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Fact-checking is the process of verifying the factual accuracy of questioned reporting and statements. Fact-checking can be conducted before or after the text or content is published or otherwise disseminated. Internal fact-checking is such checking done in-house by the publisher to prevent inaccurate content from being published; when the text is analyzed by a third party, the process is called external fact-checking.[1]

Research suggests that fact-checking can indeed correct perceptions among citizens,[2] as well as discourage politicians from spreading false or misleading claims.[3][4] However, corrections may decay over time or be overwhelmed by cues from elites who promote less accurate claims.[4] Political fact-checking is sometimes criticized as being opinion journalism.[5][6]

History of fact-checking

[edit]

Sensationalist newspapers in the 1850s and later led to a gradual need for a more factual media. Colin Dickey has described the subsequent evolution of fact-checking.[7] Key elements were the establishment of Associated Press in the 1850s (short factual material needed), Ralph Pulitzer of the New York World (his Bureau of Accuracy and Fair Play, 1912), Henry Luce and Time magazine (original working title: Facts), and the famous fact-checking department of The New Yorker. More recently[when?], the mainstream media has come under severe economic threat from online startups.[citation needed] In addition, the rapid spread of misinformation and conspiracy theories via social media is slowly creeping into mainstream media.[citation needed] One solution[according to whom?] is for more media staff to be assigned a fact-checking role, as for example The Washington Post.[citation needed] Independent fact-checking organisations have also become[when?] prominent, such as PolitiFact.[citation needed]

Types of fact-checking

[edit]

Ante hoc fact-checking aims to identify errors so that the text can be corrected before dissemination, or perhaps rejected. Post hoc fact-checking is most often followed by a written report of inaccuracies, sometimes with a visual metric provided by the checking organization (e.g., Pinocchios from The Washington Post Fact Checker, or TRUTH-O-METER ratings from PolitiFact). Several organizations are devoted to post hoc fact-checking: examples include FactCheck.org and PolitiFact in the US, Full Fact in the UK, and Africa Check in several nations within the African continent.

External post hoc fact-checking organizations first arose in the US in the early 2000s,[1] and the concept grew in relevance and spread to various other countries during the 2010s.[8]

Post hoc fact-checking

[edit]

External post hoc fact-checking by independent organizations began in the United States in the early 2000s.[1] In the 2010s, particularly following the 2016 election of Donald Trump as US President, fact-checking gained a rise in popularity and spread to multiple countries mostly in Europe and Latin America. However, the US remains the largest market for fact-checking.[8]

Consistency across fact-checking organizations

[edit]

One 2016 study finds that fact-checkers PolitiFact, FactCheck.org, and The Washington Post's Fact Checker overwhelmingly agree on their evaluations of claims.[9][10] A 2018 paper found little overlap in the statements checked by different fact-checking organizations.[11] This paper compared 1,178 published fact-checks from PolitiFact with 325 fact-checks from The Washington Post's Fact Checker, and found only 77 statements (about 5%) that both organizations checked.[11] For those 77 statements, the fact-checking organizations gave the same ratings for 49 statements and similar ratings for 22, about 92% agreement.[11]

Choice of which statements to check

[edit]

Different fact-checking organizations have shown different tendencies in their choice of which statements they publish fact-checks about.[12] For example, some are more likely to fact-check a statement about climate change being real, and others are more likely to fact-check a statement about climate change being fake.[12]

Effects

[edit]

Studies of post hoc fact-checking have made clear that such efforts often result in changes in the behavior, in general, of both the speaker (making them more careful in their pronouncements) and of the listener or reader (making them more discerning with regard to the factual accuracy of content); observations include the propensities of audiences to be completely unpersuaded by corrections to errors regarding the most divisive subjects, or the tendency to be more greatly persuaded by corrections of negative reporting (e.g., "attack ads"), and to see minds changed only when the individual in error was someone reasonably like-minded to begin with.[13]

Correcting misperceptions

[edit]
See also: Belief § Belief studies

Studies have shown that fact-checking can affect citizens' belief in the accuracy of claims made in political advertisement.[14] A 2020 study by Paris School of Economics and Sciences Po economists found that falsehoods by Marine Le Pen during the 2017 French presidential election campaign (i) successfully persuaded voters, (ii) lost their persuasiveness when fact-checked, and (iii) did not reduce voters' political support for Le Pen when her claims were fact-checked.[15] A 2017 study in the Journal of Politics found that "individuals consistently update political beliefs in the appropriate direction, even on facts that have clear implications for political party reputations, though they do so cautiously and with some bias... Interestingly, those who identify with one of the political parties are no more biased or cautious than pure independents in their learning, conditional on initial beliefs."[16]

A study by Yale University cognitive scientists Gordon Pennycook, Adam Bear, Evan Collins, and David G. Rand found that Facebook tags of fake articles "did significantly reduce their perceived accuracy relative to a control without tags, but only modestly".[17] A Dartmouth study led by Brendan Nyhan found that Facebook tags had a greater impact than the Yale study found.[18][19] A "disputed" tag on a false headline reduced the number of respondents who considered the headline accurate from 29% to 19%, whereas a "rated false" tag pushed the number down to 16%.[18] A 2019 study found that the "disputed" tag reduced Facebook users' intentions to share a fake news story.[20] The Yale study found evidence of a backfire effect among Trump supporters younger than 26 years whereby the presence of both untagged and tagged fake articles made the untagged fake articles appear more accurate.[17] In response to research which questioned the effectiveness of the Facebook "disputed" tags, Facebook decided to drop the tags in December 2017 and would instead put articles which fact-checked a fake news story next to the fake news story link whenever it is shared on Facebook.[21]

Based on the findings of a 2017 study in the journal Psychological Science, the most effective ways to reduce misinformation through corrections is by:[22]

  • limiting detailed descriptions of / or arguments in favor of the misinformation;
  • walking through the reasons why a piece of misinformation is false rather than just labelling it false;
  • presenting new and credible information which allows readers to update their knowledge of events and understand why they developed an inaccurate understanding in the first place;
  • using video, as videos appear to be more effective than text at increasing attention and reducing confusion, making videos more effective at correcting misperception than text.

Large studies by Ethan Porter and Thomas J. Wood found that misinformation propagated by Donald Trump was more difficult to dispel with the same techniques, and generated the following recommendations:[23][24]

  • Highly credible sources are the most effective, especially those which surprisingly report facts against their own perceived bias
  • Reframing the issue by adding context can be more effective than simply labeling it as incorrect or unproven.
  • Challenging readers' identity or worldview reduces effectiveness.
  • Fact-checking immediately is more effective, before false ideas have spread widely.

A 2019 meta-analysis of research into the effects of fact-checking on misinformation found that fact-checking has substantial positive impacts on political beliefs, but that this impact weakened when fact-checkers used "truth scales", refuted only parts of a claim and when they fact-checked campaign-related statements. Individuals' preexisting beliefs, ideology, and knowledge affected to what extent the fact-checking had an impact.[25] A 2019 study in the Journal of Experimental Political Science found "strong evidence that citizens are willing to accept corrections to fake news, regardless of their ideology and the content of the fake stories."[26]

A 2018 study found that Republicans were more likely to correct their false information on voter fraud if the correction came from Breitbart News rather than a non-partisan neutral source such as PolitiFact.[27] A 2022 study found that individuals exposed to a fact-check of a false statement by a far-right politician were less likely to share the false statement.[28]

Some studies have found that exposure to fact-checks had durable effects on reducing misperceptions,[29][30][31] whereas other studies have found no effects.[32][33]

Scholars have debated whether fact-checking could lead to a "backfire effect" whereby correcting false information may make partisan individuals cling more strongly to their views. One study found evidence of such a "backfire effect",[34] but several other studies did not.[35][36][37][38][39]

Political discourse

[edit]

A 2015 experimental study found that fact-checking can encourage politicians to not spread misinformation. The study found that it might help improve political discourse by increasing the reputational costs or risks of spreading misinformation for political elites. The researchers sent, "a series of letters about the risks to their reputation and electoral security if they were caught making questionable statements. The legislators who were sent these letters were substantially less likely to receive a negative fact-checking rating or to have their accuracy questioned publicly, suggesting that fact-checking can reduce inaccuracy when it poses a salient threat."[3]

Fact-checking may also encourage some politicians to engage in "strategic ambiguity" in their statements, which "may impede the fact-checking movement's goals."[11]

Political preferences

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One experimental study found that fact-checking during debates affected viewers' assessment of the candidates' debate performance and "greater willingness to vote for a candidate when the fact-check indicates that the candidate is being honest."[40]

A study of Trump supporters during the 2016 presidential campaign found that while fact-checks of false claims made by Trump reduced his supporters' belief in the false claims in question, the corrections did not alter their attitudes towards Trump.[41]

A 2019 study found that "summary fact-checking", where the fact-checker summarizes how many false statements a politician has made, has a greater impact on reducing support for a politician than fact-checking of individual statements made by the politician.[42]

Informal fact-checking

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Individual readers perform some types of fact-checking, such as comparing claims in one news story against claims in another.

