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.
Research suggests that fact-checking can indeed correct perceptions among citizens, as well as discourage politicians from spreading false or misleading claims. However, corrections may decay over time or be overwhelmed by cues from elites who promote less accurate claims. Political fact-checking is sometimes criticized as being opinion journalism.
Contents
History of fact-checking
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. 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
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, and the concept grew in relevance and spread to various other countries during the 2010s.
Post hoc fact-checking
External post hoc fact-checking by independent organizations began in the United States in the early 2000s. 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.
Consistency across fact-checking organizations
One 2016 study finds that fact-checkers PolitiFact, FactCheck.org, and The Washington Post's Fact Checker overwhelmingly agree on their evaluations of claims. A 2018 paper found little overlap in the statements checked by different fact-checking organizations. 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. For those 77 statements, the fact-checking organizations gave the same ratings for 49 statements and similar ratings for 22, about 92% agreement.
Choice of which statements to check
Different fact-checking organizations have shown different tendencies in their choice of which statements they publish fact-checks about. 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.
Effects
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.
Studies have shown that fact-checking can affect citizens' belief in the accuracy of claims made in political advertisement. 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. 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."
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". A Dartmouth study led by Brendan Nyhan found that Facebook tags had a greater impact than the Yale study found. 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%. A 2019 study found that the "disputed" tag reduced Facebook users' intentions to share a fake news story. 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. 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.
Informal fact-checking
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....
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".
Detecting 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. 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. 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. 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.
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
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. 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. 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.
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.
Digital tools and services commonly used by fact-checkers include, but are not limited to:
Reverse image search engines (Google Images, TinEye, Bing Image Search, Baidu Image Search, Yandex Image Search)
Archiving services (Internet Archive, Archive.today, Perma.cc)
Encyclopedias (Wikipedia)
Web analytics platforms (Similarweb)
Image and video analysis tools (InVID, FotoForensics)
Domain registration information (DomainTools, DomainBigData, WHOIS.com)
General search engines (Google Search)
Web mapping platforms (Google Maps, Google Street View, Google Earth, Yandex Maps)
Limitations and controversies
Research has shown that fact-checking has limits, and can even backfire, which is when a correction increases the belief in the misconception. 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." In other words "while news articles can be fact-checked, personal beliefs cannot."
Critics argue that political fact-checking is increasingly used as opinion journalism. 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. 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."
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. 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%)."
Deceptive websites that pose as fact-checkers have also been used to promote disinformation; this tactic has been used by both Russia and Turkey.
During the COVID-19 pandemic, Facebook announced it would "remove false or debunked claims about the novel coronavirus which created a global pandemic", based on its fact-checking partners, collectively known as the International Fact-Checking Network. In 2021, Facebook reversed its ban on posts speculating the COVID-19 disease originated from Chinese labs, 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." 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. 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."
Pre-publication fact-checking
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.
Fact-checkers verify that the names, dates, and facts in an article or book are correct. 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
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, though they were not originally called "fact-checkers". Fact-checkers may be aspiring writers, future editors, or freelancers engaged other projects; others are career professionals.
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.
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 and the fact-checking department of the German weekly magazine Der Spiegel counted 70 staff in 2017. Others may hire freelancers per piece or may combine fact-checking with other duties. Magazines are more likely to use fact-checkers than newspapers. 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.
Checking original reportage
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."
Alumni of the role
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:



