Editing Fact-checking (section)

=== Fake news and social media ===
{{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.<ref name=":0">{{Cite journal|last1=ShuKai|last2=SlivaAmy|last3=WangSuhang|last4=TangJiliang|last5=LiuHuan|date=2017-09-01|title=Fake News Detection on Social Media|journal=ACM SIGKDD Explorations Newsletter|volume=19|pages=22–36|language=EN|doi=10.1145/3137597.3137600|s2cid=207718082}}</ref> 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.<ref name=":0" /> 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 <!-- Only <5 yr old sources in this section? -->====
{{See also|Open-source intelligence|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.<ref>{{Cite book |last1=Caulfield |first1=Mike |title=Verified: how to think straight, get duped less, and make better decisions about what to believe online |last2=Wineburg |first2=Samuel S. |date=2023 |publisher=The University of Chicago Press |isbn=978-0-226-82984-5 |location=Chicago & London |chapter= 4: Lateral Reading: Using the Web to Read the Web}}</ref>

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

* [[Reverse image search]] engines ([[Google Images]],<ref name=":10">{{Cite web |date=2019-01-17 |title=Here Are The Tools And Methods We Used To Map A Macedonian Fake News Network And The People Behind It |url=https://hoax-alert.leadstories.com/3470107-here-are-the-tools-and-methods-we-used-to-map-a-macedonian-fake-news-network-and-the-people-behind-i.html |archive-url=https://web.archive.org/web/20230606022931/https://leadstories.com/hoax-alert/2019/01/here-are-the-tools-and-methods-we-used-to-map-a-macedonian-fake-news-network-and-the-people-behind-i.html |archive-date=2023-06-06 |access-date=2024-01-07 |website=Lead Stories |language=en-US}}</ref><ref name=":112">{{Cite web |last=Settles |first=Gabrielle |date=April 19, 2023 |title=How to detect deepfake videos like a fact-checker |url=https://www.politifact.com/article/2023/apr/19/how-to-detect-deepfake-videos-like-a-fact-checker/ |archive-url= |archive-date= |access-date= |website=[[PolitiFact]] |language=en-US}}</ref><ref name=":13">{{Cite web |last=Evon |first=Dan |date=2022-03-22 |title=Snopes Tips: A Guide To Performing Reverse Image Searches |url=https://www.snopes.com/articles/400681/how-to-perform-reverse-image-searches/ |url-status=live |archive-url=https://web.archive.org/web/20230207012420/https://www.snopes.com/articles/400681/how-to-perform-reverse-image-searches/?collection-id=385915 |archive-date=2023-02-07 |access-date=2024-01-07 |website=[[Snopes]] |language=en}}</ref><ref name=":15">{{Cite web |date=2023-01-18 |title=How we work |url=https://factcheck.afp.com/how-we-work |archive-url=https://web.archive.org/web/20231224230855/https://factcheck.afp.com/how-we-work |archive-date=2023-12-24 |access-date=2024-01-07 |website=[[Agence France-Presse]] |language=en}}</ref><ref name=":17">{{Cite web |last1=Angus |first1=Daniel |last2=Dootson |first2=Paula |last3=Thomson |first3=T. J. |date=2022-02-26 |title=Fake viral footage is spreading alongside the real horror in Ukraine. Here are 5 ways to spot it |url=http://theconversation.com/fake-viral-footage-is-spreading-alongside-the-real-horror-in-ukraine-here-are-5-ways-to-spot-it-177921 |archive-url=https://web.archive.org/web/20230629194804/https://theconversation.com/fake-viral-footage-is-spreading-alongside-the-real-horror-in-ukraine-here-are-5-ways-to-spot-it-177921 |archive-date=2023-06-29 |access-date=2024-01-07 |website=[[The Conversation (website)|The Conversation]] |language=en-US}}</ref><ref name=":14">{{Cite web |title=7 verification tools for better fact-checking |url=https://www.reutersagency.com/en/reuters-community/7-verification-tools-for-better-fact-checking/ |archive-url=https://web.archive.org/web/20220925171722/https://www.reutersagency.com/en/reuters-community/7-verification-tools-for-better-fact-checking/ |archive-date=2022-09-25 |access-date=2024-01-07 |website=[[Reuters|Reuters News Agency]] |language=en-US}}</ref><ref name=":16">{{Cite web |last= |date=2019-09-18 |title=7 key takeaways on information disorder from #ONA19 |url=https://firstdraftnews.org/articles/7-key-takeaways-on-information-disorder-from-ona19/ |archive-url=https://web.archive.org/web/20230603080221/https://firstdraftnews.org/articles/7-key-takeaways-on-information-disorder-from-ona19/ |archive-date=2023-06-03 |access-date=2024-01-07 |website=[[First Draft News]] |language=en-US}}</ref> [[TinEye]],<ref name=":13" /><ref name=":17" /><ref name=":18">{{Cite web |last=Holan |first=Angie Drobnic |date=March 31, 2022 |title=PolitiFact's checklist for thorough fact-checking |url=https://www.politifact.com/article/2022/mar/31/politifacts-checklist-thorough-fact-checking/ |url-status=live |archive-url=https://web.archive.org/web/20220701130937/https://www.politifact.com/article/2022/mar/31/politifacts-checklist-thorough-fact-checking/ |archive-date=2022-07-01 |access-date=2024-01-07 |website=[[PolitiFact]] |language=en-US}}</ref><ref name=":19">{{Cite web |date=October 2022 |title=Election Misinformation Symposium |url=https://mediaengagement.org/wp-content/uploads/2022/10/Center-for-Media-Engagement-Election-Misinformation-Symposium.pdf |archive-url=https://web.archive.org/web/20221209044610/https://mediaengagement.org/wp-content/uploads/2022/10/Center-for-Media-Engagement-Election-Misinformation-Symposium.pdf |archive-date=2022-12-09 |access-date=2024-01-07 |website=[[University of Texas at Austin|Center for Media Engagement]]}}</ref><ref name=":113">{{Cite web |last=Settles |first=Gabrielle |date=April 19, 2023 |title=How to detect deepfake videos like a fact-checker |url=https://www.politifact.com/article/2023/apr/19/how-to-detect-deepfake-videos-like-a-fact-checker/ |archive-url= |archive-date= |access-date= |website=[[PolitiFact]] |language=en-US}}</ref><ref name=":14" /><ref name=":16" /> [[Microsoft Bing|Bing Image Search]],<ref name=":13" /> [[Baidu|Baidu Image Search]]<ref>{{Cite web |date=2022-06-29 |title=Surveillance video does not show Tangshan attack |url=https://factcheck.afp.com/doc.afp.com.32DB2ET |archive-url= |archive-date= |access-date=2024-07-18 |website=AFP Hong Kong |language=en}}</ref>{{Synthesis inline|date=July 2024|reason=Just states it was used once, does not say 'commonly used' in the source and is not necessarily being recommended for use by the authors of AFP Hong Kong}},<ref name=":11">{{Cite web |date=2024-01-10 |title=Fact Check: Video Does NOT Show 'Portal' At Miami Mall New Year's Day 2024 – Edited Video Dates To May 2023 |url=https://leadstories.com/hoax-alert/2024/01/fact-check-video-does-not-show-portal-at-miami-mall-new-years-day-2024-edited-video-dates-back-to-may-2023.html |archive-url=https://web.archive.org/web/20240228202523/https://leadstories.com/hoax-alert/2024/01/fact-check-video-does-not-show-portal-at-miami-mall-new-years-day-2024-edited-video-dates-back-to-may-2023.html |archive-date=2024-02-28 |access-date=2024-07-19 |website=Lead Stories |language=en-US |quote=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.}}</ref><ref>{{Cite web |date=2024-06-26 |title=Old picture of submerged city in China resurfaces as country's south hit by floods in 2024 |url=https://factcheck.afp.com/doc.afp.com.34YV3HB |archive-url=https://web.archive.org/web/20240711055821/https://factcheck.afp.com/doc.afp.com.34YV3HB |archive-date=2024-07-11 |access-date=2024-07-19 |website=[[Agence France-Presse]]}}</ref> [[Yandex Search|Yandex Image Search]]<ref name=":13" /><ref name=":14" /><ref name=":11" />{{Needs update|date=July 2024}})