Rabbi Moshe Benovitz, has observed that: "modern students use their wireless worlds to augment skepticism and to reject dogma." He says this has positive implications for values development:

Fact-checking can become a learned skill, and technology can be harnessed in a way that makes it second nature... By finding opportunities to integrate technology into learning, students will automatically sense the beautiful blending of… their cyber… [and non-virtual worlds]. Instead of two spheres coexisting uneasily and warily orbiting one another, there is a valuable experience of synthesis....[43]

According to Queen's University Belfast researcher Jennifer Rose, because fake news is created with the intention of misleading readers, online news consumers who attempt to fact-check the articles they read may incorrectly conclude that a fake news article is legitimate. Rose states, "A diligent online news consumer is likely at a pervasive risk of inferring truth from false premises" and suggests that fact-checking alone is not enough to reduce fake news consumption. Despite this, Rose asserts that fact-checking "ought to remain on educational agendas to help combat fake news".[44]

Detecting fake news

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Main article: Fake news

The term fake news became popularized with the 2016 United States presidential election, causing concern among some that online media platforms were especially susceptible to disseminating disinformation and misinformation.[8] Fake news articles tend to come from either satirical news websites or from websites with an incentive to propagate false information, either as clickbait or to serve a purpose.[45] The language, specifically, is typically more inflammatory in fake news than real articles, in part because the purpose is to confuse and generate clicks. Furthermore, modeling techniques such as n-gram encodings and bag of words have served as other linguistic techniques to estimate the legitimacy of a news source. On top of that, researchers have determined that visual-based cues also play a factor in categorizing an article, specifically some features can be designed to assess if a picture was legitimate and provides us more clarity on the news.[46] There is also many social context features that can play a role, as well as the model of spreading the news. Websites such as "Snopes" try to detect this information manually, while certain universities are trying to build mathematical models to assist in this work.[45]

For a more comprehensive list, see List of fact-checking websites.
Main category: Fact-checking websites

Some individuals and organizations publish their fact-checking efforts on the internet. These may have a special subject-matter focus, such as Snopes.com's focus on urban legends or the Reporters' Lab at Duke University's focus on providing resources to journalists.

Fake news and social media

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See also: Social media § Trustworthiness and reliability

The adaptation of social media as a legitimate and commonly used platform has created extensive concerns for fake news in this domain. The spread of fake news via social media platforms such as Facebook, Twitter and Instagram presents the opportunity for extremely negative effects on society therefore new fields of research regarding fake news detection on social media is gaining momentum. However, fake news detection on social media presents challenges that renders previous data mining and detection techniques inadequate.[47] As such, researchers are calling for more work to be done regarding fake news as characterized against psychology and social theories and adapting existing data mining algorithms to apply to social media networks.[47] Further, multiple scientific articles have been published urging the field further to find automatic ways in which fake news can be filtered out of social media timelines.

Methodology

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See also: Open-source intelligence and Media literacy

Lateral reading, or getting a brief overview of a topic from lots of sources instead of digging deeply into one, is a popular method professional fact-checkers use to quickly get a better sense of the truth of a particular claim.[48]

Digital tools and services commonly used by fact-checkers include, but are not limited to:

Ongoing research in fact-checking and detecting fake news

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See also: Misinformation § Countermeasures, and Argument technology

Since the 2016 United States presidential election, fake news has been a popular topic of discussion by President Trump and news outlets. The reality of fake news had become omnipresent, and a lot of research has gone into understanding, identifying, and combating fake news. Also, a number of researchers began with the usage of fake news to influence the 2016 presidential campaign. One research found evidence of pro-Trump fake news being selectively targeted on conservatives and pro-Trump supporters in 2016.[73] The researchers found that social media sites, Facebook in particular, to be powerful platforms to spread certain fake news to targeted groups to appeal to their sentiments during the 2016 presidential race. Additionally, researchers from Stanford, NYU, and NBER found evidence to show how engagement with fake news on Facebook and Twitter was high throughout 2016.[74]

Recently, a lot of work has gone into helping detect and identify fake news through machine learning and artificial intelligence.[75][76][77] In 2018, researchers at MIT's CSAIL created and tested a machine learning algorithm to identify false information by looking for common patterns, words, and symbols that typically appear in fake news.[78] More so, they released an open-source data set with a large catalog of historical news sources with their veracity scores to encourage other researchers to explore and develop new methods and technologies for detecting fake news.[citation needed]

In 2022, researchers have also demonstrated the feasibility of falsity scores for popular and official figures by developing such for over 800 contemporary elites on Twitter as well as associated exposure scores.[79][80]

There are also demonstrations of platform-built-in (by-design) as well browser-integrated (currently in the form of addons) misinformation mitigation.[81][82][83][84] Efforts such as providing and viewing structured accuracy assessments on posts "are not currently supported by the platforms".[81] Trust in the default or, in decentralized designs, user-selected providers of assessments[81] (and their reliability) as well as the large quantities of posts and articles are two of the problems such approaches may face. Moreover, they cannot mitigate misinformation in chats, print-media and TV.

International Fact-Checking Day

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The concept for International Fact-Checking Day was introduced at a conference for journalists and fact-checkers at the London School of Economics and Political Science in June 2014.[85] The holiday was officially created in 2016 and first celebrated on April 2, 2017.[86] The idea for International Fact-Checking day rose out of the many misinformation campaigns found on the internet, particularly social media sites. It rose in importance after the 2016 elections, which brought fake news, as well as accusations of it, to the forefront of media issues. The holiday is held on April 2 because "April 1 is a day for fools. April 2 is a day for facts."[87] Activities for International Fact-Checking Day consist of various media organizations contributing to fact-checking resources, articles, and lessons for students and the general public to learn more about how to identify fake news and stop the spread of misinformation. 2020's International Fact-Checking Day focused specifically on how to accurately identify information about COVID-19.

Limitations and controversies

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Research has shown that fact-checking has limits, and can even backfire,[88] which is when a correction increases the belief in the misconception.[89] One reason is that it can be interpreted as an argument from authority, leading to resistance and hardening beliefs, "because identity and cultural positions cannot be disproved."[90] In other words "while news articles can be fact-checked, personal beliefs cannot."[91]

Critics argue that political fact-checking is increasingly used as opinion journalism.[92][5][6] Criticism has included that fact-checking organizations in themselves are biased or that it is impossible to apply absolute terms such as "true" or "false" to inherently debatable claims.[93] In September 2016, a Rasmussen Reports national telephone and online survey found that "just 29% of all Likely U.S. Voters trust media fact-checking of candidates' comments. Sixty-two percent (62%) believe instead that news organizations skew the facts to help candidates they support."[94][95]

A paper by Andrew Guess (of Princeton University), Brendan Nyhan (Dartmouth College) and Jason Reifler (University of Exeter) found that consumers of fake news tended to have less favorable views of fact-checking, in particular Trump supporters.[96] The paper found that fake news consumers rarely encountered fact-checks: "only about half of the Americans who visited a fake news website during the study period also saw any fact-check from one of the dedicated fact-checking website (14.0%)."[96]

Deceptive websites that pose as fact-checkers have also been used to promote disinformation; this tactic has been used by both Russia and Turkey.[97]

During the COVID-19 pandemic, Facebook announced it would "remove false or debunked claims about the novel coronavirus which created a global pandemic",[98] based on its fact-checking partners, collectively known as the International Fact-Checking Network.[99] In 2021, Facebook reversed its ban on posts speculating the COVID-19 disease originated from Chinese labs,[100][101] following developments in the investigations into the origin of COVID-19, including claims by the Biden administration, and a letter by eighteen scientists in the journal Science, saying a new investigation is needed because 'theories of accidental release from a lab and zoonotic spillover both remain viable."[102][103] The policy led to an article by The New York Post that suggested a lab leak would be plausible to be initially labeled as "false information" on the platform.[104][99][105][106] This reignited debates into the notion of scientific consensus. In an article published by the medical journal The BMJ, journalist Laurie Clarke said "The contentious nature of these decisions is partly down to how social media platforms define the slippery concepts of misinformation versus disinformation. This decision relies on the idea of a scientific consensus. But some scientists say that this smothers heterogeneous opinions, problematically reinforcing a misconception that science is a monolith." David Spiegelhalter, the Winton Professor of the Public Understanding of Risk at Cambridge University, argued that "behind closed doors, scientists spend the whole time arguing and deeply disagreeing on some fairly fundamental things". Clarke further argued that "The binary idea that scientific assertions are either correct or incorrect has fed into the divisiveness that has characterised the pandemic."[99]

Several commentators have noted limitations of political post-hoc fact-checking. While interviewing Andrew Hart in 2019 about political fact-checking in the United States, Nima Shirazi and Adam Johnson discuss what they perceive as an unspoken conservative bias framed as neutrality in certain fact-checks, citing argument from authority, "hyper-literal ... scolding [of] people on the left who criticized the assumptions of American imperialism", rebuttals that may not be factual themselves, issues of general media bias, and "the near ubiquitous refusal to identify patterns, trends, and ... intent in politicians' ... false statements". They further argue that political fact-checking focuses exclusively on describing facts over making moral judgments (ex., the is–ought problem), assert that it relies on public reason to attempt to discredit public figures, and question its effectiveness on conspiracy theories or fascism.[107]

Likewise, writing in The Hedgehog Review in 2023, Jonathan D. Teubner and Paul W. Gleason assert that fact-checking is ineffective against propaganda for at least three reasons: "First, since much of what skillful propagandists say will be true on a literal level, the fact-checker will be unable to refute them. Second, no matter how well-intentioned or convincing, the fact-check will also spread the initial claims further. Third, even if the fact-checker manages to catch a few inaccuracies, the larger picture and suggestion will remain in place, and it is this suggestion that moves minds and hearts, and eventually actions." They also note the very large amount of false information that regularly spreads around the world, overwhelming the hundreds of fact-checking groups; caution that a fact-checker systemically addressing propaganda potentially compromises their objectivity; and argue that even descriptive statements are subjective, leading to conflicting points of view. As a potential step to a solution, the authors suggest the need of a "scientific community" to establish falsifiable theories, "which in turn makes sense of the facts", noting the difficulty that this step would face in the digital media landscape of the Internet.[108]

Social media platforms – Facebook in particular – have been accused by journalists and academics of undermining fact-checkers by providing them with little assistance;[97][109] including "propagandist-linked organizations"[97] such as CheckYourFact as partners;[97][110] promoting outlets that have shared false information such as Breitbart and The Daily Caller on Facebook's newsfeed;[97][111] and removing a fact-check about a false anti-abortion claim after receiving pressure from Republican senators.[97][112] In 2022 and 2023, many social media platforms such as Meta, YouTube and Twitter have significantly reduced resources in Trust and safety, including fact-checking.[113][114] Twitter under Elon Musk has severely limited access by academic researchers to Twitter's API by replacing previously free access with a subscription that starts at $42,000 per month, and by denying requests for access under the Digital Services Act.[115] After the 2023 Reddit API changes, journalists, researchers and former Reddit moderators have expressed concerns about the spread of harmful misinformation, a relative lack of subject matter expertise from replacement mods, a vetting process of replacement mods seen as haphazard, a loss of third party tools often used for content moderation, and the difficulty for academic researchers to access Reddit data.[116][117] Many fact-checkers rely heavily on social media platform partnerships for funding, technology and distributing their fact-checks.[118][119]

Commentators have also shared concerns about the use of false equivalence as an argument in political fact-checking, citing examples from The Washington Post, The New York Times and The Associated Press where "mainstream fact-checkers appear to have attempted to manufacture false claims from progressive politicians...[out of] a desire to appear objective".[97]

The term "fact-check" is also appropriated and overused by "partisan sites", which may lead people to "disregard fact-checking as a meaningless, motivated exercise if all content is claimed to be fact-checked".[97]

Fact-checking journalists have been harassed online and offline, ranging from hate mail and death threats to police intimidation and lawfare.[120][121][122][123]

Fact-checking in countries with limited freedom of speech

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Operators of some fact-checking websites in China admit to self-censorship.[124] Fact-checking websites in China often avoid commenting on political, economic, and other current affairs.[125] Several Chinese fact-checking websites have been criticized for lack of transparency with regard to their methodology and sources, and for following Chinese propaganda.[126]

Pre-publication fact-checking

[edit]

Among the benefits of printing only checked copy is that it averts serious, sometimes costly, problems. These problems can include lawsuits for mistakes that damage people or businesses, but even small mistakes can cause a loss of reputation for the publication. The loss of reputation is often the more significant motivating factor for journalists.[127]

Fact-checkers verify that the names, dates, and facts in an article or book are correct.[127] For example, they may contact a person who is quoted in a proposed news article and ask the person whether this quotation is correct, or how to spell the person's name. Fact-checkers are primarily useful in catching accidental mistakes; they are not guaranteed safeguards against those who wish to commit journalistic frauds.

As a career

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Professional fact-checkers have generally been hired by newspapers, magazines, and book publishers, probably starting in the early 1920s with the creation of Time magazine in the United States,[1][127] though they were not originally called "fact-checkers".[128] Fact-checkers may be aspiring writers, future editors, or freelancers engaged other projects; others are career professionals.[127]

Historically, the field was considered women's work, and from the time of the first professional American fact-checker through at least the 1970s, the fact-checkers at a media company might be entirely female or primarily so.[127]

The number of people employed in fact-checking varies by publication. Some organizations have substantial fact-checking departments. For example, The New Yorker magazine had 16 fact-checkers in 2003[127] and the fact-checking department of the German weekly magazine Der Spiegel counted 70 staff in 2017.[129] Others may hire freelancers per piece or may combine fact-checking with other duties. Magazines are more likely to use fact-checkers than newspapers.[1] Television and radio programs rarely employ dedicated fact-checkers, and instead expect others, including senior staff, to engage in fact-checking in addition to their other duties.[127]

Checking original reportage

[edit]

Stephen Glass began his journalism career as a fact-checker. He went on to invent fictitious stories, which he submitted as reportage, and which fact-checkers at The New Republic (and other weeklies for which he worked) never flagged. Michael Kelly, who edited some of Glass's concocted stories, blamed himself, rather than the fact-checkers, saying: "Any fact-checking system is built on trust ... If a reporter is willing to fake notes, it defeats the system. Anyway, the real vetting system is not fact-checking but the editor."[citation needed]

Alumni of the role

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The following is a list of individuals for whom it has been reported, reliably, that they have played such a fact-checking role at some point in their careers, often as a stepping point to other journalistic endeavors, or to an independent writing career:

See also

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References

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Further reading

[edit]
[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia

Fact-checking

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from Grokipedia
Fact-checking systematically verifies claims, statements, or published information against empirical evidence, primary sources, and established records to assess accuracy, often categorizing them as true, false, misleading, or lacking context.[1][2] It originated in journalistic pre-publication verification but has evolved into a specialized field with independent organizations, post-publication scrutiny, and diverse methodologies to address digital misinformation.[3] These efforts aim to correct misperceptions and shape public discourse. Empirical studies show modest short-term reductions in false beliefs, but long-term effectiveness is constrained by persistent biases, backfire effects, and difficulties in shifting entrenched views. The practice draws criticism for ideological bias, methodological inconsistencies, and risks to free speech, even as AI advancements and platform integrations grapple with declining activity and shifting global policies.

Overview and Principles

Definition and Scope

Fact-checking (Polish: weryfikacja faktów or sprawdzanie faktów) systematically verifies the factual accuracy of claims, statements, or information in journalism, public discourse, speeches, or digital media by cross-referencing against primary evidence, official records, expert testimony, or empirical data. In Polish, it is defined as a process of meticulously checking and verifying the truthfulness of information against credible sources to confirm or refute its alignment with facts, most commonly applied to statements by politicians, media, or online content.[4][1] It distinguishes verifiable assertions—such as statistics, historical events, or scientific observations—from unsubstantiated opinions or judgments, identifying inaccuracies, misleading presentations, or fabrications without endorsing normative views.[3][5] Its scope includes pre-publication verification, where editors or dedicated checkers review content to prevent errors, and post-publication scrutiny of circulated material, especially viral claims in social media or political rhetoric.[6][7] Fact-checking applies to politics, science, economics, and current events but limits itself to objectively testable propositions; subjective areas like policy preferences or aesthetics lie outside it.[8] Professionals typically rate claims as "true," "mostly true," "mixed," "mostly false," or "false," with sourced contextual explanations.[9] Standards from networks like the International Fact-Checking Network (IFCN) stress nonpartisanship, methodological transparency, original sources, clear corrections policies, and funding disclosure to address conflicts of interest.[10][11] Studies of major outlets, however, highlight inconsistencies and neutrality debates, including selective scrutiny—sometimes targeting conservatives disproportionately—and variations linked to prominence rather than partisanship, amid journalistic ideological homogeneity concerns.[12][13][14] Thus, effective fact-checking demands procedural adherence plus skepticism toward institutions, prioritizing raw data and replicable reasoning over consensus.[9]

Core Principles of Truth-Seeking Fact-Checking

Truth-seeking fact-checking prioritizes verification based on observable evidence and logical causality, rejecting deference to authoritative consensus or narratives influenced by institutional biases. Evaluators favor primary sources like raw data, official records, and reproducible experiments over secondary interpretations from skewed outlets. For example, policy outcome claims require testing against quantifiable metrics, such as economic indicators or crime statistics from government databases, rather than anecdotes or expert opinions alone. Rigorous source credibility assessment accounts for incentives and distortions. Mainstream media and academic institutions often show left-leaning biases, as shown in content analyses of citation patterns. A 2005 study by Groseclose and Milyo compared news outlet citations of think tanks to congressional patterns, scoring most outlets left of center.[15] Fact-checkers must cross-verify with diverse, balanced sources, scrutinizing funding and alignments to counter motivated reasoning and selective emphasis.[16] Independence from external pressures ensures verdicts stem only from evidence, free of policy advocacy or partisanship. Adherents to codes like the International Fact-Checking Network's principles avoid advocacy and maintain nonpartisan staffing.[17] Methodology transparency—revealing sources, steps, and conflicts—enables scrutiny and replication. Thoroughness involves multiple corroborations, full-context evaluation to prevent cherry-picking, and consistent standards, despite noted inconsistencies in outlets like PolitiFact and Snopes.[12] Truth-seeking embraces falsifiability and revision: claims as testable hypotheses, updated with new disconfirming evidence, to combat biases like confirmation bias in entrenched practices.[18] Unlike narrative-driven approaches, it advances causal realism by linking effects to mechanisms, not mere correlations—yet faces resistance from institutional conformity favoring consensus over contrarian truths.

Standards and Methodologies

Fact-checking standards stress non-partisanship, transparency, and uniform verification criteria across claims, as outlined in the International Fact-Checking Network's (IFCN) Code of Principles. Signatories must apply consistent methodologies regardless of political actors and disclose sources and evidence.[10] These standards require open corrections for errors and separation of opinion from fact to foster public trust via verifiable processes.[17] Adherence varies, however; a 2023 analysis of outlets like PolitiFact and Snopes identified selective claim selection, shown by minimal overlap in checked claims.[12] Methodologies typically involve identifying claims, sourcing primary evidence like official records or data sets, cross-verifying with at least two independent secondary sources if needed, and assessing context to differentiate misrepresentation from falsehoods.[19] Journalistic practices include checking numerical claims against raw data, authenticating visuals through reverse image searches or metadata, and verifying quotes from originals.[20] Triangulation of evidence from diverse sources resolves ambiguities, especially in statistics or policy effects, by tracing causal chains empirically.[9] Social media event claims require direct content analysis for elements like geolocation or timestamps, cross-referencing with reliable outlets (e.g., Reuters, AP, or local sources like NHK), tracing platform diffusion to origins, and evaluating poster history and biases alongside past events.[21] Biases pose challenges; studies show fact-checkers' beliefs can affect prioritization or ratings, with "unexpected biases" in online checks including uncertainty aversion and disconfirmation resistance.[22] Evaluations of PolitiFact and The Washington Post reveal strong agreement on true/false verdicts (one mismatch in 64 overlaps), though scaling differs.[13] Mitigation includes blind reviews or algorithms, despite ties to left-leaning academia and media; diverse panels help maintain neutrality.[23][18]

Historical Development

Origins in Print Journalism

Fact-checking in print journalism arose in response to 19th-century newspapers' sensationalism, which eroded public trust through exaggerated or fabricated stories and spurred demands for accuracy.[24] Early 20th-century institutional efforts included the New York World's Bureau of Accuracy and Fair Play, founded in 1913 by Ralph Pulitzer to systematically scrutinize claims and correct errors. Formal fact-checking departments emerged as distinct roles in U.S. newsmagazines during the 1920s, aligning with the rise of reporting objectivity.[25] Time magazine launched structured pre-publication fact-checking in 1923, soon after its founding, by hiring researchers—often young women—to verify article details before printing. This reflected founder Henry Luce's priority of factual precision over narrative style.[26][27] Unlike earlier informal editor reviews, it positioned fact-checkers as specialists who cross-referenced sources, dates, names, and quotes against primary documents or experts.[28] Time's approach set a precedent, empowering checkers to contest discrepancies and helping magazines distinguish themselves from tabloids.[26] The New Yorker, founded in 1925, formalized its rigorous fact-checking department by 1927 under editor Harold Ross, emphasizing exhaustive verification to sustain its reputation for sophistication and reliability.[26][29] Entry-level checkers, mostly women, trained to challenge every assertion, contacted sources directly, and maintained verified files—a method that shaped later publications.[30][25] These departments promoted internal accountability to prevent errors preemptively, though thoroughness occasionally delayed issues and clashed with authors defending their writing.[28] By the 1930s, fact-checking defined prestige magazines, with Luce's Fortune adopting comparable protocols amid intensifying media competition and public calls for trustworthy reporting.[27] This period's methods formed the basis for modern verification, favoring source credibility and direct corroboration over secondary accounts, even as editorial biases lingered.[25]

Emergence of Political Fact-Checking

Political fact-checking, distinct from routine journalistic verification of basic details, emerged in the U.S. during the 1980s amid election coverage challenged by sophisticated negative advertising tactics.[26] By the early 1990s, Washington Post columnist David S. Broder pushed for scrutinizing politicians' claims, decrying the press's passivity in the 1988 campaign and calling for probes into ad veracity to ensure accountability.[31][32] Cable news and fragmented media amplified unverified statements, fostering post-publication analysis, though dedicated efforts stayed sporadic until the internet sped information spread and rebuttal.[33] Organized political fact-checking took off in the early 2000s, fueled by demands for transparency in U.S. elections. FactCheck.org, launched in December 2003 by ex-CNN reporter Brooks Jackson at the Annenberg Public Policy Center of the University of Pennsylvania, pioneered nonpartisan monitoring of claims in ads, debates, speeches, and interviews by key figures. It aimed to curb deception in politics, especially during 2004. Momentum built toward 2008. In 2007, the Tampa Bay Times (formerly St. Petersburg Times) debuted PolitiFact, using its Truth-O-Meter to rate statements from True to Pants on Fire.[34] That September, The Washington Post started its Fact Checker column under Glenn Kessler, who had tested similar work at Newsday in 1996, focusing on primary candidates.[35] These efforts formalized post-hoc checks against the 24-hour news cycle and online silos bypassing traditional filters.[36] Internationally, the UK's Channel 4 News blog began evaluating claims in 2005, spurring adoption in Europe and elsewhere.[37] Digital tools accelerated misinformation yet enabled verification, though early groups within mainstream media risked biases in sourcing and framing.[33]

Digital Expansion and Institutionalization

Online fact-checking emerged in the mid-1990s with Snopes.com's 1994 launch, targeting urban legends and chain emails on early internet forums and email.[26] This shifted verification from print to digital platforms for real-time responses to viral misinformation. FactCheck.org launched in December 2003 under the Annenberg Public Policy Center, founded by Brooks Jackson and Kathleen Hall Jamieson to scrutinize political ads ahead of the 2004 U.S. presidential election.[38] PolitiFact, starting in 2007 via the Tampa Bay Times, added its Truth-O-Meter scale from "True" to "Pants on Fire" for visual claim assessments.[39] The 2010s accelerated growth amid social media's amplification of falsehoods in events like the 2012 U.S. election and 2016 Brexit referendum. Over 90% of European fact-checkers launched post-2010, with about 50 in the two years before 2015, countering algorithms that favored sensationalism.[37] In the U.S., FactCheck.org expanded ad monitoring in 2009, while the Washington Post's Fact Checker column, begun in 2007 by Michael Dobbs, standardized post-publication reviews.[40][33] Searchable archives and hyperlinks enabled instant sourcing from primary documents, though scalability challenges arose with rising online volume. Institutionalization progressed via the International Fact-Checking Network (IFCN), formed in 2015 by the Poynter Institute. Its Code of Principles standardized non-partisanship, transparent sourcing, and corrections, verifying over 100 organizations.[39] Platform partnerships solidified this: Facebook's 2016 program with U.S. checkers like FactCheck.org, PolitiFact, Snopes, and the Associated Press demoted flagged fake news, cutting exposure by up to 80% for users.[41] Meta ended the program in early 2025, prioritizing free speech and disrupting grant-dependent funding.[42] These steps professionalized fact-checking within journalism but revealed tensions with platform policies.

Types and Practices

Pre-Publication Verification

Pre-publication verification is the internal journalistic practice of checking factual claims in a newsroom before release, unlike external or post-dissemination scrutiny.[25] It emerged in U.S. newsmagazines during the 1920s and 1930s with objectivity norms, relying on systematic routines, dedicated roles, or editorial oversight to ensure accuracy.[25] The process verifies proper names, dates, locations, descriptions, statistics, quotes, and measurements using primary sources like public records, databases, and experts.[43] Newsrooms adapt models to format and deadlines. The "magazine model," used for in-depth or investigative work, employs independent fact-checkers to reverify claims by revisiting sources, conducting fresh interviews, and producing annotated drafts or evidence-linked spreadsheets.[27] [44] Outlets like The New Yorker have dedicated departments; smaller publications or newspapers follow the "newspaper model," with reporters self-verifying and editors spot-checking key details.[44] Hybrids merge these for complex, urgent stories. Verified drafts then face legal review for libel risks and copy editing for consistency.[44] Best practices stress rigor. Reporters organize materials in shared drives, footnote facts to originals, and archive transient online content with tools like the Wayback Machine.[44] Fact-checkers evaluate not just literal accuracy but skeptic-resistant evidence, flagging counters or corrections—particularly for statistics, superlatives, or accusations.[44] Self-checks require double-verifying memory-reliant details to curb recall errors.[44] Limitations stem from resource limits and pressures. Budget cuts have eliminated full-time fact-checker roles, overloading reporters in understaffed newsrooms, especially local ones without policies.[44] [25] Rapid digital cycles undermine depth amid global economic strains.[25] The newspaper model's dependence on individual effort raises inconsistency risks, and confirmation bias—worsened by uniform newsroom ideologies—can slacken checks on narrative-fitting claims.[27] Such factors yield occasional lapses, evident in prominent errors needing later corrections, affirming verification's merits alongside its human and structural frailties.[45]

Post-Publication Scrutiny

Post-publication scrutiny verifies claims after public release, correcting inaccuracies via corrections, retractions, or debunkings. It addresses errors missed by pre-publication checks, triggered by complaints, rival analyses, or new evidence. In journalism, this includes editorial updates; in political discourse, organizations evaluate official statements.[46] Major outlets like The New York Times mandate swift corrections for detected errors to ensure fairness, despite internal fact disputes. Retractions address severe issues like fabricated data or ethical lapses, preserving originals with notices for transparency. 2018 examples fixed misreported statistics, quotes, dates, or numbers, resolving oversights without altering core narratives.[47][48][49] Independent checkers like PolitiFact, Snopes, and Logically rate claims using truth scales and sources. A 2023 analysis showed inconsistent selection and ratings, with greater focus on right-leaning claims, indicating partisan media imbalances. Progressive affiliations foster selective narratives, eroding neutrality.[12] Studies reveal mixed effectiveness: Social media checks slightly curb misinformation sharing and aid recall but rarely shift attitudes or views. "Alternative facts" endure despite debunkings; backfire reinforces priors. One experiment boosted specific knowledge but not voting intentions, limiting behavioral impact.[50][51][52] Checkers encounter confirmation biases toward ideologies and platform algorithms that alter scrutiny visibility. Diverse sourcing and transparency help, but left-leaning network tilts persist, urging balanced representation for credibility. Legal and reputational pressures prompt retractions after challenges, though fault admission fears cause delays.[22][53][54]

Crowdsourced and Informal Approaches

Crowdsourced fact-checking uses collective user inputs on digital platforms to verify claims, via voting, editing, or annotation to build consensus. X's Community Notes, launched in 2021, allows eligible users to add contextual notes to posts, with visibility based on algorithmic assessment of agreement from diverse contributors to reduce bias. Studies show these systems match professional accuracy when balanced participation is incentivized; a 2021 MIT experiment found lay crowds detecting false news at 0.78 accuracy, near experts' 0.82.[55] Yet, unrepresentative groups can spread errors, requiring diversity safeguards.[56] A 2024 study in Information Processing & Management showed crowdsourcing debunks misinformation effectively at scale, cutting false beliefs by up to 20% in tests, though gains fade without evidence standards.[57] Real-time trials in 2021 demonstrated crowds verifying claims in minutes via tasks, surpassing individuals but trailing algorithms in speed.[58] Users trust professional labels more, with surveys indicating 45% confidence in peer corrections versus 70% for institutions, due to expertise variance.[59] Crowds provide broad coverage through distributed knowledge but risk echo chambers without moderation, as early pilots revealed partisan clustering.[60] Informal approaches involve unstructured verifications by individuals or communities, like social media threads, blogs, or forums citing sources to counter claims. Similar to citizen journalism, these thrive on Reddit and YouTube, where comments or videos analyze content using primary sources. A 2023 analysis found such debunkings boost media literacy by exemplifying scrutiny, linking exposure to 15% greater skepticism of unverified claims.[52] Reliability fluctuates without oversight, often mixing opinions with selective evidence; viral corrections sometimes fail expert review.[61] Informal methods enable quick responses to niche claims missed by professionals but invite disinformation via poor verification. 2024 studies on social media dynamics show diverse cross-checking improves accuracy, while homogeneous groups bias results—left-leaning forums dismissed conservative facts 25% more.[62] Backfire effects arise, with 10-20% of audiences entrenching beliefs if debunkings seem partisan.[63] These complement formal methods by broadening verification, yet their discourse impact depends on evidence quality over participation volume.[64]

Major Organizations and Networks

Prominent Domestic Outlets

PolitiFact, founded in 2007 by the Tampa Bay Times to scrutinize 2008 U.S. presidential claims, rates statements on its Truth-O-Meter from "True" to "Pants on Fire," drawing on primary sources, experts, and context.[34] Acquired by the nonprofit Poynter Institute in 2018, it maintains editorial independence through memberships, foundations, and disclosed donations over $1,000, while barring funds from political parties, candidates, or advocacy groups. It earned a 2009 Pulitzer Prize for National Reporting on the 2008 election. FactCheck.org, launched in December 2003 by Brooks Jackson at the University of Pennsylvania's Annenberg Public Policy Center, nonpartisanly monitors U.S. political claims in ads, debates, speeches, and releases, applying journalism and academic standards. Initially funded by the Annenberg Foundation and later by donations, it avoids corporate or partisan sources; for example, a 2012 quarter included $168,203 from Annenberg plus individual contributions. It provides detailed evidence annotations without numerical ratings and debunks hundreds of viral claims annually.[65] The Washington Post's Fact Checker, established in 2011 under Glenn Kessler, rates U.S. political statements with 1-4 "Pinocchios" based on official records, data, and eyewitness accounts.[66] Integrated into the politics section, it claims nonpartisan rigor but earns a left-center bias rating from AllSides due to patterns in story selection and framing that disproportionately target conservatives, per data analyses. By 2023, it had issued over 10,000 fact checks.[67] Other outlets include Snopes, started in 1994 on urban legends and hoaxes before expanding to politics, and the Associated Press Fact Check unit, which uses global reporting for rapid U.S. claim assessments via on-the-ground verification.[68] While asserting neutrality, these face bias scrutiny: PolitiFact is rated left-leaning by AllSides for disparities in fact-check volumes against right- versus left-leaning politicians, as shown in studies of thousands of ratings; FactCheck.org rates as center but shares critiques for selective emphasis amid journalism's institutional leanings.[67][12]

International Fact-Checking Initiatives

The International Fact-Checking Network (IFCN), launched in 2015 by the Poynter Institute, coordinates over 100 global fact-checking organizations. It fosters collaboration through advocacy, training, and events like annual Global Fact conferences and International Fact-Checking Day on February 2.[69] Signatories follow a Code of Principles that demands transparency in sources and methods, separation from partisan interests, and corrections for errors. Compliance is verified via periodic assessments.[69] An executive committee and staff oversee standards, grants, and monitoring, bolstered by partnerships such as a 2022 Google grant creating the Global Fact Check Fund for under-resourced outlets.[70][69] UNESCO maintains a database of non-partisan fact-checking outlets across languages and regions. It provides capacity-building programs, including trainings with Agence France-Presse in October 2024 and online courses for digital creators. These follow a November 2024 survey revealing that 62% fail to verify information rigorously before sharing.[71][72][73] The efforts combat disinformation in elections and public health by prioritizing empirical verification over narratives.[71] Regionally, the European Fact-Checking Standards Network (EFCSN), formed in 2022, links over 60 organizations from more than 30 countries. Its Code requires methodological rigor, funding transparency, and impartiality in claim assessments.[74] Initially funded by the European Commission until December 2023, EFCSN conducts audits and advocates for independent verification amid platform pressures.[74] These networks underpin 443 active projects across over 100 countries, as tracked by the Duke Reporters' Lab in 2025—a 2% drop from peaks due to resource limits and political backlash.[75]

Integration with Social Media Platforms

Social media platforms integrated fact-checking after the 2016 U.S. presidential election, driven by concerns over misinformation's electoral impact. This led to collaborations with independent organizations, such as those in the International Fact-Checking Network (IFCN), to label or demote false content.[76][77] Third-party fact-checkers reviewed posts, rated accuracy, and prompted actions like reduced visibility or warnings. Meta's December 2016 program, for example, allowed certified checkers to rate viral content—including ads, videos, and text—as true, partly false, or false, notifying users and throttling debunked material's distribution.[78][79] Partnerships grew to include funding, with Meta supporting dozens of global organizations to target clear hoaxes while avoiding opinion disputes.[80] YouTube, owned by Google, opted for grants over direct ratings, providing $13.2 million in 2022 to the IFCN's Global Fact Check Fund to enhance capacity and add verified sources to video panels.[70][81] Its policies prioritized content from partners and downranked borderline misinformation.[82] By 2025, platforms shifted to crowdsourced methods amid bias allegations against third-party checkers, often seen as left-leaning in targeting conservative claims.[53][83] After Elon Musk's 2022 acquisition, X (formerly Twitter) replaced partnerships with Community Notes, a user-driven system rated for helpfulness to bridge ideological gaps, often citing fact-checkers but emphasizing transparency.[84] Studies showed it curbed false post virality by limiting shares and views, sometimes achieving consensus faster than traditional approaches.[85] Meta discontinued third-party fact-checking on Facebook, Instagram, and Threads in January 2025, adopting user notes to address censorship risks and biases, despite warnings of disinformation rises.[86][87][42] These changes highlight tensions between centralized verification—swift for hoaxes but prone to selective enforcement—and decentralized models, which data indicate build trust via diverse sources but may delay responses to fast-spreading falsehoods.[88][89] TikTok retained lighter IFCN partnerships for training and labeling, but overall trends favor hybrids balancing scale and accountability.[90] Public support for labels endures, especially among news consumers, yet funded networks' homogenized outputs call for methodological pluralism to avoid ideological capture.[91][92]

Empirical Evidence of Impact

Correcting Individual Misperceptions

Empirical studies show that fact-checking reduces belief in specific misinformation claims, with meta-analyses confirming average effect sizes for partial correction across contexts. A multinational experiment with over 22,000 participants exposed to false news headlines found fact-checks decreased false beliefs by 0.59 standard deviations on average; effects persisted over two weeks in most cases, with minimal variation by country or ideology.[93] A meta-analysis of 44 political fact-checking studies reported significant reductions in misinformation reliance, especially with direct refutations rather than indirect methods like media literacy tips.[94] These results apply to science and political misinformation, improving accuracy without consistent partisan asymmetry in belief updating.[95] Complete eradication of misperceptions remains rare, however, due to the continued influence effect: retracted misinformation lingers in memory, subtly shaping judgments even after accepting a correction. A synthesis of 32 experiments quantified this as a weak but significant negative shift (r = -0.05), linked to familiarity with original falsehood details.[96] Detailed explanations filling knowledge gaps and warnings against relying on debunked details mitigate it more than simple retractions.[97] In health and COVID-19 contexts, corrections curbed persistence but left residual effects on risk perceptions.[98] The backfire effect—corrections strengthening misperceptions—proves infrequent, often stemming from methodological artifacts rather than core psychology. Reviews of experiments, including worldview-incongruent cases, found no reliable evidence across demographics; rare instances tied to measurement flaws like demand characteristics or strong priors, not the fact-check.[99][100] Instead, corrections prove less effective against entrenched partisan beliefs yet deliver net accuracy gains without reversal.[101] Fact-checks thus reliably shift beliefs toward facts, though effect sizes vary with correction quality, source credibility, repeated misinformation exposure, and motivated reasoning limits.[102]

Influences on Public Discourse and Behavior

Fact-checking reduces belief in misinformation, limiting false claims' spread in conversations and media ecosystems. A multinational study of over 22,000 participants across 16 countries found fact-checks lowered false beliefs by 0.59 on a 0-4 scale, with effects persisting beyond two weeks and minimal national variation.[103] Corrected beliefs curb inaccuracy amplification in group discussions, reducing endorsement of erroneous narratives in social and political exchanges.[104] Fact-checks also prompt accuracy in sharing decisions, decreasing misinformation dissemination on platforms. "Accuracy nudges"—reminders to verify before sharing—cut false news sharing by up to 20% without reducing overall posting, fostering discerning interactions.[105] Sustained exposure correlates with shifted media consumption, as individuals select sources more carefully, potentially easing echo chambers and polarized discourse.[106] Yet broader behavioral effects, like on voting or policy compliance, are modest and context-dependent. Fact-checks correct specific errors but seldom alter entrenched attitudes or partisan actions; meta-analyses confirm improved beliefs across groups but limited spillover to choices like elections.[99] In policy areas, they increase adherence to evidence-based guidelines—such as lower non-compliance in public health campaigns—but effects diminish without reinforcement.[107] These results highlight fact-checking's value in elevating discourse while revealing limits against ideologically rooted habits.[53]

Long-Term Effectiveness and Backfire Risks

Empirical studies show fact-checking interventions reduce belief in misinformation by an average of 0.59 points on a 5-point scale across global samples, but effects often fade without reinforcement.[93] Corrections can persist over two weeks in some cases, yet beliefs frequently regress due to memory decay of the original misinformation.[108] Repeated exposure to fact-checks enhances durability and fosters inoculation against novel misinformation by boosting discernment, though this demands ongoing rather than one-time engagement.[106] Reminder strategies, like veracity-labeled repetitions of corrected claims, further prolong accuracy by reinforcing memory and curbing reversion to false priors.[109] Early experiments identified backfire effects—strengthened false beliefs post-correction—especially when challenging core worldviews, but reviews and replications deem them rare and context-bound, not widespread.[100] Meta-analyses and panel studies from political campaigns and international contexts reveal no systematic backfiring; fact-checks instead produce neutral or positive shifts, including among partisans.[93][110] This scarcity stems more from public opinion inertia and repeated uncorrected falsehoods—or low fact-check awareness—than reactive reinforcement.[111] While designs attuned to artifacts occasionally replicate isolated backfires, they fail to account for general durability shortfalls, highlighting overstated risks against reliable correction gains.[112]

Controversies and Criticisms

Allegations of Ideological Bias

Critics allege that fact-checking organizations like PolitiFact and Snopes show left-wing bias through uneven standards, selective coverage of liberal-favoring topics, and staff affiliations. Fact-checkers apply stricter scrutiny to conservative politicians and policies than to equivalent liberal claims, critics say, eroding neutral credibility.[23][113] Political donation patterns provide evidence. Federal Election Commission records from 2015 to 2023 show $22,683 in contributions from "fact checker" occupation holders, with 99.5% ($22,580) to Democrats and liberal causes—including ten times more to Bernie Sanders than to all Republicans ($103 in three donations). Donors affiliated with The New York Times, Reuters, Google, Vox, and CBS News, contradicting nonpartisan claims.[114] Rating imbalances add to concerns. A Duke University study of PolitiFact found 52.3% of Republican statements rated "False" or "Pants on Fire," versus 29.7% for Democrats; Democrats received "True" or "Mostly True" ratings 28.5% of the time, compared to 15.2% for Republicans. A George Mason University analysis showed PolitiFact rating Republican claims false three times more often than Democratic ones during Barack Obama's second term (2013–2016). Such patterns reflect not just claim volume but selection bias, with fact-checkers prioritizing Republican statements even under Democratic administrations.[23][113][115] High-profile cases highlight inconsistencies. In 2020, platforms influenced by fact-checkers like Twitter and Facebook suppressed the New York Post's Hunter Biden laptop story as Russian disinformation, though later forensic authentication and use in his 2024 trial proved otherwise; PolitiFact initially questioned Joe Biden's involvement. Likewise, fact-checkers dismissed the COVID-19 lab leak theory as a fringe conspiracy, leading to content demotions, until 2023 when U.S. agencies including the FBI (moderate confidence) and Department of Energy deemed it plausible. Critics view these as alignment with left-leaning media and academic views.[116][117][118][119]

Methodological Flaws and Inconsistencies

Fact-checking organizations show inconsistencies in rating similar claims, with studies revealing low inter-rater agreement among outlets. An analysis of over 22,000 fact-checks from PolitiFact, Snopes, Logically, and the Australian Associated Press found discrepancies in verdicts on election integrity and COVID-19 policies, due partly to timing and interpretive differences rather than evidence alone.[12] A comparison of Washington Post and PolitiFact ratings on 154 Donald Trump statements yielded moderate agreement (kappa = 0.41), stemming from scale sensitivity where minor wording alters deceptiveness categories.[13] Methodological subjectivity erodes reproducibility, as systems like PolitiFact's Truth-O-Meter rely on qualitative judgments without standardized thresholds for evidence or context. This enables flexibility: the same fact might score differently depending on emphasis on implications versus literal accuracy. For example, over-optimistic economic predictions rated Mostly False by one outlet appeared True elsewhere if partially realized.[120] Critiques highlight that ordinal scales create inconsistencies in misleadingness degrees, even when core falsity aligns, complicating misinformation meta-analyses.[13] Sampling biases undermine representativeness. Fact-checkers disproportionately target high-profile claims from one ideology—often amplified on social media—while under-examining similar ones from opponents or institutions. A 2023 study showed U.S. fact-checkers focused 70% more on Republican claims during the 2020 election, skewing misinformation perceptions absent randomized protocols.[12] Opaque prioritization fosters selective framing, which evidence suggests reinforces echo chambers over neutral correction, as unchallenged narratives endure.[90] Cognitive biases in human evaluators intensify these problems, including confirmation bias toward aligned evidence and anchoring from initial exposure. Despite training, fact-checkers display partisan asymmetries: left-leaning ones scrutinize conservative claims harshly for contextual omission but apply looser standards to progressive ones.[18] Countermeasures like blind protocols and algorithms see limited adoption, with most organizations withholding methodology pre-registration or raw data, blocking verification and eroding trust.[18] Datasets from 2016–2022 confirm persistent inconsistencies, with agreement rarely above 60% on disputed issues, trailing aspirational reliability.[22]

