawyer in Delhi, India, threatened to file a lawsuit against WhatsApp for allowing use of the middle finger emoji (U+1F595 🖕 REVERSED HAND WITH MIDDLE FINGER EXTENDED) on the basis that the company is "directly abetting the use of an offensive, lewd, obscene gesture" in violation of the Indian Penal Code.[157]

Emoji implementation

[edit]

Early implementation in Japan

[edit]

Various, often incompatible, character encoding schemes were developed by the different mobile providers in Japan for their own emoji sets.[57][71] For example, the extended Shift JIS representation F797 is used for a convenience store (🏪) by SoftBank, but for a wristwatch (⌚️) by KDDI.[71][57] All three vendors also developed schemes for encoding their emoji in the Unicode Private Use Area: DoCoMo, for example, used the range U+E63E through U+E757.[57] Versions of iOS prior to 5.1 encoded emoji in the SoftBank private use area.[158][159]

Unicode support considerations

[edit]

Most, but not all, emoji are included in the Supplementary Multilingual Plane (SMP) of Unicode, which is also used for ancient scripts, some modern scripts such as Adlam or Osage, and special-use characters such as Mathematical Alphanumeric Symbols.[160] Some systems introduced prior to the advent of Unicode emoji were only designed to support characters in the Basic Multilingual Plane (BMP) on the assumption that non-BMP characters would rarely be encountered,[86] although failure to properly handle characters outside of the BMP precludes Unicode compliance.[161]

The introduction of Unicode emoji created an incentive for vendors to improve their support for non-BMP characters.[86] The Unicode Consortium notes that "[b]ecause of the demand for emoji, many implementations have upgraded their Unicode support substantially", also helping support minority languages that use those features.[85]

Color support

[edit]

Any operating system that supports adding additional fonts to the system can add an emoji-supporting font. However, inclusion of colorful emoji in existing font formats requires dedicated support for color glyphs. Not all operating systems have support for color fonts, so, emoji might have to be rendered as black-and-white line art or not at all. There are four different formats used for multi-color glyphs in an SFNT font,[162] not all of which are necessarily supported by a given operating system library or software package such as a web browser or graphical program.[163]

Implementation by different platforms and vendors

[edit]

Apple first introduced emoji to their desktop operating system with the release of OS X 10.7 Lion, in 2011. Users can view emoji characters sent through email and messaging applications, which are commonly shared by mobile users, as well as any other application. Users can create emoji symbols using the "Characters" special input panel from almost any native application by selecting the "Edit" menu and pulling down to "Special Characters", or by the key combination ⌘ Command+⌥ Option+T. The emoji keyboard was first available in Japan with the release of iPhone OS version 2.2 in 2008.[164] The emoji keyboard was not officially made available outside of Japan until iOS version 5.0.[165] From iPhone OS 2.2 through to iOS 4.3.5 (2011), those outside Japan could access the keyboard but had to use a third-party app to enable it. Apple has revealed that the U+1F602 😂 FACE WITH TEARS OF JOY is the most popular emoji among English-speaking Americans. On second place is the red heart emoji, followed by U+1F62D 😭 LOUDLY CRYING FACE.[166][better source needed]

An update for Windows 7 and Windows Server 2008 R2 brought a subset of the monochrome Unicode set to those operating systems as part of the Segoe UI Symbol font.[167] As of Windows 8 Preview, the Segoe UI Emoji font is included, which supplies full-color pictographs. The plain Segoe UI font lacks emoji characters, whereas Segoe UI Symbol and Segoe UI Emoji include them. Emoji characters can be accessed through the onscreen keyboard's 😀 key. The emoji panel shortcut ⊞ Win+. was added in Windows 10 version 1803.

In 2016, Firefox 50 added in-browser emoji rendering for platforms lacking in native support.[168]

Facebook and Twitter replace all Unicode emoji used on their websites with their own custom graphics. Prior to October 2017, Facebook had different sets for the main site and for its Messenger service, where only the former provides complete coverage. Messenger now uses Apple emoji on iOS, and the main Facebook set elsewhere.[169] Facebook reactions are only partially compatible with standard emoji.[170]

Modifiers

[edit]

Emoji versus text presentation

[edit]

Unicode defines variation sequences for many of its emoji to indicate their desired presentation.

Emoji characters can have two main kinds of presentation:

  • an emoji presentation, with colorful and perhaps whimsical shapes, even animated
  • a text presentation, such as black & white

— Unicode Technical Report #51: Unicode Emoji[68]

Specifying the desired presentation is done by following the base emoji with either U+FE0E VARIATION SELECTOR-15 (VS15) for text or U+FE0F VARIATION SELECTOR-16 (VS16) for emoji-style.[171] As of version 17.0 (2025), Unicode defines presentation sequences for 371 characters.[172] However, the Unicode Technical Committee has since determined that unifying colourful emoji characters with textual symbols and dingbats was a "mistake", and resolved to allocate new code points rather than defining new presentation sequences.[173]

Sample emoji variation sequences
U+ 2139 231B 26A0 2712 2764 1F004 1F21A
Default presentation Text Emoji Text Text Text Emoji Emoji
Base code point 🀄 🈚
Base+VS15 (text) ℹ︎ ⌛︎ ⚠︎ ✒︎ ❤︎ 🀄︎ 🈚︎
Base+VS16 (emoji) ℹ️ ⌛️ ⚠️ ✒️ ❤️ 🀄️ 🈚️
Twemoji image

Skin color

[edit]

Five symbol modifier characters were added with Unicode 8.0 to provide a range of skin tones for human emoji. These modifiers are U+1F3FB–U+1F3FF. They are based on the Fitzpatrick scale for classifying human skin color. Human emoji that are not followed by one of these five modifiers should be displayed in a generic, non-realistic skin tone, such as bright yellow (), blue (), or gray ().[68] Human emoji that are followed directly by these characters should take on their skin color,[174] as shown in the following table displaying skin tone variations of U+1F9D1 🧑 ADULT:


Sample use of Fitzpatrick modifiers
Text Image
Without modifier 🧑
U+1F3FB 🏻 EMOJI MODIFIER FITZPATRICK TYPE-1-2 🧑🏻
U+1F3FC 🏼 EMOJI MODIFIER FITZPATRICK TYPE-3 🧑🏼
U+1F3FD 🏽 EMOJI MODIFIER FITZPATRICK TYPE-4 🧑🏽
U+1F3FE 🏾 EMOJI MODIFIER FITZPATRICK TYPE-5 🧑🏾
U+1F3FF 🏿 EMOJI MODIFIER FITZPATRICK TYPE-6 🧑🏿

Non-human emoji (like U+26FD FUEL PUMP) are unaffected by the Fitzpatrick modifiers.[175] As of Unicode version 17.0, Fitzpatrick modifiers can be used with 133 human emoji spread across seven blocks: Dingbats, Emoticons, Miscellaneous Symbols, Miscellaneous Symbols and Pictographs, Supplemental Symbols and Pictographs, Symbols and Pictographs Extended-A, and Transport and Map Symbols.[176]

Joining

[edit]
Behaviour of the ZWJ and ZWNJ format controls with various types of character, including emoji

Implementations may use a zero-width joiner (ZWJ) between multiple emoji to make them behave like a single, unique emoji character.[68] For example, the sequence U+1F468 👨 MAN, U+200D ZERO WIDTH JOINER, U+1F469 👩 WOMAN, U+200D ZERO WIDTH JOINER, U+1F467 👧 GIRL (👨‍👩‍👧) could be displayed as a single emoji depicting a family with a man, a woman, and a girl if the implementation supports it. Systems that do not support it would ignore the ZWJs, displaying only the three base emoji in order (👨👩👧).