* Archiving services ([[Internet Archive]],<ref name=":10" /><ref name=":15" /><ref name=":16" /><ref name=":18" /><ref name=":19" /><ref name=":26">{{Cite web |last=Mahadevan |first=Alex |date=2021-12-22 |title=These 6 tips will help you spot misinformation online |url=https://www.poynter.org/fact-checking/2021/these-6-tips-will-help-you-spot-misinformation-online/ |archive-url=https://web.archive.org/web/20230326035437/https://www.poynter.org/fact-checking/2021/these-6-tips-will-help-you-spot-misinformation-online/ |archive-date=2023-03-26 |access-date=2024-01-07 |website=[[Poynter Institute]] |language=en-US}}</ref> [[Archive.today]],<ref name=":10" /><ref name=":16" /> [[Perma.cc]]<ref name=":15" />)
* Encyclopedias ([[Wikipedia]]<ref name=":16" /><ref>{{Cite web |last=Nyariki |first=Enock |date=2023-12-12 |title=Climate grant winners use innovative formats for fact-checking |url=https://www.poynter.org/ifcn/2023/climate-grant-winners-use-innovative-formats-for-fact-checking/ |archive-url=https://web.archive.org/web/20231221130522/https://www.poynter.org/ifcn/2023/climate-grant-winners-use-innovative-formats-for-fact-checking/ |archive-date=2023-12-21 |access-date=2024-01-07 |website=[[Poynter Institute]] |language=en-US}}</ref>)
* [[Web analytics]] platforms ([[Similarweb]]<ref name=":21">{{Cite web |date=November 2021 |title=The Toxic Ten: How ten fringe publishers fuel 69% of digital climate change denial |url=https://counterhate.com/wp-content/uploads/2021/11/211101-Toxic-Ten-Report-FINAL-V2.5.pdf |archive-url=https://web.archive.org/web/20221215180708/https://counterhate.com/wp-content/uploads/2021/11/211101-Toxic-Ten-Report-FINAL-V2.5.pdf |archive-date=2022-12-15 |access-date=2024-01-07 |website=[[Center for Countering Digital Hate]]}}</ref><ref name=":25">{{Cite web |date=2020-05-29 |title=Troll farms from North Macedonia and the Philippines pushed coronavirus disinformation on Facebook |url=https://www.nbcnews.com/tech/tech-news/troll-farms-macedonia-philippines-pushed-coronavirus-disinformation-facebook-n1218376 |archive-url=https://web.archive.org/web/20230510045726/https://www.nbcnews.com/tech/tech-news/troll-farms-macedonia-philippines-pushed-coronavirus-disinformation-facebook-n1218376 |archive-date=2023-05-10 |access-date=2024-01-07 |website=[[NBC News]] |language=en}}</ref>)
* Image and video analysis tools ([[InVID Project|InVID]],<ref name=":15" /><ref name=":17" /><ref name=":16" /><ref name=":18" /> FotoForensics<ref name=":16" /><ref name=":19" />)
* Domain registration information ([[DomainTools]],<ref name=":10" /><ref name=":16" /><ref name=":24">{{Cite web |last= |date=2021-05-27 |title=Bogus fact-checking site amplified by dozens of Indian embassies on social media |url=https://medium.com/dfrlab/bogus-fact-checking-site-amplified-by-dozens-of-indian-embassies-on-social-media-7b4b31004699 |url-status=live |archive-url=https://web.archive.org/web/20230331205407/https://medium.com/dfrlab/bogus-fact-checking-site-amplified-by-dozens-of-indian-embassies-on-social-media-7b4b31004699 |archive-date=2023-03-31 |access-date=2024-01-07 |website=[[Atlantic Council|Digital Forensic Research Lab]] |language=en}}</ref> DomainBigData,<ref name=":10" /><ref name=":16" /><ref name=":24" /> WHOIS.com<ref name=":10" />)