Implications for Free Speech and Censorship

Fact-checking organizations and their ratings integrate into social media platforms' content moderation systems, where disputed claims face algorithmic demotion, visibility reductions, or removals—limiting information dissemination without formal speech bans. Before January 2025, Meta relied on third-party fact-checkers to label and suppress false content, a practice CEO Mark Zuckerberg later called excessive censorship for prioritizing institutional truth over open debate.[121][87] This chills expression, as users and creators self-censor to evade penalties, especially on elections or public health topics where fact-checker consensus may lag evidence or reflect biases. Government involvement amplifies these concerns. Twitter Files, released from December 2022, exposed over 150 Biden administration communications to Twitter urging suppression of COVID-19 origins and Hunter Biden laptop narratives, often via fact-checker labels later validated as accurate.[122] Though Twitter's legal team denied coercion in a June 2023 filing, the files reveal how public-private collaborations enable indirect state influence on platforms, bypassing First Amendment constraints.[123] Internationally, the European Union's Digital Services Act (implemented 2024) mandates platforms use fact-checkers for proactive moderation, heightening risks of viewpoint suppression under "harmful" content rules. Inconsistent application disproportionately targets dissenting views, such as early vaccine mandate skepticism, allowing only approved narratives to thrive.[124] Meta's January 2025 U.S. shift to a Community Notes model, inspired by X's crowdsourced approach, signals recognition that centralized verification erodes free speech through error-prone gatekeeping.[121] While proponents claim fact-checking shields discourse from falsehoods, patterns show it often enforces consensus, potentially undermining inquiry into contested realities.[125]

Recent Developments and Future Directions

Technological Advancements Including AI

Automated fact-checking has advanced through natural language processing (NLP) and machine learning algorithms that identify claims, extract verifiable elements, and cross-reference them against databases of prior checks or reliable sources, speeding up traditional manual verification. Tools like ClaimBuster, from University of Texas at Arlington researchers, apply NLP to flag potentially false statements in political speeches or articles for human review, showing promise in large-scale detection during the 2016 U.S. presidential debates. Full Fact's AI systems similarly scan text for inconsistencies, integrating into journalistic workflows to manage high volumes from social media and news.[126][127] Generative AI, including large language models (LLMs), extends these capabilities for claim generation, evidence retrieval, and initial assessments, though studies show mixed results. A 2024 evaluation of tools like ClaimBuster, Full Fact, TheFactual, and Google's Fact-Check Explorer reported accuracy up to 70% in verification but challenges with contextual nuances or novel misinformation absent from training data. Per a March 2025 Poynter survey, 30% of International Fact-Checking Network (IFCN)-affiliated fact-checkers used AI for tasks like monitoring disinformation on WhatsApp, often funded by Meta grants against AI-generated content. Yet human oversight remains essential to counter AI hallucinations and biases from skewed training datasets.[128][129][130] Hybrid human-AI approaches address these limits via explainable AI (XAI) for auditing decisions. By February 2025, prototypes combining deep learning and computer vision enabled partial automation of visual misinformation detection, such as deepfakes, though deployment faces high computational costs and error rates over 20% in real settings. Poynter-linked entities urge using AI for repetitive triage rather than final verdicts, as 2024 Reuters Institute findings highlight unreliability in low-resource languages and complex causal claims. While offering scalability for millions of daily claims, these tools have not reduced overall misinformation without platform enforcement, failing to address core issues of source credibility or interpretive conflicts.[131][132][133][134]

Declines in Fact-Checking Activity

In 2025, active fact-checking organizations declined slightly to 443 projects worldwide, a 2 percent drop from 2024, according to the Duke Reporters' Lab.[75] This followed slower growth, with Poynter's 2023 State of the Fact-Checkers Report recording only 23 new organizations in countries lacking prior International Fact-Checking Network (IFCN) signatories—fewer than in previous years.[135] Politicization, along with pressures from political actors and platforms, has accelerated this reduction in global sites.[136] Platform changes have further reduced activity. In January 2025, Meta ended its third-party fact-checking on Facebook, Instagram, and Threads in the U.S., replacing it with user notes and AI moderation rather than content demotion.[87] [86] CEO Mark Zuckerberg announced the shift, leading to financial strain and layoffs at partners like Lead Stories.[137] X (formerly Twitter) had already moved to Community Notes by 2023, reducing reliance on traditional fact-checkers across major platforms.[138] These shifts align with declining public support. U.S. approval for tech firms combating online falsehoods fell from 2018 and 2021 peaks by 2023.[139] Eroding trust in institutions has fueled skepticism toward fact-checking, with Axios noting in April 2025 a reduced U.S. focus on misinformation amid doubts about fact-oriented bodies.[140] Fact-checking output has thus plateaued or shrunk, straining small teams—68 percent with 10 or fewer staff—and worsening sustainability issues.[135]

Platform Policy Shifts and Global Challenges

In January 2025, Meta ended third-party fact-checking on Facebook, Instagram, and Threads, adopting a crowdsourced Community Notes system like X's. The company cited prior moderation as restrictive and biased toward suppressing dissent.[121][141] This followed critiques of legacy fact-checkers' inconsistent standards, especially in the 2024 U.S. election, where enforcement favored certain narratives—often linked to institutions' ideological leanings.[53] X, rebranded from Twitter under Elon Musk since October 2022, relies on Community Notes—originally Birdwatch in 2021—for contextualizing misleading posts. Studies show it cuts false information sharing by 20-30% when notes attach and builds greater user trust than top-down checks.[85][88] Professionals contribute, but algorithms favor consensus from diverse users to counter centralized biases. Critics note slower deployment can amplify unverified claims on fast-spreading content.[142][143] These changes highlight platforms' push to balance misinformation fights with free speech, amid falling trust in International Fact-Checking Network groups due to government and philanthropy funding ties.[144] Globally, the EU's Digital Services Act (DSA), effective August 2023, requires large platforms to curb disinformation risks without mandating fact-checks. Compliance varies: Google rejected fact-check labels in search or YouTube rankings in January 2025.[145][146] The DSA incorporates the voluntary Code of Practice on Disinformation, pushing tools like labeling and reporting; non-signatories must match efforts, fostering ambiguities platforms use to limit user-generated content liability.[147] Authoritarian and populist regimes intensify threats, with fact-checkers facing harassment, lawsuits, and shutdowns—as in Brazil and India, where platforms endured bans for state critiques. Attacks on verifiers rose 15-20% globally since 2022.[148][149] AI deepfakes and multilingual disinformation add strain via language barriers and verification lags in non-English settings.[150] Such tensions pit platform independence against state oversight: overreach may entrench official views as "truth," while lax rules allow falsehoods to thrive in siloed ecosystems.[151]

