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Fact-checking

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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] A review of US politics fact-checkers shows a mixed result of whether fact-checking is an effective way to reduce misconceptions, and whether the method is reliable.[7]

History of fact-checking

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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.[8] 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, the mainstream media has come under severe economic threat from online startups. In addition, the rapid spread of misinformation and conspiracy theories via social media is slowly creeping into mainstream media. One solution is for more media staff to be assigned a fact-checking role, as for example The Washington Post. Independent fact-checking organisations have also become prominent, such as PolitiFact.

Types of fact-checking

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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, and Full Fact in the UK.

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.[9]

Post hoc fact-checking

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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.[9]

Consistency across fact-checking organizations

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One 2016 study finds that fact-checkers PolitiFact, FactCheck.org, and The Washington Post's Fact Checker overwhelmingly agree on their evaluations of claims.[10][11] A 2018 paper found little overlap in the statements checked by different fact-checking organizations.[12] 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.[12] For those 77 statements, the fact-checking organizations gave the same ratings for 49 statements and similar ratings for 22, about 92% agreement.[12]

Choice of which statements to check

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Different fact-checking organizations have shown different tendencies in their choice of which statements they publish fact-checks about.[13] 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.[13]

Effects

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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.[14]

Correcting misperceptions

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See also: Belief § Belief studies

Studies have shown that fact-checking can affect citizens' belief in the accuracy of claims made in political advertisement.[15] 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.[16] 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."[17]

A study by Yale University cognitive scientists Gordon Pennycook 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".[18] A Dartmouth study led by Brendan Nyhan found that Facebook tags had a greater impact than the Yale study found.[19][20] 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%.[19] A 2019 study found that the "disputed" tag reduced Facebook users' intentions to share a fake news story.[21] 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.[18] 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.[22]

Based on the findings of a 2017 study in the journal Psychological Science, the most effective ways to reduce misinformation through corrections is by:[23]

  • 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:[24][25]

  • 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.[26] 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."[27]

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.[28] 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.[29]

Some studies have found that exposure to fact-checks had durable effects on reducing misperceptions,[30][31][32] whereas other studies have found no effects.[33][34]

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",[35] but several other studies did not.[36][37][38][39][40]

Political discourse

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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."[12]

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."[41]

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.[42]

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.[43]

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....[44]

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".[45]

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.[9] 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.[46] 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.[47] 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.[46]

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.[48] 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.[48] 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.[49]

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.[74] 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.[75]

Recently, a lot of work has gone into helping detect and identify fake news through machine learning and artificial intelligence.[76][77][78] 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.[79] 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.[80][81]

There are also demonstrations of platform-built-in (by-design) as well browser-integrated (currently in the form of addons) misinformation mitigation.[82][83][84][85] Efforts such as providing and viewing structured accuracy assessments on posts "are not currently supported by the platforms".[82] Trust in the default or, in decentralized designs, user-selected providers of assessments[82] (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 in June 2014.[86] The holiday was officially created in 2016 and first celebrated on April 2, 2017.[87] 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."[88] 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,[89] which is when a correction increases the their belief in the misconception.[90] 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."[91] In other words "while news articles can be fact-checked, personal beliefs cannot."[92]

Critics argue that political fact-checking is increasingly used as opinion journalism.[93][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.[94] 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."[95][96]

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.[97] 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%)."[97]

Deceptive websites that pose as fact-checkers have also been used to promote disinformation; this tactic has been used by both Russia and Turkey.[98]

During the COVID-19 pandemic, Facebook announced it would "remove false or debunked claims about the novel coronavirus which created a global pandemic",[99] based on its fact-checking partners, collectively known as the International Fact-Checking Network.[100] In 2021, Facebook reversed its ban on posts speculating the COVID-19 disease originated from Chinese labs,[101][102] 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."[103][104] 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.[105][100][106][107] 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."[100]

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.[108]

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.[109]

Social media platforms – Facebook in particular – have been accused by journalists and academics of undermining fact-checkers by providing them with little assistance;[98][110] including "propagandist-linked organizations"[98] such as CheckYourFact as partners;[98][111] promoting outlets that have shared false information such as Breitbart and The Daily Caller on Facebook's newsfeed;[98][112] and removing a fact-check about a false anti-abortion claim after receiving pressure from Republican senators.[98][113] 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.[114][115] 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.[116] 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.[117][118] Many fact-checkers rely heavily on social media platform partnerships for funding, technology and distributing their fact-checks.[119][120]

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".[98]

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".[98]

Fact-checking journalists have been harassed online and offline, ranging from hate mail and death threats to police intimidation and lawfare.[121][122][123][124]

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.[125] Fact-checking websites in China often avoid commenting on political, economic, and other current affairs.[126] Several Chinese fact-checking websites have been criticized for lack of transparency with regard to their methodology and sources, and for following Chinese propaganda.[127]

Pre-publication fact-checking

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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.[128]

Fact-checkers verify that the names, dates, and facts in an article or book are correct.[128] 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][128] though they were not originally called "fact-checkers".[129] Fact-checkers may be aspiring writers, future editors, or freelancers engaged other projects; others are career professionals.[128]

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.[128]

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[128] and the fact-checking department of the German weekly magazine Der Spiegel counted 70 staff in 2017.[130] 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.[128]

Checking original reportage

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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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  1. ^ a b c d e Graves, Lucas; Amazeen, Michelle A. (25 February 2019), "Fact-Checking as Idea and Practice in Journalism", Oxford Research Encyclopedia of Communication, Oxford University Press, doi:10.1093/acrefore/9780190228613.013.808, ISBN 9780190228613
  2. ^ Drutman, Lee (3 June 2020). "Fact-Checking Misinformation Can Work. But It Might Not Be Enough". FiveThirtyEight. Retrieved 5 December 2020.
  3. ^ a b Nyhan, Brendan; Reifler, Jason (1 July 2015). "The Effect of Fact-Checking on Elites: A Field Experiment on U.S. State Legislators". American Journal of Political Science. 59 (3): 628–40. doi:10.1111/ajps.12162. hdl:10871/21568. ISSN 1540-5907. S2CID 59467358.
  4. ^ a b Nyhan, Brendan (13 April 2021). "Why the backfire effect does not explain the durability of political misperceptions". Proceedings of the National Academy of Sciences. 118 (15): e1912440117. Bibcode:2021PNAS..11812440N. doi:10.1073/pnas.1912440117. ISSN 0027-8424. PMC 8053951. PMID 33837144.
  5. ^ a b Riddell, Kelly (26 September 2016). "Eight examples where 'fact-checking' became opinion journalism". The Washington Times. Archived from the original on 26 September 2016. Retrieved 27 September 2016.
  6. ^ a b Graves, Lucas (2016). Deciding What's True: The Rise of Political Fact-Checking in American Journalism. Columbia University Press. p. 27. ISBN 9780231542227.
  7. ^ Nieminen, Sakari; Rapeli, Lauri (19 July 2018). "Fighting Misperceptions and Doubting Journalists' Objectivity: A Review of Fact-checking Literature". Political Studies Review. 17 (3): 296–309. doi:10.1177/1478929918786852. S2CID 150167234. Retrieved 16 July 2022.
  8. ^ Dickey, Colin (Fall, 2019). The rise and fall of facts. Columbia Journalism Review. https://web.archive.org/web/20191207195717/https://www.cjr.org/special_report/rise-and-fall-of-fact-checking.php
  9. ^ a b c Alexios Mantzarlis (2018). "Fact-Checking 101 - Unesco" (PDF). en.unesco.org. Archived (PDF) from the original on 1 March 2020. Retrieved 19 January 2020.
  10. ^ Amazeen, Michelle A. (1 October 2016). "Checking the Fact-Checkers in 2008: Predicting Political Ad Scrutiny and Assessing Consistency". Journal of Political Marketing. 15 (4): 433–464. doi:10.1080/15377857.2014.959691. hdl:2144/27297. ISSN 1537-7857. S2CID 145133839.
  11. ^ Amazeen, Michelle A. (2 January 2015). "Revisiting the Epistemology of Fact-Checking". Critical Review. 27 (1): 1–22. doi:10.1080/08913811.2014.993890. hdl:2144/27304. ISSN 0891-3811. S2CID 143522323.
  12. ^ a b c d Lim, Chloe (1 July 2018). "Checking how fact-checkers check". Research & Politics. 5 (3): 2053168018786848. doi:10.1177/2053168018786848. ISSN 2053-1680.
  13. ^ a b Marietta, Morgan; Barker, David C.; Bowser, Todd (2015). "Fact-Checking Polarized Politics: Does The Fact-Check Industry Provide Consistent Guidance on Disputed Realities?" (PDF). The Forum. 13 (4): 577. doi:10.1515/for-2015-0040. S2CID 151790386. Archived (PDF) from the original on 6 October 2016. Retrieved 27 September 2016.
  14. ^ Amazeen, Michelle (2015) "Monkey Cage: Sometimes political fact-checking works. Sometimes it doesn't. Here's what can make the difference.", The Washington Post (online), 3 June 2015, see [1] Archived 3 August 2015 at the Wayback Machine, accessed 27 July 2015.
  15. ^ Fridkin, Kim; Kenney, Patrick J.; Wintersieck, Amanda (2 January 2015). "Liar, Liar, Pants on Fire: How Fact-Checking Influences Citizens' Reactions to Negative Advertising". Political Communication. 32 (1): 127–151. doi:10.1080/10584609.2014.914613. ISSN 1058-4609. S2CID 143495044.