* General [[List of search engines|search engines]] ([[Google Search]]<ref name=":10" /><ref name=":20">{{Cite web |last1=Balint |first1=Kata |last2=Arcostanzo |first2=Francesca |last3=Wildon |first3=Jordan |last4=Reyes |first4=Kevin |date=2022-07-20 |title=RT Articles are Finding their Way to European Audiences – but how? |url=https://www.isdglobal.org/digital_dispatches/rt-articles-are-finding-their-way-to-european-audiences-but-how/ |archive-url=https://web.archive.org/web/20231108122251/https://www.isdglobal.org/digital_dispatches/rt-articles-are-finding-their-way-to-european-audiences-but-how/ |archive-date=2023-11-08 |access-date=2024-01-07 |website=[[Institute for Strategic Dialogue]] |language=en-GB}}</ref><ref name=":22">{{Cite web |last1=Davidson |first1=Renee |last2=Jeffery |first2=Eiddwen |last3=Chan |first3=Esther |last4=Kruger |first4=Dr Anne |date=2023-12-13 |title=Call to action: A postmortem on fact-checking and media efforts countering Voice misinformation |url=https://www.rmit.edu.au/news/crosscheck/countering-voice-misinformation |archive-url=https://web.archive.org/web/20231228215218/https://www.rmit.edu.au/news/crosscheck/countering-voice-misinformation |archive-date=2023-12-28 |access-date=2024-01-07 |website=[[RMIT University]] |language=en}}</ref>)
* Web mapping platforms ([[Google Maps]],<ref name=":17" /><ref>{{Cite web |last1=Mahadevan |first1=Alex |last2=Funke |first2=Daniel |date=2020-05-18 |title=Fact-checking a California reopen protest video |url=https://www.poynter.org/fact-checking/2020/fact-checking-a-california-reopen-protest-video/ |archive-url=https://web.archive.org/web/20221224190649/https://www.poynter.org/fact-checking/2020/fact-checking-a-california-reopen-protest-video/ |archive-date=2022-12-24 |access-date=2024-01-07 |website=[[Poynter Institute]] |language=en-US}}</ref> [[Google Street View]],<ref name=":15" /><ref name=":14" /> [[Google Earth]],<ref name=":17" /><ref name=":26" /> [[Yandex Maps]]<ref name=":14" />{{Needs update|date=July 2024}})
* [[Social media monitoring]] platforms ([[CrowdTangle]],<ref name=":10" /><ref name=":16" /><ref name=":20" /><ref name=":21" /><ref name=":22" /><ref>{{Cite web |title=Deny, Deceive, Delay (Vol. 2): Exposing New Trends in Climate Mis- and Disinformation at COP27 |url=https://www.isdglobal.org/wp-content/uploads/2023/01/Deny-Deceive-Delay-Vol.-2.pdf |archive-url=https://web.archive.org/web/20230501120804/https://www.isdglobal.org/wp-content/uploads/2023/01/Deny-Deceive-Delay-Vol.-2.pdf |archive-date=2023-05-01 |access-date=2024-01-07 |website=[[Institute for Strategic Dialogue]]}}</ref>{{Update needed|date=July 2024}} [[TweetDeck]],<ref name=":16" /><ref>{{Cite web |last=LaForme |first=Ren |date=2021-03-22 |title=Four digital tools that got me through the pandemic |url=https://www.poynter.org/tech-tools/2021/four-digital-tools-that-got-me-through-the-pandemic/ |archive-url=https://web.archive.org/web/20231011143821/https://www.poynter.org/tech-tools/2021/four-digital-tools-that-got-me-through-the-pandemic/ |archive-date=2023-10-11 |access-date=2024-01-07 |website=[[Poynter Institute]] |language=en-US}}</ref>{{Update needed|date=July 2024}} [[BuzzSumo]]<ref name=":10" /><ref name=":16" /><ref name=":24" /><ref>{{Cite web |date=2019-12-29 |title=These are the fake health news that went viral in 2019 |url=https://www.nbcnews.com/news/us-news/social-media-hosted-lot-fake-health-news-year-here-s-n1107466 |archive-url=https://web.archive.org/web/20230614024217/https://www.nbcnews.com/news/us-news/social-media-hosted-lot-fake-health-news-year-here-s-n1107466 |archive-date=2023-06-14 |access-date=2024-01-07 |website=[[NBC News]] |language=en}}</ref><ref name=":25" />{{Update needed|date=July 2024}})

==== Ongoing research in fact-checking and detecting fake news ====
{{See also|Misinformation#Countermeasures|Argument technology}}