Unicode previously maintained a catalog of emoji ZWJ sequences that were supported on at least one commonly available platform. The consortium has since switched to documenting sequences that are recommended for general interchange (RGI). These are clusters that emoji fonts are expected to include as part of the standard.[177]

The ZWJ has also been used to implement platform-specific emoji. For example, in 2016, Microsoft released a series of Ninja Cat emoji for their Windows 10 Anniversary Update. The sequence U+1F431 🐱 CAT FACE, U+200D ZERO WIDTH JOINER, U+1F464 👤 BUST IN SILHOUETTE was used to create Ninja Cat (🐱‍👤).[c][178] Ninja Cat and variants were removed in late 2021's Fluent emoji redesign.[179]

In Unicode

[edit]

Unicode 17.0 specifies a total of 3,953 emoji using 1,438 characters spread across 24 blocks, of which 26 are Regional indicator symbols that combine in pairs to form flag emoji, and 12 (#, * and 0–9) are base characters for keycap emoji sequences.[180][176][68]


  0 1 2 3 4 5 6 7 8 9 A B C D E F
U+00Ax ©️ ®️
U+203x ‼️
U+204x ⁉️
U+212x ™️
U+213x ℹ️
U+219x ↔️ ↕️ ↖️ ↗️ ↘️ ↙️
U+21Ax ↩️ ↪️
U+231x ⌚️ ⌛️
U+232x ⌨️
U+23Cx ⏏️
U+23Ex ⏩️ ⏪️ ⏫️ ⏬️ ⏭️ ⏮️ ⏯️
U+23Fx ⏰️ ⏱️ ⏲️ ⏳️ ⏸️ ⏹️ ⏺️
U+24Cx Ⓜ️
U+25Ax ▪️ ▫️
U+25Bx ▶️
U+25Cx ◀️
U+25Fx ◻️ ◼️ ◽️ ◾️
U+260x ☀️ ☁️ ☂️ ☃️ ☄️ ☎️
U+261x ☑️ ☔️ ☕️ ☘️ ☝️
U+262x ☠️ ☢️ ☣️ ☦️ ☪️ ☮️ ☯️
U+263x ☸️ ☹️ ☺️
U+264x ♀️ ♂️ ♈️ ♉️ ♊️ ♋️ ♌️ ♍️ ♎️ ♏️
U+265x ♐️ ♑️ ♒️ ♓️ ♟️
U+266x ♠️ ♣️ ♥️ ♦️ ♨️
U+267x ♻️ ♾️ ♿️
U+269x ⚒️ ⚓️ ⚔️ ⚕️ ⚖️ ⚗️ ⚙️ ⚛️ ⚜️
U+26Ax ⚠️ ⚡️ ⚧️ ⚪️ ⚫️
U+26Bx ⚰️ ⚱️ ⚽️ ⚾️
U+26Cx ⛄️ ⛅️ ⛈️ ⛎️ ⛏️
U+26Dx ⛑️ ⛓️ ⛔️
  0 1 2 3 4 5 6 7 8 9 A B C D E F
U+26Ex ⛩️ ⛪️
U+26Fx ⛰️ ⛱️ ⛲️ ⛳️ ⛴️ ⛵️ ⛷️ ⛸️ ⛹️ ⛺️ ⛽️
U+270x ✂️ ✅️ ✈️ ✉️ ✊️ ✋️ ✌️ ✍️ ✏️
U+271x ✒️ ✔️ ✖️ ✝️
U+272x ✡️ ✨️
U+273x ✳️ ✴️
U+274x ❄️ ❇️ ❌️ ❎️
U+275x ❓️ ❔️ ❕️ ❗️
U+276x ❣️ ❤️
U+279x ➕️ ➖️ ➗️
U+27Ax ➡️
U+27Bx ➰️ ➿️
U+293x ⤴️ ⤵️
U+2B0x ⬅️ ⬆️ ⬇️
U+2B1x ⬛️ ⬜️
U+2B5x ⭐️ ⭕️
U+303x 〰️ 〽️
U+329x ㊗️ ㊙️
U+1F00x 🀄
U+1F0Cx 🃏
U+1F17x 🅰️ 🅱️ 🅾️ 🅿️
U+1F18x 🆎
U+1F19x 🆑 🆒 🆓 🆔 🆕 🆖 🆗 🆘 🆙 🆚
U+1F20x 🈁 🈂️
U+1F21x 🈚
U+1F22x 🈯
U+1F23x 🈲 🈳 🈴 🈵 🈶 🈷️ 🈸 🈹 🈺
U+1F25x 🉐 🉑
U+1F30x 🌀 🌁 🌂 🌃 🌄 🌅 🌆 🌇 🌈 🌉 🌊 🌋 🌌 🌍 🌎 🌏
U+1F31x 🌐 🌑 🌒 🌓 🌔 🌕 🌖 🌗 🌘 🌙 🌚 🌛 🌜 🌝 🌞 🌟
  0 1 2 3 4 5 6 7 8 9 A B C D E F
U+1F32x 🌠 🌡️ 🌤️ 🌥️ 🌦️ 🌧️ 🌨️ 🌩️ 🌪️ 🌫️ 🌬️ 🌭 🌮 🌯
U+1F33x 🌰 🌱 🌲 🌳 🌴 🌵 🌶️ 🌷 🌸 🌹 🌺 🌻 🌼 🌽 🌾 🌿
U+1F34x 🍀 🍁 🍂 🍃 🍄 🍅 🍆 🍇 🍈 🍉 🍊 🍋 🍌 🍍 🍎 🍏
U+1F35x 🍐 🍑 🍒 🍓 🍔 🍕 🍖 🍗 🍘 🍙 🍚 🍛 🍜 🍝 🍞 🍟
U+1F36x 🍠 🍡 🍢 🍣 🍤 🍥 🍦 🍧 🍨 🍩 🍪 🍫 🍬 🍭 🍮 🍯
U+1F37x 🍰 🍱 🍲 🍳 🍴 🍵 🍶 🍷 🍸 🍹 🍺 🍻 🍼 🍽️ 🍾 🍿
U+1F38x 🎀 🎁 🎂 🎃 🎄 🎅 🎆 🎇 🎈 🎉 🎊 🎋 🎌 🎍 🎎 🎏
U+1F39x 🎐 🎑 🎒 🎓 🎖️ 🎗️ 🎙️ 🎚️ 🎛️ 🎞️ 🎟️
U+1F3Ax 🎠 🎡 🎢 🎣 🎤 🎥 🎦 🎧 🎨 🎩 🎪 🎫 🎬 🎭 🎮 🎯
U+1F3Bx 🎰 🎱 🎲 🎳 🎴 🎵 🎶 🎷 🎸 🎹 🎺 🎻 🎼 🎽 🎾 🎿
U+1F3Cx 🏀 🏁 🏂 🏃 🏄 🏅 🏆 🏇 🏈 🏉 🏊 🏋️ 🏌️ 🏍️ 🏎️ 🏏
U+1F3Dx 🏐 🏑 🏒 🏓 🏔️ 🏕️ 🏖️ 🏗️ 🏘️ 🏙️ 🏚️ 🏛️ 🏜️ 🏝️ 🏞️ 🏟️
U+1F3Ex 🏠 🏡 🏢 🏣 🏤 🏥 🏦 🏧 🏨 🏩 🏪 🏫 🏬 🏭 🏮 🏯
U+1F3Fx 🏰 🏳️ 🏴 🏵️ 🏷️ 🏸 🏹 🏺 🏻 🏼 🏽 🏾 🏿
U+1F40x 🐀 🐁 🐂 🐃 🐄 🐅 🐆 🐇 🐈 🐉 🐊 🐋 🐌 🐍 🐎 🐏
U+1F41x 🐐 🐑 🐒 🐓 🐔 🐕 🐖 🐗 🐘 🐙 🐚 🐛 🐜 🐝 🐞 🐟
U+1F42x 🐠 🐡 🐢 🐣 🐤 🐥 🐦 🐧 🐨 🐩 🐪 🐫 🐬 🐭 🐮 🐯
U+1F43x 🐰 🐱 🐲 🐳 🐴 🐵 🐶 🐷 🐸 🐹 🐺 🐻 🐼 🐽 🐾 🐿️
U+1F44x 👀 👁️ 👂 👃 👄 👅 👆 👇 👈 👉 👊 👋 👌 👍 👎 👏
U+1F45x 👐 👑 👒 👓 👔 👕 👖 👗 👘 👙 👚 👛 👜 👝 👞 👟
U+1F46x 👠 👡 👢 👣 👤 👥 👦 👧 👨 👩 👪 👫 👬 👭 👮 👯
U+1F47x 👰 👱 👲 👳 👴 👵 👶 👷 👸 👹 👺 👻 👼 👽 👾 👿
U+1F48x 💀 💁 💂 💃 💄 💅 💆 💇 💈 💉 💊 💋 💌 💍 💎 💏
U+1F49x 💐 💑 💒 💓 💔 💕 💖 💗 💘 💙 💚 💛 💜 💝 💞 💟
U+1F4Ax 💠 💡 💢 💣 💤 💥 💦 💧 💨 💩 💪 💫 💬 💭 💮 💯
U+1F4Bx 💰 💱 💲 💳 💴 💵 💶 💷 💸 💹 💺 💻 💼 💽 💾 💿
U+1F4Cx 📀 📁 📂 📃 📄 📅 📆 📇 📈 📉 📊 📋 📌 📍 📎 📏
U+1F4Dx 📐 📑 📒 📓 📔 📕 📖 📗 📘 📙 📚 📛 📜 📝 📞 📟
U+1F4Ex 📠 📡 📢 📣 📤 📥 📦 📧 📨 📩 📪 📫 📬 📭 📮 📯
U+1F4Fx 📰 📱 📲 📳 📴 📵 📶 📷 📸 📹 📺 📻 📼 📽️ 📿
  0 1 2 3 4 5 6 7 8 9 A B C D E F
U+1F50x 🔀 🔁 🔂 🔃 🔄 🔅 🔆 🔇 🔈 🔉 🔊 🔋 🔌 🔍 🔎 🔏
U+1F51x 🔐 🔑 🔒 🔓 🔔 🔕 🔖 🔗 🔘 🔙 🔚 🔛 🔜 🔝 🔞 🔟
U+1F52x 🔠 🔡 🔢 🔣 🔤 🔥 🔦 🔧 🔨 🔩 🔪 🔫 🔬 🔭 🔮 🔯
U+1F53x 🔰 🔱 🔲 🔳 🔴 🔵 🔶 🔷 🔸 🔹 🔺 🔻 🔼 🔽
U+1F54x 🕉️ 🕊️ 🕋 🕌 🕍 🕎
U+1F55x 🕐 🕑 🕒 🕓 🕔 🕕 🕖 🕗 🕘 🕙 🕚 🕛 🕜 🕝 🕞 🕟
U+1F56x 🕠 🕡 🕢 🕣 🕤 🕥 🕦 🕧 🕯️
U+1F57x 🕰️ 🕳️ 🕴️ 🕵️ 🕶️ 🕷️ 🕸️ 🕹️ 🕺
U+1F58x 🖇️ 🖊️ 🖋️ 🖌️ 🖍️
U+1F59x 🖐️ 🖕 🖖
U+1F5Ax 🖤 🖥️ 🖨️
U+1F5Bx 🖱️ 🖲️ 🖼️
U+1F5Cx 🗂️ 🗃️ 🗄️
U+1F5Dx 🗑️ 🗒️ 🗓️ 🗜️ 🗝️ 🗞️
U+1F5Ex 🗡️ 🗣️ 🗨️ 🗯️
U+1F5Fx 🗳️ 🗺️ 🗻 🗼 🗽 🗾 🗿
U+1F60x 😀 😁 😂 😃 😄 😅 😆 😇 😈 😉 😊 😋 😌 😍 😎 😏
U+1F61x 😐 😑 😒 😓 😔 😕 😖 😗 😘 😙 😚 😛 😜 😝 😞 😟
U+1F62x 😠 😡 😢 😣 😤 😥 😦 😧 😨 😩 😪 😫 😬 😭 😮 😯
U+1F63x 😰 😱 😲 😳 😴 😵 😶 😷 😸 😹 😺 😻 😼 😽 😾 😿
U+1F64x 🙀 🙁 🙂 🙃 🙄 🙅 🙆 🙇 🙈 🙉 🙊 🙋 🙌 🙍 🙎 🙏
U+1F68x 🚀 🚁 🚂 🚃 🚄 🚅 🚆 🚇 🚈 🚉 🚊 🚋 🚌 🚍 🚎 🚏
U+1F69x 🚐 🚑 🚒 🚓 🚔 🚕 🚖 🚗 🚘 🚙 🚚 🚛 🚜 🚝 🚞 🚟
U+1F6Ax 🚠 🚡 🚢 🚣 🚤 🚥 🚦 🚧 🚨 🚩 🚪 🚫 🚬 🚭 🚮 🚯
U+1F6Bx 🚰 🚱 🚲 🚳 🚴 🚵 🚶 🚷 🚸 🚹 🚺 🚻 🚼 🚽 🚾 🚿
U+1F6Cx 🛀 🛁 🛂 🛃 🛄 🛅 🛋️ 🛌 🛍️ 🛎️ 🛏️
U+1F6Dx 🛐 🛑 🛒 🛕 🛖 🛗 🛘 🛜 🛝 🛞 🛟
U+1F6Ex 🛠️ 🛡️ 🛢️ 🛣️ 🛤️ 🛥️ 🛩️ 🛫 🛬
U+1F6Fx 🛰️ 🛳️ 🛴 🛵 🛶 🛷 🛸 🛹 🛺 🛻 🛼
U+1F7Ex 🟠 🟡 🟢 🟣 🟤 🟥 🟦 🟧 🟨 🟩 🟪 🟫
  0 1 2 3 4 5 6 7 8 9 A B C D E F
U+1F7Fx 🟰
U+1F90x 🤌 🤍 🤎 🤏
U+1F91x 🤐 🤑 🤒 🤓 🤔 🤕 🤖 🤗 🤘 🤙 🤚 🤛 🤜 🤝 🤞 🤟
U+1F92x 🤠 🤡 🤢 🤣 🤤 🤥 🤦 🤧 🤨 🤩 🤪 🤫 🤬 🤭 🤮 🤯
U+1F93x 🤰 🤱 🤲 🤳 🤴 🤵 🤶 🤷 🤸 🤹 🤺 🤼 🤽 🤾 🤿
U+1F94x 🥀 🥁 🥂 🥃 🥄 🥅 🥇 🥈 🥉 🥊 🥋 🥌 🥍 🥎 🥏
U+1F95x 🥐 🥑 🥒 🥓 🥔 🥕 🥖 🥗 🥘 🥙 🥚 🥛 🥜 🥝 🥞 🥟
U+1F96x 🥠 🥡 🥢 🥣 🥤 🥥 🥦 🥧 🥨 🥩 🥪 🥫 🥬 🥭 🥮 🥯
U+1F97x 🥰 🥱 🥲 🥳 🥴 🥵 🥶 🥷 🥸 🥹 🥺 🥻 🥼 🥽 🥾 🥿
U+1F98x 🦀 🦁 🦂 🦃 🦄 🦅 🦆 🦇 🦈 🦉 🦊 🦋 🦌 🦍 🦎 🦏
U+1F99x 🦐 🦑 🦒 🦓 🦔 🦕 🦖 🦗 🦘 🦙 🦚 🦛 🦜 🦝 🦞 🦟
U+1F9Ax 🦠 🦡 🦢 🦣 🦤 🦥 🦦 🦧 🦨 🦩 🦪 🦫 🦬 🦭 🦮 🦯
U+1F9Bx 🦰 🦱 🦲 🦳 🦴 🦵 🦶 🦷 🦸 🦹 🦺 🦻 🦼 🦽 🦾 🦿
U+1F9Cx 🧀 🧁 🧂 🧃 🧄 🧅 🧆 🧇 🧈 🧉 🧊 🧋 🧌 🧍 🧎 🧏
U+1F9Dx 🧐 🧑 🧒 🧓 🧔 🧕 🧖 🧗 🧘 🧙 🧚 🧛 🧜 🧝 🧞 🧟
U+1F9Ex 🧠 🧡 🧢 🧣 🧤 🧥 🧦 🧧 🧨 🧩 🧪 🧫 🧬 🧭 🧮 🧯
U+1F9Fx 🧰 🧱 🧲 🧳 🧴 🧵 🧶 🧷 🧸 🧹 🧺 🧻 🧼 🧽 🧾 🧿
U+1FA7x 🩰 🩱 🩲 🩳 🩴 🩵 🩶 🩷 🩸 🩹 🩺 🩻 🩼
U+1FA8x 🪀 🪁 🪂 🪃 🪄 🪅 🪆 🪇 🪈 🪉 🪊 🪎 🪏
U+1FA9x 🪐 🪑 🪒 🪓 🪔 🪕 🪖 🪗 🪘 🪙 🪚 🪛 🪜 🪝 🪞 🪟
U+1FAAx 🪠 🪡 🪢 🪣 🪤 🪥 🪦 🪧 🪨 🪩 🪪 🪫 🪬 🪭 🪮 🪯
U+1FABx 🪰 🪱 🪲 🪳 🪴 🪵 🪶 🪷 🪸 🪹 🪺 🪻 🪼 🪽 🪾 🪿
U+1FACx 🫀 🫁 🫂 🫃 🫄 🫅 🫆 🫈 🫍 🫎 🫏
U+1FADx 🫐 🫑 🫒 🫓 🫔 🫕 🫖 🫗 🫘 🫙 🫚 🫛 🫜 🫟
U+1FAEx 🫠 🫡 🫢 🫣 🫤 🫥 🫦 🫧 🫨 🫩 🫪 🫯
U+1FAFx 🫰 🫱 🫲 🫳 🫴 🫵 🫶 🫷 🫸
  0 1 2 3 4 5 6 7 8 9 A B C D E F
Notes
1.^ As of Unicode version 16.0
2.^ Grey areas indicate non-emoji or non-assigned code points
3.^ "UTR #51: Unicode Emoji". Unicode Consortium.
4.^ "UCD: Emoji Data for UTR #51". Unicode Consortium. May 1, 2024.

Additional emoji can be found in the following Unicode blocks: Arrows (8 code points considered emoji), Basic Latin (12), CJK Symbols and Punctuation (2), Enclosed Alphanumeric Supplement (41), Enclosed Alphanumerics (1), Enclosed CJK Letters and Months (2), Enclosed Ideographic Supplement (15), General Punctuation (2), Geometric Shapes (8), Geometric Shapes Extended (13), Latin-1 Supplement (2), Letterlike Symbols (2), Mahjong Tiles (1), Miscellaneous Symbols and Arrows (7), Miscellaneous Technical (18), Playing Cards (1), and Supplemental Arrows-B (2).

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Emoji are small digital images and icons used to represent ideas, emotions, or objects in electronic text-based communication, enhancing expressiveness beyond alphabetic characters alone. Developed initially as a set of 176 pictograms by Japanese designer Shigetaka Kurita in 1999 for NTT DoCoMo's i-mode mobile internet service, emoji addressed the need for concise visual cues in early mobile messaging constrained by limited character displays. Their global standardization began with inclusion in the Unicode Standard in 2010, enabling cross-platform compatibility and rapid proliferation across devices and applications. As of Unicode 17.0 released in September 2025, the standard encompasses 3,953 emoji characters and sequences, including variations for skin tones, genders, and flags, reflecting ongoing expansions driven by user proposals and subcommittee reviews. While emoji facilitate nuanced interpersonal exchange and cultural adaptation in digital media, their implementation has involved controversies over design interpretations, such as the 2018 replacement of the handgun emoji with a toy gun variant amid gun control debates, and persistent variations in rendering across vendors that can alter intended meanings.

History

Origins in Text-Based Symbols and Japanese Innovation (1980s–1990s)

The origins of emoji trace back to text-based symbols known as emoticons, first proposed on September 19, 1982, by computer scientist Scott E. Fahlman at Carnegie Mellon University. Fahlman suggested using the sideways sequences :-) to indicate humorous or ironic posts and :-( for serious ones on the university's bulletin board system, aiming to distinguish tone in plain-text discussions amid frequent misunderstandings. These ASCII art constructs, readable when tilted sideways, quickly spread across early online forums, Usenet groups, and email, evolving into variations like ;-) for winking or :-( for sadness, though their adoption remained limited to text-heavy digital communication without graphical rendering. In parallel, Japan developed kaomoji—horizontal "face characters" (kao meaning "face" and moji meaning "character")—during the 1980s as an independent innovation leveraging the fuller character sets of Japanese input systems, including full-width and half-width katakana, hiragana, and kanji. Unlike Western emoticons' vertical tilt, kaomoji faced forward, enabling more expressive combinations such as (^^) for joy, (T_T) for tears, or (><) for frustration, which gained traction in the late 1980s and 1990s amid rising personal computer use and online bulletin boards like PC-VAN. This format allowed nuanced emotional conveyance in text, predating graphical icons and reflecting Japan's cultural emphasis on subtle facial cues in communication. By the late 1980s and into the 1990s, Japanese digital devices began incorporating rudimentary pictographic symbols as precursors to modern emoji, with sets appearing in systems like the 1988 Hertz terminal displays and 1990 mobile handsets, featuring icons for animals, zodiac signs, and objects rendered in low-resolution grids. These symbols, often proprietary and limited to 12x12 pixels, emerged in pagers (known as Pocket Bell) popular among teenagers, where users sent numeric codes evolving into simple graphical messages by the mid-1990s, fostering a culture of visual shorthand in mobile texting. Such innovations built on text symbols' foundation, bridging ASCII limitations toward standardized icons, though interoperability challenges persisted due to carrier-specific implementations.

Early Commercial Development and Domestic Adoption in Japan (1999–2007)

In 1999, NTT DoCoMo launched its i-mode mobile internet service in Japan, introducing the first widely used set of 176 proprietary emojis designed by interface developer Shigetaka Kurita to facilitate concise communication amid bandwidth limitations. Kurita created the icons over four to six weeks on a constrained 12-by-12-pixel grid, drawing inspiration from manga expressions, simplified kanji characters, weather forecast symbols, and common pictograms to represent emotions, objects, and actions efficiently in email and early mobile web content. The set included novel elements like a heart symbol, added in response to user feedback on the absence of emotional shorthand in initial i-mode messaging prototypes, marking a commercial pivot toward enhancing user engagement in Japan's burgeoning keitai (mobile phone) ecosystem. Following DoCoMo's success, rival carriers KDDI (via its au service) and SoftBank (formerly J-Phone) rapidly developed their own emoji sets in the early 2000s, expanding on DoCoMo's model with more detailed designs, animations, and additional characters to compete in the domestic mobile market. These proprietary implementations, often numbering around 200-250 symbols per carrier, prioritized differentiation but resulted in cross-network incompatibilities, where emojis from one provider displayed as garbled characters or blanks on devices from competitors. By 2005, partial alignments emerged through character mapping protocols, and in 2007, KDDI au undertook a major redesign of its primary set to closely mirror DoCoMo's originals, with Kurita's direct input to resolve persistent display issues and streamline commercial interoperability. Domestically, emojis quickly permeated Japanese mobile culture, becoming a standard feature in keitai email and SMS by the early 2000s as carriers integrated dedicated emoji keyboards into handsets, fostering widespread adoption among youth for nuanced emotional expression in text-limited interactions. This uptake transformed everyday communication, with users leveraging the symbols to convey subtle social cues akin to manga aesthetics, though proprietary variations limited seamless exchange until mid-decade adjustments. By 2007, emoji functionality was embedded across major networks, solidifying their role in Japan's high mobile penetration rate—exceeding 80 million subscribers—and setting the stage for broader standardization amid growing commercial reliance on visual shorthand for services like mobile gaming and content delivery.

Unicode Standardization and International Expansion (2007–2014)

In 2007, a Google internationalization team initiated efforts to incorporate emoji into the Unicode Standard, submitting a working draft proposal on August 3 that outlined encoding symbols widely used by Japanese carriers DoCoMo, KDDI, and SoftBank for mobile messaging. This proposal aimed to address interoperability challenges arising from proprietary emoji sets, which varied across vendors and hindered cross-platform communication. Google's involvement stemmed from internal work begun in 2006 to map Japanese emoji to private-use codes, highlighting the need for a universal standard to support growing international text messaging traffic. By 2009, the Unicode Consortium advanced these efforts with proposals to add 674 characters representing fixed emoji sets from Japanese manufacturers, enabling full UCS representation for mobile carriers' pictographs. Unicode 5.2, released that year, incorporated the first characters explicitly designed as emoji, primarily for compatibility with ARIB standards used in Japanese broadcasting and telecom. These initial additions focused on basic symbols like arrows, geometric shapes, and miscellaneous icons, laying groundwork without yet including the full diversity of carrier-specific designs. The pivotal advancement occurred with Unicode 6.0 in October 2010, which integrated a substantial collection of approximately 722 emoji characters, predominantly sourced from Japanese mobile sets, into the standard. This release marked emoji's formal recognition as pictographic characters alongside text, allowing vendors like Google, Apple, Microsoft, and Twitter to develop compatible implementations without relying on vendor-specific mappings. Subsequent updates built on this: Unicode 6.1 in 2012 added a smaller set of emoji, including enhancements to existing categories, while Unicode 7.0 in June 2014 introduced 250 new characters (standardized to 103 core additions), expanding into diverse themes such as people, animals, and objects to reflect broader cultural needs. Standardization facilitated international expansion beyond Japan's domestic market, where emoji had proliferated since the 1990s. Post-2010, global platforms adopted Unicode emoji, enabling consistent rendering across devices and languages; for instance, Apple's iOS began supporting color emoji internationally around 2011, while Android and web services followed suit, driving usage in English-speaking regions and beyond. This shift transformed emoji from niche Japanese features into ubiquitous digital symbols, with adoption accelerating as messaging apps like WhatsApp and social media integrated them, though variations in vendor designs initially caused display inconsistencies. By 2014, the Unicode Emoji Subcommittee's formation streamlined future proposals, ensuring sustained growth amid rising global demand.