References

  1. FACT-CHECKING definition | Cambridge English Dictionary
  2. https://www.afp.com/en/fact-checking/fact-checking-afp/what-fact-checking
  3. What is fact-checking? - Ballotpedia
  4. The History of Fact Checking Jobs in News Journalism | TIME
  5. The Fact-Check Industry - Columbia Journalism Review
  6. “Fact-checking” fact checkers: A data-driven approach
  7. Bias in Fact Checking?: An Analysis of Partisan Trends Using ...
  8. Does fact-checking work? What the science says - Nature
  9. Fact-checking increases the reputation of the fact-checker but ...
  10. The global effectiveness of fact-checking - PubMed Central - NIH
  11. When are Fact-Checks Effective? An Experimental Study on the ...
  12. Debunking “fake news” on social media: Immediate and short-term ...
  13. FACT-CHECK Definition & Meaning - Merriam-Webster
  14. Critical Skills: Fact-checking | Research Starters - EBSCO
  15. Fact-Checking: How to Guide - Library at South College
  16. What is fact-checking? - AFP.com
  17. Verification and Fact Checking | DataJournalism.com
  18. Fact-Checking in Journalism: An Epistemological Framework
  19. IFCN Code of Principles
  20. International Fact-Checking Network fact-checkers' code of principles
  21. Cross-checking journalistic fact-checkers: The role of sampling and ...
  22. [PDF] The Liberal Media: It's No Myth - Harvard University
  23. On the nature of real and perceived bias in the mainstream media
  24. The commitments - IFCN Code of Principles
  25. Cognitive Biases in Fact-Checking and Their Countermeasures
  26. 3. How to Fact-Check - The Truth in Journalism Project
  27. The Fact-Checking Process - KSJ Handbook
  28. The presence of unexpected biases in online fact-checking
  29. Fact-Checking the Fact-Checking Industry - R Street Institute
  30. Fact-Checking as Idea and Practice in Journalism
  31. The Three Models of Fact-Checking - KSJ Handbook
  32. https://www.cjr.org/special_report/rise-and-fall-of-fact-checking.php
  33. The History of The New Yorker's Vaunted Fact-Checking Department
  34. On the nature of truth, and the history of fact checking | Melbourne ...
  35. The Importance of Fact-Checking Politicians - Foreign Press Centers
  36. Remembering David Broder and his passion for fact-checking
  37. [PDF] The Rise of Political Fact-checking - Issue Lab
  38. Who Pays For PolitiFact? | PolitiFact
  39. About The Fact Checker - The Washington Post
  40. Who decides what's true in politics? A history of the rise of ... - Poynter
  41. The Rise of Fact-Checking Sites in Europe
  42. Fact-checking organizations - Ballotpedia
  43. International Fact-Checking Network - Poynter
  44. Fact-checking Websites - History Timelines
  45. Checking in with the Facebook fact-checking partnership
  46. As Social Platforms Withdraw Support, Professional Fact Checkers ...
  47. Fact Checking & Verification for Reporting - LibGuides at CUNY ...
  48. Introduction to Investigative Journalism: Fact-Checking
  49. Time magazine fact-checking mistake shows value of fact ... - Poynter
  50. Closing the Barn Door? Fact-Checkers as Retroactive Gatekeepers ...
  51. standards and guidelines on integrity - The New York Times
  52. Correction and Retraction Policy - Ubiquity Press
  53. The funny, the weird and the serious: 33 media corrections from 2018
  54. You've been fact-checked! Examining the effectiveness of social ...
  55. Facts, alternative facts, and fact checking in times of post-truth politics
  56. Does fact-checking actually work? A critical review - DW Akademie
  57. Mistakes happen in research papers. But corrections often don't
  58. Study: Crowds can wise up to fake news | MIT News
  59. Can crowdsourced fact-checking curb misinformation on social ...
  60. Crowdsourced Fact-checking: Does It Actually Work? - ScienceDirect
  61. Evaluating the Efficacy of Real-Time Crowdsourced Fact-Checking
  62. Understanding how Americans perceive fact-checking labels
  63. How do online users respond to crowdsourced fact-checking? - Nature
  64. Readable and neutral? Reliability of crowdsourced misinformation ...
  65. Citizen journalism can expand news coverage and fill gaps in ...
  66. Social Media Fact-Checking: The Effects of News Literacy and ... - NIH
  67. FactCheck.org - A Project of The Annenberg Public Policy Center
  68. Fact Check Bias Chart - AllSides
  69. https://www.washingtonpost.com/news/fact-checker/
  70. https://www.snopes.com/
  71. About IFCN - Poynter
  72. How Google and YouTube are investing in fact-checking
  73. Global Fact-Checking Sites - UNESCO
  74. UNESCO and Ministry of Information partner to upgrade fact-checking
  75. 2/3 of digital content creators do not check their facts before - UNESCO
  76. About - European Fact-Checking Standards Network (EFCSN)
  77. 2025 census: Fact-checkers persevere as politicians, platforms turn ...
  78. Hard Questions: How Is Facebook's Fact-Checking Program Working?
  79. How fact-checking works | Transparency Center
  80. About Fact-checking on Facebook, Instagram and Threads
  81. Rating Options for Fact-Checkers | Meta Business Help Center
  82. Fact-Checking Policies on Facebook, Instagram, and Threads
  83. Google and YouTube partner with Poynter's International Fact ...
  84. YouTube misinformation policies - How YouTube Works
  85. Fact-checkers, targeted by MAGA loyalists, blast Zuckerberg's ... - CNN
  86. Can Community Notes Replace Professional Fact-Checkers? - arXiv
  87. Community Notes help reduce the virality of false information on X ...
  88. Meta Says It Will End Its Fact-Checking Program on Social Media ...
  89. Meta to end fact-checking program on Facebook and Instagram - NPR
  90. Community notes increase trust in fact-checking on social media - NIH
  91. References to unbiased sources increase the helpfulness ... - Nature
  92. Full article: What Is the Problem with Misinformation? Fact-checking ...
  93. Public Support for Fact-Checking on Social Media Remains Strong ...
  94. The Content Homogenization of Fact-Checking Through Platform ...
  95. The global effectiveness of fact-checking: Evidence from ... - PNAS
  96. Fact-Checking: A Meta-Analysis of What Works and for Whom
  97. A meta-analysis of correction effects in science-relevant ... - NIH
  98. [PDF] A Meta-Analytic Examination of the Continued Influence of ...
  99. Exploring factors that mitigate the continued influence of ...
  100. Continued influence of misinformation in times of COVID-19 - PubMed
  101. Factual corrections: Concerns and current evidence - ScienceDirect
  102. Examining the replicability of backfire effects after standalone ...
  103. The psychological drivers of misinformation belief and its resistance ...
  104. Prominent misinformation interventions reduce misperceptions but ...
  105. Nudging Social Media toward Accuracy - PMC - PubMed Central
  106. Sustaining Exposure to Fact-Checks: Misinformation Discernment ...
  107. Countering Disinformation Effectively: An Evidence-Based Policy ...
  108. Memory failure predicts belief regression after the correction of ...
  109. Sustaining corrected beliefs in false news headlines over time
  110. Correcting campaign misinformation: Experimental evidence from a ...
  111. Why the backfire effect does not explain the durability of political ...
  112. Searching for the Backfire Effect: Measurement and Design ...
  113. Study: Media Fact-Checker Says Republicans Lie More
  114. Nearly 100 Percent of Political Contributions From Fact Checkers Go ...
  115. Selection Bias? PolitiFact Rates Republican Statements as False at ...
  116. Facts vs Myths: Was Hunter Biden's Laptop Russian Disinformation?
  117. Trump right about Hunter's 'laptop from hell,' though Biden claimed ...
  118. Social Media Companies, Fact Checkers Shrug Off Wuhan Lab Leak ...
  119. Facebook's Fact-Checkers Changed the Way I See Tech—and ...
  120. Full article: Checking PolitiFact's Fact-Checks - Taylor & Francis Online
  121. More Speech and Fewer Mistakes - About Meta
  122. The Cover Up: Big Tech, the Swamp, and Mainstream Media ...
  123. Twitter's own lawyers refute Elon Musk's claim that the 'Twitter Files ...
  124. [PDF] Fact-checking and content moderation - European Parliament
  125. Meta's Fact-Checking Rollback: Governance, Free Speech, and ...
  126. [PDF] EMERGING TECHNOLOGIES AND AUTOMATED FACT-CHECKING
  127. How AI-Powered Fact-Checking Can Help Combat Misinformation
  128. [PDF] Efficacy Analysis of Online Artificial Intelligence Fact-Checking Tools
  129. [PDF] STATE OF THE FACT-CHECKERS REPORT - Poynter
  130. IFCN names winners of Meta grants to combat AI-generated ...
  131. Show Me the Work: Fact-Checkers' Requirements for Explainable ...
  132. Assisting automated fact-checking via external evidences - Vera.ai
  133. Fact-checkers urge collaboration, caution in using artificial ... - Poynter
  134. Generative AI is already helping fact-checkers. But it's proving less ...
  135. [PDF] State of the Fact-Checkers Report - Poynter
  136. Fact checks fall amid political pressure - Axios
  137. Meta's factchecking partners brace for layoffs - The Guardian
  138. Meta gets rid of fact checkers and says it will reduce 'censorship'
  139. https://www.statista.com/chart/33748/public-view-of-fact-checking-by-tech-companies/
  140. Fact-checking fades as institutional trust wanes - Axios
  141. Fact-checkers are among the top sources for X's Community Notes ...
  142. Fact check: Are X's community notes fueling misinformation? - DW
  143. Can Community Notes Replace Professional Fact-Checkers? - arXiv
  144. Google won't add fact-checks despite new EU law - Axios
  145. Fact-checking and content moderation | Think Tank
  146. The EU's Code of Practice on Disinformation is Now Part of the ...
  147. Amid war, vicious attacks and political turmoil, global fact-checkers ...
  148. Threats to freedom of press: Violence, disinformation & censorship
  149. Beyond Political Fact-Checking: An Exploration of Fact-Checkers ...
  150. The Struggle for Trust Online | Freedom House
  151. A Beginner's Guide to Social Media Verification
  152. FactCheck.org - Ballotpedia
  153. The ephemeral effects of fact-checks on COVID-19 misperceptions in the United States, Great Britain and Canada
  154. Fact-checks focus on famous politicians, not partisans
  155. A Measure of Media Bias
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