  16. ^ Barrera, Oscar; Guriev, Sergei; Henry, Emeric; Zhuravskaya, Ekaterina (1 February 2020). "Facts, alternative facts, and fact checking in times of post-truth politics". Journal of Public Economics. 182: 104123. doi:10.1016/j.jpubeco.2019.104123. ISSN 0047-2727.
  17. ^ Hill, Seth J. (16 August 2017). "Learning Together Slowly: Bayesian Learning about Political Facts". The Journal of Politics. 79 (4): 1403–1418. doi:10.1086/692739. ISSN 0022-3816. S2CID 56004909.
  18. ^ a b Pennycook, Gordon; Rand, David G. (12 September 2017), The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings, Elsevier BV, SSRN 3035384
  19. ^ a b Nyhan, Brendan (23 October 2017). "Why the Fact-Checking at Facebook Needs to Be Checked". The New York Times. ISSN 0362-4331. Archived from the original on 23 October 2017. Retrieved 23 October 2017.
  20. ^ Clayton, Katherine; Blair, Spencer; Busam, Jonathan A.; Forstner, Samuel; Glance, John; Green, Guy; Kawata, Anna; Kovvuri, Akhila; Martin, Jonathan (11 February 2019). "Real Solutions for Fake News? Measuring the Effectiveness of General Warnings and Fact-Check Tags in Reducing Belief in False Stories on Social Media". Political Behavior. 42 (4): 1073–1095. doi:10.1007/s11109-019-09533-0. ISSN 1573-6687. S2CID 151227829.
  21. ^ Mena, Paul (2019). "Cleaning Up Social Media: The Effect of Warning Labels on Likelihood of Sharing False News on Facebook". Policy & Internet. 12 (2): 165–183. doi:10.1002/poi3.214. ISSN 1944-2866. S2CID 201376614.
  22. ^ "Facebook stops putting "Disputed Flags" on fake news because it doesn't work". Axios. 27 December 2017. Archived from the original on 28 December 2017. Retrieved 28 December 2017.
  23. ^ Chokshi, Niraj (18 September 2017). "How to Fight 'Fake News' (Warning: It Isn't Easy)". The New York Times. ISSN 0362-4331. Archived from the original on 18 September 2017. Retrieved 19 September 2017.
  24. ^ Ethan Porter; Thomas J. Wood (3 October 2019). False Alarm: The Truth About Political Mistruths in the Trump Era. Cambridge University Press. doi:10.1017/9781108688338. ISBN 9781108688338. S2CID 240628244.
  25. ^ Fact-Checking Misinformation Can Work. But It Might Not Be Enough.
  26. ^ Walter, Nathan; Cohen, Jonathan; Holbert, R. Lance; Morag, Yasmin (24 October 2019). "Fact-Checking: A Meta-Analysis of What Works and for Whom". Political Communication. 37 (3): 350–375. doi:10.1080/10584609.2019.1668894. ISSN 1058-4609. S2CID 210444838.
  27. ^ Porter, Ethan; Wood, Thomas J.; Kirby, David (2018). "Sex Trafficking, Russian Infiltration, Birth Certificates, and Pedophilia: A Survey Experiment Correcting Fake News". Journal of Experimental Political Science. 5 (2): 159–164. doi:10.1017/XPS.2017.32. ISSN 2052-2630.
  28. ^ Holman, Mirya R.; Lay, J. Celeste (2018). "They See Dead People (Voting): Correcting Misperceptions about Voter Fraud in the 2016 U.S. Presidential Election". Journal of Political Marketing. 18 (1–2): 31–68. doi:10.1080/15377857.2018.1478656. S2CID 150282138.
  29. ^ Henry, Emeric; Zhuravskaya, Ekaterina; Guriev, Sergei (2022). "Checking and Sharing Alt-Facts". American Economic Journal: Economic Policy. 14 (3): 55–86. doi:10.1257/pol.20210037. ISSN 1945-7731.
  30. ^ Carnahan, Dustin; Bergan, Daniel E.; Lee, Sangwon (9 January 2020). "Do Corrective Effects Last? Results from a Longitudinal Experiment on Beliefs Toward Immigration in the U.S.". Political Behavior. 43 (3): 1227–1246. doi:10.1007/s11109-020-09591-9. ISSN 1573-6687. S2CID 214096205.
  31. ^ Porter, Ethan; Wood, Thomas J. (14 September 2021). "The global effectiveness of fact-checking: Evidence from simultaneous experiments in Argentina, Nigeria, South Africa, and the United Kingdom". Proceedings of the National Academy of Sciences. 118 (37): e2104235118. Bibcode:2021PNAS..11804235P. doi:10.1073/pnas.2104235118. ISSN 0027-8424. PMC 8449384. PMID 34507996.
  32. ^ Velez, Yamil R.; Porter, Ethan; Wood, Thomas J. (14 February 2023). "Latino-Targeted Misinformation and the Power of Factual Corrections". The Journal of Politics. 85 (2): 789–794. doi:10.1086/722345. ISSN 0022-3816. S2CID 252254129.
  33. ^ Carey, John M.; Guess, Andrew M.; Loewen, Peter J.; Merkley, Eric; Nyhan, Brendan; Phillips, Joseph B.; Reifler, Jason (3 February 2022). "The ephemeral effects of fact-checks on COVID-19 misperceptions in the United States, Great Britain and Canada". Nature Human Behaviour. 6 (2): 236–243. doi:10.1038/s41562-021-01278-3. hdl:10871/128705. ISSN 2397-3374. PMID 35115678. S2CID 246529090.
  34. ^ Batista Pereira, Frederico; Bueno, Natália S.; Nunes, Felipe; Pavão, Nara (2022). "Fake News, Fact Checking, and Partisanship: The Resilience of Rumors in the 2018 Brazilian Elections". The Journal of Politics. 84 (4): 000. doi:10.1086/719419. ISSN 0022-3816. S2CID 252818440.
  35. ^ Nyhan, Brendan; Reifler, Jason (9 January 2015). "Does correcting myths about the flu vaccine work? An experimental evaluation of the effects of corrective information" (PDF). Vaccine. 33 (3): 459–464. doi:10.1016/j.vaccine.2014.11.017. hdl:10871/21566. ISSN 1873-2518. PMID 25499651. S2CID 291822.
  36. ^ Haglin, Kathryn (1 July 2017). "The limitations of the backfire effect". Research & Politics. 4 (3): 2053168017716547. doi:10.1177/2053168017716547. ISSN 2053-1680.
  37. ^ Wood, Thomas; Porter, Ethan (2019). "The Elusive Backfire Effect: Mass Attitudes' Steadfast Factual Adherence". Political Behavior. 41 (1): 135–163. doi:10.1007/s11109-018-9443-y. ISSN 1573-6687. S2CID 151582406.
  38. ^ Nyhan, Brendan; Porter, Ethan; Reifler, Jason; Wood, Thomas J. (21 January 2019). "Taking Fact-Checks Literally But Not Seriously? The Effects of Journalistic Fact-Checking on Factual Beliefs and Candidate Favorability". Political Behavior. 42 (3): 939–960. doi:10.1007/s11109-019-09528-x. hdl:10871/38020. ISSN 1573-6687. S2CID 189913123.
  39. ^ Guess, Andrew; Coppock, Alexander (2018). "Does Counter-Attitudinal Information Cause Backlash? Results from Three Large Survey Experiments". British Journal of Political Science. 50 (4): 1497–1515. doi:10.1017/S0007123418000327. ISSN 0007-1234. S2CID 158335101. Archived from the original on 6 November 2018. Retrieved 5 November 2018.
  40. ^ Nyhan, Brendan (5 November 2016). "Fact-Checking Can Change Views? We Rate That as Mostly True". The New York Times. ISSN 0362-4331. Archived from the original on 6 November 2016. Retrieved 5 November 2016.
  41. ^ Wintersieck, Amanda L. (5 January 2017). "Debating the Truth". American Politics Research. 45 (2): 304–331. doi:10.1177/1532673x16686555. S2CID 157870755.
  42. ^ Nyhan, Brendan; Porter, Ethan; Reifler, Jason; Wood, Thomas J. (n.d.). "Taking Fact-checks Literally But Not Seriously? The Effects of Journalistic Fact-checking on Factual Beliefs and Candidate Favorability" (PDF). Archived (PDF) from the original on 12 December 2018. Retrieved 28 October 2018.
  43. ^ Agadjanian, Alexander; Bakhru, Nikita; Chi, Victoria; Greenberg, Devyn; Hollander, Byrne; Hurt, Alexander; Kind, Joseph; Lu, Ray; Ma, Annie; Nyhan, Brendan; Pham, Daniel (1 July 2019). "Counting the Pinocchios: The effect of summary fact-checking data on perceived accuracy and favorability of politicians". Research & Politics. 6 (3): 2053168019870351. doi:10.1177/2053168019870351. ISSN 2053-1680.
  44. ^ Moshe Benovitz et al., 2012, "Education: The Social Media Revolution: What Does It Mean for Our Children?" Jewish Action (online), 24 August 2012, New York, NY, USA:Orthodox Union, see [2] Archived 5 September 2015 at the Wayback Machine, accessed 28 July 2015.
  45. ^ Rose, Jennifer (January 2020). "To Believe or Not to Believe: an Epistemic Exploration of Fake News, Truth, and the Limits of Knowing". Postdigital Science and Education. 2 (1). Springer: 202–216. doi:10.1007/s42438-019-00068-5.
  46. ^ a b Allcott, Hunt (2017). "Social Media and Fake News in the 2016 Election." The Journal of Economic Perspectives" (PDF). The Journal of Economic Perspectives. 31: 211–235. doi:10.1257/jep.31.2.211. S2CID 32730475. Archived (PDF) from the original on 28 October 2019. Retrieved 2 September 2019 – via JSTOR.
  47. ^ Liu, Huan; Tang, Jiliang; Wang, Suhang; Sliva, Amy; Shu, Kai (7 August 2017), "Fake News Detection on Social Media: A Data Mining Perspective", ACM SIGKDD Explorations Newsletter, arXiv:1708.01967v3, Bibcode:2017arXiv170801967S
  48. ^ a b ShuKai; SlivaAmy; WangSuhang; TangJiliang; LiuHuan (1 September 2017). "Fake News Detection on Social Media". ACM SIGKDD Explorations Newsletter. 19: 22–36. doi:10.1145/3137597.3137600. S2CID 207718082.
  49. ^ Caulfield, Mike; Wineburg, Samuel S. (2023). "Chapter 4: Lateral Reading: Using the Web to Read the Web". Verified: how to think straight, get duped less, and make better decisions about what to believe online. Chicago London: The University of Chicago Press. ISBN 978-0-226-82984-5.
  50. ^ a b c d e f g h i "Here Are The Tools And Methods We Used To Map A Macedonian Fake News Network And The People Behind It". Lead Stories. 17 January 2019. Archived from the original on 6 June 2023. Retrieved 7 January 2024.
  51. ^ Settles, Gabrielle (19 April 2023). "PolitiFact - How to detect deepfake videos like a fact-checker". PolitiFact.
  52. ^ a b c d Evon, Dan (22 March 2022). "Snopes Tips: A Guide To Performing Reverse Image Searches". Snopes. Archived from the original on 7 February 2023. Retrieved 7 January 2024.
  53. ^ a b c d e "How we work". Agence France-Presse. 18 January 2023. Archived from the original on 24 December 2023. Retrieved 7 January 2024.
  54. ^ a b c d e Angus, Daniel; Dootson, Paula; Thomson, T. J. (26 February 2022). "Fake viral footage is spreading alongside the real horror in Ukraine. Here are 5 ways to spot it". The Conversation. Archived from the original on 29 June 2023. Retrieved 7 January 2024.
  55. ^ a b c d e "7 verification tools for better fact-checking". Reuters News Agency. Archived from the original on 25 September 2022. Retrieved 7 January 2024.
  56. ^ a b c d e f g h i j k l "7 key takeaways on information disorder from #ONA19". First Draft News. 18 September 2019. Archived from the original on 3 June 2023. Retrieved 7 January 2024.
  57. ^ a b c Holan, Angie Drobnic (31 March 2022). "PolitiFact - PolitiFact's checklist for thorough fact-checking". PolitiFact. Archived from the original on 1 July 2022. Retrieved 7 January 2024.
  58. ^ a b c "Election Misinformation Symposium" (PDF). Center for Media Engagement. October 2022. Archived from the original (PDF) on 9 December 2022. Retrieved 7 January 2024.
  59. ^ Settles, Gabrielle (19 April 2023). "PolitiFact - How to detect deepfake videos like a fact-checker". PolitiFact.
  60. ^ "Surveillance video does not show Tangshan attack". AFP Hong Kong. 29 June 2022. Retrieved 18 July 2024.
  61. ^ a b "Fact Check: Video Does NOT Show 'Portal' At Miami Mall New Year's Day 2024 -- Edited Video Dates To May 2023". Lead Stories. 10 January 2024. Archived from the original on 28 February 2024. Retrieved 19 July 2024. Lead Stories was not able to locate any earlier versions of this video on Google, Yandex, TinEye, Bing or through the image search of the Chinese internet services company, Baidu.
  62. ^ "Old picture of submerged city in China resurfaces as country's south hit by floods in 2024". Agence France-Presse. 26 June 2024. Archived from the original on 11 July 2024. Retrieved 19 July 2024.
  63. ^ a b Mahadevan, Alex (22 December 2021). "These 6 tips will help you spot misinformation online". Poynter Institute. Archived from the original on 26 March 2023. Retrieved 7 January 2024.
  64. ^ Nyariki, Enock (12 December 2023). "Climate grant winners use innovative formats for fact-checking". Poynter Institute. Archived from the original on 21 December 2023. Retrieved 7 January 2024.
  65. ^ a b "The Toxic Ten: How ten fringe publishers fuel 69% of digital climate change denial" (PDF). Center for Countering Digital Hate. November 2021. Archived from the original (PDF) on 15 December 2022. Retrieved 7 January 2024.
  66. ^ a b "Troll farms from North Macedonia and the Philippines pushed coronavirus disinformation on Facebook". NBC News. 29 May 2020. Archived from the original on 10 May 2023. Retrieved 7 January 2024.
  67. ^ a b c "Bogus fact-checking site amplified by dozens of Indian embassies on social media". Digital Forensic Research Lab. 27 May 2021. Archived from the original on 31 March 2023. Retrieved 7 January 2024.
  68. ^ a b Balint, Kata; Arcostanzo, Francesca; Wildon, Jordan; Reyes, Kevin (20 July 2022). "RT Articles are Finding their Way to European Audiences – but how?". Institute for Strategic Dialogue. Archived from the original on 8 November 2023. Retrieved 7 January 2024.
  69. ^ a b Davidson, Renee; Jeffery, Eiddwen; Chan, Esther; Kruger, Dr Anne (13 December 2023). "Call to action: A postmortem on fact-checking and media efforts countering Voice misinformation". RMIT University. Archived from the original on 28 December 2023. Retrieved 7 January 2024.
  70. ^ Mahadevan, Alex; Funke, Daniel (18 May 2020). "Fact-checking a California reopen protest video". Poynter Institute. Archived from the original on 24 December 2022. Retrieved 7 January 2024.
  71. ^ "Deny, Deceive, Delay (Vol. 2): Exposing New Trends in Climate Mis- and Disinformation at COP27" (PDF). Institute for Strategic Dialogue. Archived from the original (PDF) on 1 May 2023. Retrieved 7 January 2024.
  72. ^ LaForme, Ren (22 March 2021). "Four digital tools that got me through the pandemic". Poynter Institute. Archived from the original on 11 October 2023. Retrieved 7 January 2024.
  73. ^ "These are the fake health news that went viral in 2019". NBC News. 29 December 2019. Archived from the original on 14 June 2023. Retrieved 7 January 2024.
  74. ^ Guess, Andrew (9 January 2018). "Selective Exposure to Misinformation: Evidence from the consumption of fake news during the 2016 U.S. presidential campaign" (PDF). Dartmouth. Archived (PDF) from the original on 23 February 2019. Retrieved 5 March 2019.
  75. ^ Allcott, Hunt (October 2018). "Trends in the Diffusion of Misinformation on Social Media" (PDF). Stanford. Archived (PDF) from the original on 28 July 2019. Retrieved 5 March 2019.
  76. ^ "The online information environment" (PDF). Retrieved 21 February 2022.
  77. ^ Islam, Md Rafiqul; Liu, Shaowu; Wang, Xianzhi; Xu, Guandong (29 September 2020). "Deep learning for misinformation detection on online social networks: a survey and new perspectives". Social Network Analysis and Mining. 10 (1): 82. doi:10.1007/s13278-020-00696-x. ISSN 1869-5469. PMC 7524036. PMID 33014173.
  78. ^ Mohseni, Sina; Ragan, Eric (4 December 2018). "Combating Fake News with Interpretable News Feed Algorithms". arXiv:1811.12349 [cs.SI].
  79. ^ Hao, Karen. "AI is still terrible at spotting fake news". MIT Technology Review. Retrieved 6 March 2019.
  80. ^ "New MIT Sloan research measures exposure to misinformation from political elites on Twitter". AP NEWS. 29 November 2022. Retrieved 18 December 2022.
  81. ^ Mosleh, Mohsen; Rand, David G. (21 November 2022). "Measuring exposure to misinformation from political elites on Twitter". Nature Communications. 13 (1): 7144. Bibcode:2022NatCo..13.7144M. doi:10.1038/s41467-022-34769-6. ISSN 2041-1723. PMC 9681735. PMID 36414634.
  82. ^ a b c Zewe, Adam. "Empowering social media users to assess content helps fight misinformation". Massachusetts Institute of Technology via techxplore.com. Retrieved 18 December 2022.
  83. ^ Jahanbakhsh, Farnaz; Zhang, Amy X.; Karger, David R. (11 November 2022). "Leveraging Structured Trusted-Peer Assessments to Combat Misinformation". Proceedings of the ACM on Human-Computer Interaction. 6 (CSCW2): 524:1–524:40. doi:10.1145/3555637. hdl:1721.1/147638.
  84. ^ Elliott, Matt. "Fake news spotter: How to enable Microsoft Edge's NewsGuard". CNET. Retrieved 9 January 2023.
  85. ^ "12 Browser Extensions to Help You Detect and Avoid Fake News". The Trusted Web. 18 March 2021. Retrieved 9 January 2023.
  86. ^ Elizabeth, Jane. "No cake on International Fact-Checking Day. Celebrate by correcting fake news". USA Today.
  87. ^ "How the world celebrated the third International Fact-Checking Day". Poynter. 9 April 2019.
  88. ^ "Don't be fooled: Third annual International Fact-Checking Day empowers citizens around the world to sort fact from fiction". Poynter. 2 April 2019.
  89. ^ Nyhan, Brendan; Reifler, Jason (2010). "When Corrections Fail: The Persistence of Political Misperceptions". Political Behavior. 32 (2): 303–330. doi:10.1007/s11109-010-9112-2. ISSN 0190-9320.
  90. ^ Swire-Thompson, Briony; DeGutis, Joseph; Lazer, David (2020). "Searching for the backfire effect: Measurement and design considerations". Journal of Applied Research in Memory and Cognition. 9 (3): 286–299. doi:10.1016/j.jarmac.2020.06.006. ISSN 2211-369X. PMC 7462781. PMID 32905023.
  91. ^ Diaz Ruiz, Carlos; Nilsson, Tomas (2023). "Disinformation and Echo Chambers: How Disinformation Circulates on Social Media Through Identity-Driven Controversies". Journal of Public Policy & Marketing. 42 (1): 18–35. doi:10.1177/07439156221103852. ISSN 0743-9156.
  92. ^ Diaz Ruiz, Carlos (27 June 2022). "I watched hundreds of flat-Earth videos to learn how conspiracy theories spread – and what it could mean for fighting disinformation". The Conversation. Retrieved 31 August 2024.
  93. ^ Soave, Robby (29 July 2022). "Facebook, Instagram Posts Flagged as False for Rejecting Biden's Recession Wordplay". reason.com. Reason. Retrieved 1 August 2022.
  94. ^ "Political Fact-Checking Under Fire". NPR.org. Archived from the original on 16 August 2018. Retrieved 19 January 2020.
  95. ^ Reports, Rasmussen. "Voters Don't Trust Media Fact-Checking – Rasmussen Reports". Archived from the original on 12 October 2016. Retrieved 17 October 2016.
  96. ^ Lejeune, Tristan (30 September 2016). "Poll: Voters don't trust media fact-checkers". Archived from the original on 4 October 2016. Retrieved 17 October 2016.
  97. ^ a b "Selective Exposure to Misinformation: Evidence from the consumption of fake news during the 2016 U.S. presidential campaign" (PDF). Archived (PDF) from the original on 2 January 2018.
  98. ^ a b c d e f g h Moshirnia, Andrew (2020). "Who Will Check the Checkers? False Factcheckers and Memetic Misinformation". Utah Law Review. 2020 (4): 1029–1073. ISSN 0042-1448. Archived from the original on 13 July 2023.
  99. ^ "Facebook reverses course, won't ban lab virus theory". news.yahoo.com.
  100. ^ a b c Clarke, Laurie (25 May 2021). "Covid-19: Who fact checks health and science on Facebook?". BMJ. 373: n1170. doi:10.1136/bmj.n1170. ISSN 1756-1833. PMID 34035038. S2CID 235171859.
  101. ^ "Facebook reverses ban on posts claiming Covid-19 came from Chinese lab". South China Morning Post. 28 May 2021.
  102. ^ "Facebook's reversal on banning claims that covid-19 is man-made could unleash more anti-Asian sentiment". The Washington Post.
  103. ^ Kessler, Glenn (25 May 2021). "Timeline: How the Wuhan lab-leak theory suddenly became credible". The Washington Post. Retrieved 30 May 2021.
  104. ^ Leonhardt, David (27 May 2021). "The Lab-Leak Theory". The New York Times.
  105. ^ Smith, Ben (26 April 2021). "Is an Activist's Pricey House News? Facebook Alone Decides". The New York Times.
  106. ^ Horwitz, Robert McMillan and Jeff (15 October 2020). "Facebook, Twitter Limit Sharing of New York Post Articles That Biden Disputes". The Wall Street Journal.
  107. ^ "New House GOP Wuhan lab report discredits Facebook 'fact checkers' that censored COVID origin claims". FOXBusiness. 24 May 2021.
  108. ^ Shirazi, Nima; Johnson, Adam (17 July 2019). "Episode 83: The Unchecked Conservative Ideology of US Media's 'Fact-Check' Verticals". Citations Needed (Medium). Archived from the original on 4 May 2021. Retrieved 12 January 2024.
  109. ^ Teubner, Jonathan; Gleason, Paul (14 November 2023). "You Can't Fact Check Propaganda". The Hedgehog Review. Archived from the original on 23 November 2023. Retrieved 12 January 2024.
  110. ^ Levin, Sam (13 December 2018). "'They don't care': Facebook factchecking in disarray as journalists push to cut ties". The Guardian. ISSN 0261-3077. Archived from the original on 13 December 2018. Retrieved 12 January 2024.
  111. ^ Levin, Sam (18 April 2019). "Facebook teams with rightwing Daily Caller in factchecking program". The Guardian. ISSN 0261-3077. Archived from the original on 3 January 2024. Retrieved 12 January 2024.
  112. ^ Thompson, Nicholas. "15 Months of Fresh Hell Inside Facebook". Wired. ISSN 1059-1028. Archived from the original on 3 December 2023. Retrieved 12 January 2024.
  113. ^ "Facebook launches a news section — and will pay publishers". Los Angeles Times (via Associated Press). 25 October 2019. Archived from the original on 4 October 2022. Retrieved 12 January 2024.
  114. ^ Myers, Steven Lee; Grant, Nico (14 February 2023). "Combating Disinformation Wanes at Social Media Giants". The New York Times. ISSN 0362-4331. Archived from the original on 4 December 2023. Retrieved 12 January 2024.