Maturation of Global Standards and Proliferation (2015–2023)

In June 2015, the Unicode Consortium released Unicode 8.0, which included Emoji 1.0, formally defining a core set of 72 emoji characters and introducing skin tone modifiers to enable diverse representations of people emoji. This marked a maturation in standards through Unicode Technical Standard #51 (UTS #51), which established rules for emoji properties, default presentation (color vs. text), and sequence composition using zero-width joiners (ZWJ) for complex depictions like families or professions. These advancements addressed interoperability issues across platforms, ensuring consistent encoding while allowing vendors like Apple, Google, and Microsoft to develop proprietary color renderings. Subsequent annual updates expanded the repertoire systematically. Unicode 9.0 (June 2016) via Emoji 3.0 added 72 new characters, including clowns and pregnant woman, while later versions incorporated gender-neutral options and directional variants. By Emoji 5.0 (Unicode 10.0, June 2017), 239 additions included mythological creatures and food items; Emoji 11.0 (2018) brought 157 more, such as redhead and bald representations; and Emoji 12.0 (2019) introduced 230, emphasizing inclusivity with same-gender couples. Growth continued with Emoji 13.0 (2020, 117 new), focusing on animals like polar bear; Emoji 14.0 (2021, 112 new), adding medical symbols; and Emoji 15.0 (2022, 31 new base characters plus sequences). Emoji 15.1 (2023) prioritized sequences over new codepoints, yielding 118 combinable variants for enhanced expressivity. This progression reflected a deliberate curation process, prioritizing empirical user feedback and cultural proposals while maintaining backward compatibility.
Emoji VersionRelease YearUnicode VersionNew Emoji (Base + Sequences)Notable Additions
1.020158.072Skin tone modifiers, core formalization
3.020169.072Gestures, sports
5.0201710.0239Mythical beings, foods
11.0201811.0157Diversity in hair, faces
12.0201912.0230Gender variants, animals
13.0202013.0117Face coverings, wildlife
14.0202114.0112Symbols, people
15.0202215.031 + sequencesGestures, objects
15.1202315.1118 sequencesDirectional, combinable variants
Proliferation accelerated as standards unified implementation. By mid-2015, over half of Instagram comments included emojis, and major platforms like Facebook Messenger saw 5 billion daily transmissions. Android and iOS keyboards standardized support, with Google’s Noto Emoji and Twitter’s Twemoji enabling cross-device rendering; Windows 10 (2015) integrated full color emoji, closing gaps in desktop adoption. Global usage surged, with Twitter emoji mentions rising 724% from 2013 to 2023, and 92% of millennials incorporating them daily by the early 2020s, transcending language barriers in messaging apps like WhatsApp. By 2023, the corpus exceeded 3,600 distinct emojis, supported universally across operating systems and social media, fostering a shared visual lexicon despite rendering variations.

Recent Updates and Platform Integrations (2024–Present)

Unicode 16.0, released on September 10, 2024, introduced Emoji 16.0 with eight new characters, including a face with bags under the eyes (🫦), a paint splatter (🫨), and a person splashing water (👨‍🦰). These additions followed the Unicode Consortium's annual review process, prioritizing proposals for symbols enhancing expressive communication without redundancy. Major platforms began integrating Emoji 16.0 support in late 2024. Apple incorporated the new emojis into iOS 18 updates starting in 2024, with full rollout continuing into 2025 across devices. Google provided web font support in September 2024, with Android devices expected to receive them by March 2025 via system updates. Samsung planned One UI updates in October 2024 to enable display on Galaxy devices. In August 2024, Microsoft introduced custom emoji and reactions in Teams, allowing users to upload personalized images for workplace communication, tested initially with select symbols like Pepe the Frog. Apple launched Genmoji in iOS 18.2 during late 2024, enabling AI-generated custom emojis based on user descriptions via integrated intelligence features. Unicode 17.0, finalized on September 9, 2025, added Emoji 17.0 with new symbols such as Bigfoot (🦶), an orca (🐋), and a distorted face, alongside over 150 skin tone variants for existing sequences. Early platform previews emerged in late 2025, with broader adoption projected for 2026 on iOS, Android, and Windows systems. Android 16 Developer Preview 2 in December 2024 previewed partial Emoji 16.0 compatibility, signaling accelerated font rendering for future Unicode sets. In January 2026, the Unicode Consortium released sample images for draft proposals of Emoji 18.0, including a squinting face, pickle, meteor, lighthouse, and net. These candidates are scheduled for potential approval in September 2026, with integration anticipated into platforms such as iOS 27.

Technical Encoding and Implementation

Unicode Infrastructure and Emoji Subsets

Emoji are encoded within the Unicode Standard as specific characters and sequences assigned unique code points, primarily in dedicated blocks such as Emoticons (U+1F600–U+1F64F), Miscellaneous Symbols and Pictographs (U+1F300–U+1F5FF), and Transport and Map Symbols (U+1F680–U+1F6FF), among others. These code points support both single-character emoji and multi-codepoint sequences formed via mechanisms like Zero Width Joiner (ZWJ) for compositions (e.g., family groupings), variation selectors for presentation variants, and tag sequences for regional flags (e.g., U+1F1E6 followed by U+1F1F7 for 🇦🇩 Andorra). The Unicode Consortium governs this infrastructure through the Unicode Technical Committee (UTC), which delegates emoji-specific deliberations to the Emoji Subcommittee, responsible for evaluating proposals based on criteria including frequency of use, distinctiveness from existing characters, and compatibility with rendering technologies. Key to emoji functionality are binary character properties defined in Unicode Technical Standard (UTS) #51, such as Emoji=Yes (indicating potential emoji usage), Emoji_Presentation=Yes (defaulting to color glyph presentation over text), and Emoji_Modifier_Base=Yes (allowing skin tone modification via U+1F3FB–U+1F3FF). These properties, first systematically applied in Unicode 6.0 (released October 11, 2010), enable software to identify and process emoji distinctly from plain text, facilitating features like searching, sorting, and input methods. Updates occur annually with major Unicode releases, aligning emoji additions (e.g., 118 new emoji in Unicode 15.0, September 2022) to ensure backward compatibility and stability. Emoji subsets refer to curated collections within the broader emoji repertoire, with the primary one being the Recommended for General Interchange (RGI) Emoji set, a stable subset of valid characters and sequences vetted for interoperability and excluding provisional or unstable variants. This RGI_Emoji property, detailed in UTS #51, prioritizes widely adopted forms—such as core single-codepoint emoji and canonical sequences—totaling over 3,600 entries as of Emoji 15.1 (September 2023), while omitting edge cases like certain keycap or tag combinations unless stabilized. Additional subsets emerge from property filters, such as Emoji_Keycap (for digit symbols like 🔢) or Emoji_Flag (for country flags), aiding implementation in fonts and keyboards. These subsets mitigate fragmentation by recommending against non-RGI forms in cross-platform exchanges, though full implementations may include extended variants for specialized uses.

Rendering Challenges Across Devices and Fonts

While Unicode defines code points, properties, and recommended defaults for emoji—such as emoji-style (colorful) versus text-style (monochrome) presentation—the actual glyphs are not standardized, allowing platforms to implement distinct designs that differ in shape, color, detail, and artistic style. This vendor-specific approach, adopted by providers like Apple, Google, Microsoft, and Samsung, ensures brand consistency but creates interoperability challenges, as the same emoji (e.g., U+1F600 grinning face) may appear cartoonish on iOS, minimalist on Android, or segmented on Windows. Such variations stem from proprietary font technologies: Apple's Apple Color Emoji uses bitmap-based sbix format, Google's Noto Color Emoji employs CBDT/CBLC for compact bitmaps, and Microsoft's Segoe UI Emoji leverages COLR/CPAL for scalable vectors in Windows 11 (introduced 2021). These differences extend to interpretive risks; for example, the pistol emoji (U+1F52B) shifted from a realistic firearm in early designs to a toy water gun per Unicode's 2017 recommendation for non-violence, with widespread adoption of the water gun variant across major platforms by late 2018, though legacy systems, delayed vendor updates, and exceptions like Twitter/X's 2024 reversion to a realistic gun perpetuate mismatched renderings. Empirical studies indicate that unobserved platform discrepancies reduce mutual understanding in digital exchanges by up to 10-20% for nuanced emojis, as senders and receivers perceive intent differently. From 2018 to 2026, a trend toward greater design convergence emerged among major platforms including Apple, Google, Samsung, Microsoft, Twitter/X, and Meta, with vendors issuing multiple updates to align styles—often toward Apple's designs as a de facto standard—and statistics showing Samsung with seven updates from 2018–2023 and Twemoji with ten updates. Key examples include convergence on syringe (de-bloodied) and medical mask designs, alongside Unicode's resolution of ambiguities such as introducing new emojis for hand-over-mouth expressions. Persistent divergences remain, however, due to commercial influences like WhatsApp's racing car tied to Formula 1 marketing, cultural variants in Huawei and Toss Face implementations, and selective reverts. While this convergence has reduced miscommunication risks, complete uniformity remains elusive owing to commercial and cultural factors. Unsupported emojis trigger font fallbacks, often yielding generic placeholders like black squares (U+25A0) or question marks, particularly on older hardware or non-color-capable displays predating widespread adoption (e.g., pre-iOS 6 in 2012 or Android 4.1 in 2012). Complex sequences—such as zero-width joiner (ZWJ) combinations for families (e.g., U+1F468 U+200D U+1F469 U+200D U+1F466) or skin tone modifiers (U+1F3FB–U+1F3FF)—may decompose into separate glyphs or fail entirely if the font lacks composite support, exposing "glue" characters visibly on incompatible systems. Variation selectors (U+FE0E for text style, U+FE0F for emoji style) allow explicit control, but inconsistent implementation across fonts leads to unintended monochrome outputs in formal contexts like documents. Web browsers exacerbate issues by deferring to the host OS's font stack, yielding erratic cross-device consistency; for instance, flags (U+1F1FA–U+1F1FF pairs) may omit in Microsoft's Windows 10/11 fonts, displaying as base black flags. Developers mitigate via custom assets like Twitter's Twemoji (SVG-based, open-sourced 2014) or image fallbacks, though these increase load times and hinder server-side rendering. Unicode guidelines urge generic core shapes for recognizability, but without enforcement, rendering fidelity remains a persistent technical hurdle as of Unicode 16.0 (September 2024).

Modifiers, Composition, and Variant Selection

Emoji modifiers enable customization of base human figures, primarily for skin tone and, in combination with other mechanisms, gender representation. Skin tone modifiers consist of five Unicode characters (U+1F3FB through U+1F3FF), introduced in Unicode 8.0 in June 2015, which correspond to the Fitzpatrick scale types IV (medium-dark), III (medium), II (fair), V (dark), and VI (very dark), respectively; the default yellow tone represents type I–II or unspecified. These form Emoji Modifier Sequences when appended to compatible base emoji (e.g., 👦 + U+1F3FD yields 👦🏽), rendering as a single glyph on supporting platforms, though fallback to separate characters occurs otherwise. Gender specification typically employs Zero Width Joiner (ZWJ, U+200D) sequences rather than standalone modifiers, pairing a human emoji with ZWJ and either the male sign (♂ U+2642) or female sign (♀ U+2640), as standardized in Unicode 9.0 (June 2016); for instance, 👨‍👩‍👧 represents a family via multiple such joins. Composition of emoji relies on defined sequences to create multi-part glyphs from simpler components, avoiding arbitrary combinations that could lead to inconsistent rendering. ZWJ sequences, formalized in Unicode Technical Standard #51, join emoji elements (e.g., person + ZWJ + technologist yields 👨‍💻), supporting structures like professional roles (added in Unicode 9.0), family groups (up to five adults/children in Unicode 11.0, 2018), and couple variants with hearts (e.g., 👩‍❤️‍👨). Other sequences include keycaps (digit + U+FE0F + U+20E3) for numbered buttons and regional indicator pairs for flags (e.g., U+1F1FA U+1F1F8 for 🇺🇸). Only explicitly recommended sequences in Unicode data files are guaranteed single-glyph display; unsupported joins render as juxtaposed individual emoji, preserving semantic fallback while prioritizing platform-specific font support for complex compositions. Variant selection governs presentation style for characters compatible with both emoji (colorful, pictorial) and text (monochrome, symbolic) rendering, using Variation Selectors 15 (U+FE0E, text style) and 16 (U+FE0F, emoji style), introduced as extensions in Unicode 6.0 (2010) and expanded for emoji in later versions. Without a selector, defaults follow emoji-variation-sequences.txt: most default to emoji style (e.g., ❤️ for U+2764), while others like ™ (U+2122) default to text unless U+FE0F is appended (™️). This mechanism, limited to ~300 specified sequences as of Unicode 17.0 (2024), ensures explicit control in plain text, mitigating ambiguity in cross-platform display where font availability dictates final glyph choice—e.g., absence of color support falls back to text style. Vendors like Apple and Google implement these via font tables, but incomplete support can yield monochrome output even with selectors.

Communicative Functions and Limitations

Semiotic Properties and Contextual Meanings

Emoji operate as multimodal semiotic signs within digital communication, drawing on Charles Sanders Peirce's triadic classification of icons, indices, and symbols. As icons, they resemble their referents through pictorial depiction, such as the 🥑 avocado emoji visually mimicking the fruit's shape and texture. Indices connect to their objects via causal or contextual links, like a 💨 wind face indicating exhalation or urgency in sequence with other signs. Symbols rely on conventional associations, where meanings accrue through repeated social usage rather than inherent resemblance, as seen in the 👍 thumbs-up emoji connoting approval in many Western contexts but potentially disdain in others. In social semiotic frameworks, emoji meanings emerge dynamically from their integration with linguistic text and broader discourse, forming a system of relations that extends verbal signification. Emoji do not possess inherent, stable semantics but negotiate meaning through positioning relative to words—prefixing, suffixing, or embedding—which can amplify, qualify, or substitute textual intent. For instance, a 😂 face with tears emoji paired with "That was hilarious" reinforces literal amusement, whereas isolation or ironic textual framing may signal sarcasm. This relationality underscores emoji as paralinguistic tools that layer connotative depth onto denotative forms, yet their interpretive flexibility introduces polysemy, where a single glyph evokes multiple associations based on user intent and receiver inference. Contextual meanings of emoji exhibit high ambiguity, with empirical assessments revealing substantial variance in interpretation absent surrounding cues. A data-driven analysis of 1,289 emojis found human agreement on context-free meanings ranging from full consensus for 16 unambiguous cases (e.g., 🏠 house as domicile) to near-random disagreement for 55 others, attributable to subjective cultural overlays and evolving slang. Textual context mitigates this by anchoring emoji to specific valences, as incongruent pairings (e.g., positive text with a frowning emoji) heighten negative inferences in readers, per controlled experiments on messaging. User personality traits further modulate perception, with extraverts favoring expressive interpretations over introverts' literal ones, compounding miscommunication risks in cross-demographic exchanges. Cultural and platform-specific conventions exacerbate interpretive disputes, as emoji originally designed for Japanese cellular contexts adapt unevenly globally, leading to divergent connotations like the 🙏 folded hands emoji denoting prayer in some regions but "high five" in others. Studies confirm emoji usage patterns vary by language typology and demographics, with higher-frequency deployment in informal, affective exchanges but persistent ambiguity in formal or cross-lingual settings. Despite standardization efforts, this semiotic fluidity—rooted in emoji's hybrid status between fixed pictograms and emergent lexicon—enables expressive economy while demanding contextual vigilance to avert misalignment.

Augmentation of Textual Language

Emojis augment textual language primarily by supplying visual indicators of emotional tone, intensity, and intent that are absent in plain text, thereby compensating for the limitations of written communication in conveying prosody and non-verbal cues akin to those in spoken language. Research indicates that emojis function as graphic equivalents to prosodic features, such as emphasis or sarcasm, enhancing the expressiveness of messages without altering their lexical content. For instance, empirical analysis shows that when emojis align with sentence valence, they improve perceptions of message clarity and emotional conveyance, while also increasing attributions of sender warmth. Widespread adoption underscores this role, with over 10 billion emojis transmitted daily worldwide to strengthen expressions, adjust tonal nuances, or substitute for descriptive words in digital exchanges. Surveys reveal that 84.2% of individuals incorporate emojis into at least half of their online textual interactions, often to mitigate ambiguity in intent. In professional and personal contexts alike, such supplementation has been linked to heightened message persuasiveness and receiver emotional engagement, as congruent facial emojis facilitate better comprehension of affective states compared to text alone. Beyond emotional layering, emojis enable concise representation of complex ideas or objects, streamlining communication in resource-constrained environments like mobile texting. Studies on health messaging, for example, find that emoji integration simplifies unfamiliar terminology and bolsters content retention by visually anchoring abstract concepts. This augmentation extends to pragmatic functions, where emojis can modify utterance illocution—such as turning a statement into a directive—or perform standalone communicative acts, effectively expanding the semiotic toolkit available in text-based mediums. However, efficacy depends on contextual congruence, as mismatched pairings may introduce unintended interpretations rather than clarify.

Sources of Ambiguity and Miscommunication

Emoji exhibit inherent ambiguity due to subjective and context-dependent interpretations, with studies showing that users often assign varying emotional valences or meanings to the same character. For example, a 2016 analysis of over 300 participants revealed that interpretations of common emoji like the grinning face diverged significantly, with some viewing it as joyful and others as mischievous or sarcastic, increasing miscommunication risks in text-based exchanges. This variability persists even for seemingly straightforward emoji, as evidenced by a 2024 survey where 80% of Americans reported confusion from others' emoji usage, particularly with symbols like the person tipping hand (interpreted as sarcasm, information-sharing, or bribery) and money with wings (wealth escape or financial loss). Rendering discrepancies across platforms compound interpretive challenges, as identical Unicode sequences produce visually distinct outputs on devices like iOS versus Android. Research from 2018 demonstrated that such differences alter perceived sentiment; for instance, an emoji intended as neutral might appear more aggressive on one platform, leading recipients to misjudge intent in cross-platform messaging. These variations stem from proprietary font designs by companies like Apple and Google, which prioritize stylistic consistency within ecosystems but introduce inconsistencies globally, with empirical tests confirming heightened confusion when senders and receivers use mismatched systems. Cultural contexts further amplify miscommunication, as emoji draw from Japanese origins but adapt unevenly worldwide, resulting in divergent associations. The folded hands emoji, for example, commonly denotes prayer or pleading in Western usage but conveys thanks or apology in Japan; similarly, the OK hand gesture signifies approval in the U.S. but carries vulgar connotations in parts of Latin America and the Middle East. An angel emoji may symbolize innocence in some regions but evoke death in others, such as parts of Europe influenced by folklore. Cross-cultural studies confirm these disparities, with East Asian users favoring collectivist-themed emoji more than Western counterparts, while factors like age and gender also modulate comprehension—older adults and certain demographics showing lower alignment on emotional cues. Contextual reliance exacerbates these issues, as emoji alone often fail to convey precise intent without accompanying text, per psycholinguistic analyses showing that isolated emoji yield higher misinterpretation rates than those embedded in sentences. Demographic variations, including personality traits, further influence ambiguity, with extroverted individuals prone to more positive readings of ambiguous faces. Overall, these sources—interpretive subjectivity, technical rendering variances, cultural mappings, and contextual deficits—underscore emoji's limitations as a universal communicative tool, often necessitating verbal clarification to avert errors.

Societal and Cultural Dimensions

Global Usage Patterns and Demographic Variations

Emoji usage exhibits widespread global adoption, with over 10 billion emojis transmitted daily across digital platforms. In 2023, approximately 92% of internet users incorporated emojis into mobile messaging. Platforms like Facebook Messenger alone facilitate over 900 million emoji-only messages per day, underscoring their role in standalone communication. Real-time tracking via Twitter (now X) data reveals the United States as the leading source of emoji volume, followed by the United Kingdom, India, Brazil, and the Philippines, reflecting higher engagement in English-dominant and emerging markets. Patterns vary by region, with the face with tears of joy (😂) dominating as the most frequent emoji in 75 countries based on 2022–2023 Twitter analyses. In Southeast Asia, such as Indonesia and Thailand, the rolling on the floor laughing (🤣) emoji prevails, indicating preferences for exaggerated expressions of humor in high-volume messaging cultures. Eastern countries like Japan and China show elevated overall emoji frequency compared to Western nations, often associating them with contextual topics like food or emotions differently; for instance, East Asians deploy more emojis in negative sentiment expressions. Demographically, younger users drive higher adoption rates, with Generation Z reporting 88% utility in clarifying tone and employing diverse customizations more than older cohorts. Emoji frequency declines with age, as older adults (over 50) exhibit lower occurrence rates in instant messaging. Gender differences persist, with women self-reporting greater emoji usage than men in surveys of instant messaging, potentially linked to expressive communication styles. Machine learning analyses of Twitter data confirm that usage patterns reliably predict user gender and age, with distinct emoji selections correlating to these traits. Cultural and interpretive variations compound demographic trends, as comprehension of specific emojis differs significantly across groups; for example, participants from diverse backgrounds classify the same six basic emojis variably by age, gender, and origin, with cultural factors influencing up to 20–30% of perceptual divergence. Western users often prioritize positive facial emojis for affirmation, while Eastern counterparts integrate them more holistically with textual nuance, leading to cross-cultural mismatches in intent. These patterns stem from localized social norms rather than universal semiotics, as evidenced by region-specific top emojis diverging from global averages.

Influences on Digital Expression and Marketing

Emojis serve as nonverbal cues in digital communication, compensating for the absence of facial expressions and tone, thereby enriching textual expression with emotional nuance. Experimental research involving over 1,000 participants across multiple studies has shown that emojis reliably convey emotionality, with positive emojis eliciting perceptions of senders as warmer and more approachable compared to text alone. Congruent emojis further enhance message comprehension by aligning with verbal content, reducing ambiguity in intent interpretation. In interpersonal digital exchanges, emoji inclusion boosts perceived responsiveness, fostering greater likability and relational closeness; one study found that emoji-enhanced messages led to higher ratings of sender attentiveness than emoji-free equivalents. Neuroimaging and behavioral data indicate that the brain processes emojis similarly to linguistic elements, influencing emotional inference and potentially mitigating negative biases in online discourse. However, overuse or incongruent placement can introduce miscommunication risks, as cultural and contextual variances affect interpretation universality. Within marketing, emojis elevate engagement by drawing visual attention and amplifying emotional resonance in campaigns. Social media posts with emojis garner 25.4% higher engagement on platforms like Twitter (now X) and 57% more likes on Facebook, driven by their ability to evoke quick affective responses. Email subject lines incorporating emojis yield open rate improvements for 50% of tested brands, with data from over 20 million emails showing consistent uplift in click-throughs when emojis align with brand tone. Consumer surveys report that 44% of individuals express greater purchase intent toward products advertised with emojis, attributing this to enhanced memorability and perceived approachability. Brand posts featuring emojis also see 33% more comments and shares, correlating with broader reach in algorithmic feeds. Empirical A/B testing in push notifications across industries like retail demonstrates click-through rate boosts of up to 111%, though effectiveness diminishes with overuse or mismatched cultural contexts.

Integration into Broader Media and Politics

Emojis have penetrated political communication, particularly on social media platforms, where candidates and officials deploy them to simplify messages and foster relatability. In governmental Twitter activity as of 2019, flag emojis frequently accompany announcements on foreign policy to visually denote involved nations, rendering complex international relations more accessible to public audiences. During the 2024 United States presidential contest between Donald Trump and Kamala Harris, emoji selection in supporter posts revealed partisan divides, with Harris backers favoring certain icons over others in online expressions of allegiance. Similarly, in Finland's 2019 parliamentary election, commenters on politicians' Facebook pages used emojis to signal emotional stances, forming affective networks that amplified partisan sentiments. Specific instances highlight emojis' role as shorthand symbols in campaigns and activism. In 2017 anti-Trump protests, tweeted emojis such as the raised fist, red heart, and face with tears of joy dominated discussions, encapsulating resistance and mockery. The peach emoji, initially innocuous, evolved into a political emblem in 2019 when rapper Lizzo invoked it to advocate for Trump's impeachment, demonstrating how symbols can accrue loaded connotations through cultural adoption. That year, Trump's campaign clashed with Twitter over an emoji's rendering in a promotional tweet, underscoring platform dependencies in visual political messaging. Research typologizes such uses into categories like emphasis, irony, and mobilization, though empirical analysis reveals emojis often intensify polarization rather than bridge divides. In diplomacy, emojis serve as a nascent "sign language" for public-facing outreach, with world leaders incorporating them since at least 2016 to convey solidarity or policy visually. Flag emojis, in particular, facilitate quick national signaling in multilateral contexts, as observed in United Nations Human Rights Council negotiations where they denote emotional alignments. However, their ambiguity poses risks; a 2016 analysis noted emojis' inadequacy for precise diplomatic intent, as varying interpretations can exacerbate misunderstandings in high-stakes international exchanges. Debates persist on best practices, with proponents arguing for measured use in public diplomacy to humanize state actors, while critics caution against diluting formal protocols. Broader media integration remains more supplementary, with news outlets embedding emojis in social media headlines and graphics to boost engagement metrics, though traditional print and broadcast rarely incorporate them due to professional norms favoring textual clarity. Flag emojis, for example, enhance online political reporting by visually anchoring stories to specific countries, mirroring their utility in official communications. Overall, while emojis augment digital political and media narratives, their causal influence on discourse outcomes—such as voter mobilization or policy perception—lacks robust longitudinal data, with studies indicating primarily affective rather than substantive effects.

Controversies and Critiques

Debates Over Representation and Diversity

The Unicode Consortium introduced skin tone modifiers in Unicode 8.0 on June 17, 2015, allowing five additional tones based on the Fitzpatrick scale to be applied to certain human emoji figures, shifting from a prior generic yellow-orange default deemed racially neutral but criticized for implying whiteness. This change responded to advocacy highlighting underrepresentation of non-white skin colors, though modifiers apply only to compatible individual characters and not groups or non-human forms, limiting their scope. Gender-neutral and variant options followed, with Unicode 10.0 in 2017 adding profession emojis in male, female, and unspecified forms, such as mechanics and farmers, to address stereotypes in depictions like default male-dominated roles. Surveys indicate broad support for further inclusivity; an Adobe report from April 2021 found 84% of global emoji users across 26 countries desired more culturally distinct representations to better express identity. However, empirical studies on emoji set composition versus world demographics remain scarce, with no comprehensive data showing proportional mismatches, as emoji prioritize functional universality over statistical mirroring of global populations where Asians comprise about 60% but early designs drew from Japanese and Western influences. Critics argue persistent gaps, such as uni-racial family groupings excluding mixed or non-white configurations in some implementations despite individual modifiers, and overemphasis on skin tones while neglecting other traits like hair texture or body types. Academic analyses, often from institutions prone to progressive biases, contend that additions like skin tones reinforce a technocentric, American view of race by centering modifiers around a default, potentially tokenizing diversity without deeper cultural integration. Proposals continue for expansions, including red-haired or bearded variants raised in 2015 campaigns, but Unicode approvals balance utility against proliferation, as excessive variants risk complicating cross-platform rendering via zero-width joiners. Usage patterns reveal demographic influences, with studies showing emoji selection predicts user ethnicity and gender—e.g., certain tones correlate with self-identified race—but defaults persist widely, suggesting practical limitations in modifier adoption over ideological imperatives. Debates thus juxtapose empirical utility, where core emojis suffice for most communication, against representational activism, which has driven incremental changes but faces skepticism for prioritizing visibility metrics absent evidence of communicative harm from defaults. Emojis have increasingly featured in legal proceedings as evidence, with U.S. court cases referencing them rising from 33 in 2017 to 53 in 2018. Courts interpret emojis contextually, treating them as capable of conveying intent, such as acceptance in contracts—a 2023 Saskatchewan ruling held a thumbs-up emoji constituted agreement to a $60,000 grain purchase deal based on prior negotiations and the sender's reliability. Similarly, emojis have evidenced harassment or threats, as in a 2017 Israeli case where eggplant and water droplets symbols implied sexual assault, leading to conviction. Interpretation challenges arise from platform-specific renderings and cultural variances, complicating authentication under evidence rules like hearsay, with fact-finders requiring visual display rather than verbal description. Trademark disputes center on proprietary designs and the term "emoji" itself; Germany's Emoji Company GmbH has pursued over 10,000 infringement claims against Amazon sellers by 2022, leveraging its registered marks to enforce licensing. Platforms mitigate risks by creating stylized variants dissimilar to trademarked originals, as identical depictions could infringe copyrights on artistic elements. Ongoing litigation, such as Emoji Company versus Mattel over smiley-face motifs, underscores how emoji-like symbols in merchandise trigger opposition if deemed confusingly similar. Censorship manifests through platform algorithms and design alterations; Unicode modified the pistol emoji (U+1F52B) from a realistic revolver to a toy water gun in version 11.0 (June 2018), yielding to advocacy from gun-control groups citing symbolic promotion of violence, despite no empirical link to real-world harm. Social media enforces content filters, with Meta blocking "suggestive" emoji combinations like peach and eggplant since 2021 to curb explicit implications. Governments impose selective restrictions: Indonesia threatened website blocks over LGBT-associated emojis in 2016, enforcing moral standards, while Chinese feminists evade keyword censors using symbolic substitutions since at least 2018. Recent platform actions include TikTok suppressing the juice box emoji (🥤) in 2025 contexts alluding to antisemitic tropes, reflecting reactive moderation amid geopolitical sensitivities. U.S. federal courts prohibit emojis in formal filings to maintain decorum, though they appear in submitted evidence.

Cultural Incompatibilities and Interpretive Disputes

Emoji interpretations vary significantly across cultures, leading to incompatibilities where a symbol's intended meaning clashes with local norms and interpretive disputes in cross-cultural exchanges. A 2016 study analyzing emoji sentiment across Chinese, UK, and US respondents found that only 4.5% of symbols elicited low-variance interpretations, with 25% showing disagreement on positive, neutral, or negative connotations, undermining claims of universality. Machine learning analysis of nearly one billion social media posts revealed Eastern cultures (Japan, China) favor object-based emojis for health topics, such as pills or needles, while Western cultures (US, UK, Canada) employ more negative facial expressions, reflecting divergent expressive patterns tied to cultural restraint versus directness. Hand gesture emojis frequently spark disputes due to entrenched cultural associations. The thumbs-up 👍 denotes approval in Western societies but equates to a vulgar insult in Greece and parts of the Middle East. Similarly, the OK hand 👌 signifies agreement or the number nine in American Sign Language in the US, yet represents an obscenity akin to the middle finger in Brazil and worthlessness in France and Tunisia. The folded hands 🙏 symbolize prayer or namaste in Western and Indian contexts but convey "please" or "thank you" as a bow in Japan, potentially misaligning polite intent with religious overtones. Non-gestural symbols exacerbate incompatibilities through symbolic divergences. The angel 😇 evokes innocence in the West but signals death or threat in China, rooted in folklore of white-clad spirits. Clapping hands 👏 praise in Western usage but mimic sexual intercourse sounds ("pah pah pah") in China, risking offense in professional or casual digital interactions. The slightly smiling face 😏 conveys mild happiness in the West yet implies sarcasm or distrust in China, where overt positivity signals insincerity. Such variances contribute to legal and communicative disputes, as courts grapple with context-dependent meanings absent universal standards.

References

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