  115. ^ Field, Hayden; Vanian, Jonathan (26 May 2023). "Tech layoffs ravage the teams that fight online misinformation and hate speech". CNBC. Archived from the original on 28 May 2023. Retrieved 12 January 2024.
  116. ^ "Under Elon Musk, X is denying API access to academics who study misinformation". Fast Company. 27 February 2024. Archived from the original on 28 February 2024. Retrieved 2 March 2024.
  117. ^ Harding, Scharon (4 September 2023). "Reddit faces content quality concerns after its Great Mod Purge". Ars Technica. Archived from the original on 2 February 2024. Retrieved 2 March 2024.
  118. ^ Paul, Kari (20 June 2023). "TechScape: After a brutal blackout, will Reddit ever be the same?". The Guardian. ISSN 0261-3077. Archived from the original on 29 February 2024. Retrieved 2 March 2024.
  119. ^ Hsu, Tiffany; Thompson, Stuart A. (29 September 2023). "Fact Checkers Take Stock of Their Efforts: 'It's Not Getting Better'". The New York Times. ISSN 0362-4331. Archived from the original on 23 November 2023. Retrieved 12 January 2024.
  120. ^ Bélair-Gagnon, Valérie; Larsen, Rebekah; Graves, Lucas; Westlund, Oscar. "Knowledge Work in Platform Fact-Checking Partnerships". International Journal of Communication. 17 (2023): 1169–1189. Archived from the original on 5 October 2023.
  121. ^ "Fact-checkers harassed on social networks". Reporters Without Borders. 28 September 2018. Archived from the original on 25 April 2023. Retrieved 12 January 2024.
  122. ^ Smalley, Seth (6 April 2022). "Fact-checkers around the world share their experiences with harassment". Poynter. Archived from the original on 28 March 2023. Retrieved 12 January 2024.
  123. ^ Mantas, Harrison (17 February 2021). "Fact-checkers score wins in court, but the threat of legal harassment remains". Poynter. Archived from the original on 25 December 2022. Retrieved 12 January 2024.
  124. ^ Örsek, Baybars (13 July 2021). "IFCN launches working group to address harassment against fact-checkers". Poynter. Archived from the original on 1 December 2023. Retrieved 12 January 2024.
  125. ^ Cheung, Rachel. "Russia-Ukraine war: In Chinese media, the US is the villain". Al Jazeera. Retrieved 29 April 2024.
  126. ^ Liu, Yusi; Zhou, Ruiming (13 September 2022). ""Let's Check it Seriously": Localizing Fact-Checking Practice in China". International Journal of Communication. 16: 23. ISSN 1932-8036.
  127. ^ Fang, Kecheng (12 April 2022), Wasserman, Herman; Madrid-Morales, Dani (eds.), ""Rumor-Debunking" as a Propaganda and Censorship Strategy in China: The Case of the COVID -19 Outbreak", Disinformation in the Global South (1 ed.), Wiley, pp. 108–122, doi:10.1002/9781119714491.ch8, ISBN 978-1-119-71444-6, retrieved 29 April 2024
  128. ^ a b c d e f g Harrison Smith, Sarah (2004). The Fact Checker's Bible: A Guide to Getting it Right. New York: Anchor Books. pp. 8–12. ISBN 0385721064. OCLC 53919260.
  129. ^ "The Story Behind the First-Ever Fact-Checkers". Time. Archived from the original on 16 January 2020. Retrieved 19 January 2020.
  130. ^ Southern, Lucinda (15 August 2017). "Inside Spiegel's 70-person fact-checking team". Digiday. Retrieved 20 November 2021.
  131. ^ "An Interview With Susan Choi". Archived from the original on 18 February 2001. Retrieved 18 November 2006.{{cite web}}: CS1 maint: bot: original URL status unknown (link)
  132. ^ "CNN.com – Transcripts". CNN. 1 June 2006. Archived from the original on 29 June 2011. Retrieved 18 October 2011.
  133. ^ "William Gaddis (American author)". Britannica.com. Archived from the original on 5 May 2008. Retrieved 18 October 2011.
  134. ^ Skurnick, Lizzie. "Content". Mediabistro.com. Archived from the original on 28 September 2011. Retrieved 18 October 2011.
  135. ^ "Hodge, Roger D." Archived from the original on 8 March 2007. Retrieved 18 November 2006.{{cite web}}: CS1 maint: bot: original URL status unknown (link)
  136. ^ Kirkpatrick, David D. "David Kirkpatrick". The New York Times. Archived from the original on 16 June 2013. Retrieved 15 June 2013.
  137. ^ "Sean Wilsey – About Sean Wilsey – Penguin Group". Us.penguingroup.com. Archived from the original on 27 September 2011. Retrieved 18 October 2011.[verification needed]

Further reading

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