Since the [[2016 United States presidential election]], fake news has been a popular topic of discussion by President [[Donald Trump|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.<ref>{{cite news|url=https://www.dartmouth.edu/~nyhan/fake-news-2016.pdf|title=Selective Exposure to Misinformation: Evidence from the consumption of fake news during the 2016 U.S. presidential campaign|last=Guess|first=Andrew|date=9 January 2018|newspaper=Dartmouth|access-date=5 March 2019|archive-url=https://web.archive.org/web/20190223155230/https://www.dartmouth.edu/~nyhan/fake-news-2016.pdf|archive-date=23 February 2019|url-status=live}}</ref> 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 University|Stanford]], [[New York University|NYU]], and [[National Bureau of Economic Research|NBER]] found evidence to show how engagement with fake news on Facebook and Twitter was high throughout 2016.<ref>{{Cite web|url=https://web.stanford.edu/~gentzkow/research/fake-news-trends.pdf|title=Trends in the Diffusion of Misinformation on Social Media|last=Allcott|first=Hunt|date=October 2018|publisher=Stanford|access-date=5 March 2019|archive-url=https://web.archive.org/web/20190728160530/https://web.stanford.edu/~gentzkow/research/fake-news-trends.pdf|archive-date=28 July 2019|url-status=live}}</ref>

Recently, a lot of work has gone into helping detect and identify fake news through [[machine learning]] and artificial intelligence.<ref name="onlenv">{{cite web |title=The online information environment |url=https://royalsociety.org/-/media/policy/projects/online-information-environment/the-online-information-environment.pdf |access-date=21 February 2022}}</ref><ref>{{cite journal |last1=Islam |first1=Md Rafiqul |last2=Liu |first2=Shaowu |last3=Wang |first3=Xianzhi |last4=Xu |first4=Guandong |title=Deep learning for misinformation detection on online social networks: a survey and new perspectives |journal=Social Network Analysis and Mining |date=29 September 2020 |volume=10 |issue=1 |page=82 |doi=10.1007/s13278-020-00696-x |pmid=33014173 |pmc=7524036 |language=en |issn=1869-5469}}</ref><ref>{{Cite arXiv|last1=Mohseni |first1=Sina |last2=Ragan |first2=Eric |title=Combating Fake News with Interpretable News Feed Algorithms |date=4 December 2018|class=cs.SI |eprint=1811.12349 }}</ref> In 2018, researchers at [[MIT Computer Science and Artificial Intelligence Laboratory|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.<ref>{{Cite web|url=https://www.technologyreview.com/s/612236/even-the-best-ai-for-spotting-fake-news-is-still-terrible/|title=AI is still terrible at spotting fake news|last=Hao|first=Karen|website=MIT Technology Review|language=en|access-date=6 March 2019}}</ref> 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|date=March 2020}}

In 2022, researchers have also demonstrated the feasibility of falsity scores for popular and official figures by developing such for over 800 contemporary [[elite]]s on [[Twitter]] as well as associated exposure scores.<ref>{{cite news |title=New MIT Sloan research measures exposure to misinformation from political elites on Twitter |url=https://apnews.com/press-release/pr-newswire/misinformation-701fb46656eb2197a845f789857d83b2 |access-date=18 December 2022 |work=AP News |date=29 November 2022 |language=en}}</ref><ref>{{cite journal |last1=Mosleh |first1=Mohsen |last2=Rand |first2=David G. |title=Measuring exposure to misinformation from political elites on Twitter |journal=Nature Communications |date=21 November 2022 |volume=13 |issue=1 |page=7144 |doi=10.1038/s41467-022-34769-6 |pmid=36414634 |pmc=9681735 |bibcode=2022NatCo..13.7144M |language=en |issn=2041-1723|doi-access=free}}</ref>

There are also demonstrations of platform-built-in (by-design) as well [[Web browser|browser]]-integrated (currently in the form of [[browser addon|addons]]) [[misinformation#Countermeasures|misinformation mitigation]].<ref name="platforms">{{cite news |last1=Zewe |first1=Adam |title=Empowering social media users to assess content helps fight misinformation |url=https://techxplore.com/news/2022-11-empowering-social-media-users-content.html |access-date=18 December 2022 |work=Massachusetts Institute of Technology via techxplore.com |language=en}}</ref><ref>{{cite journal |last1=Jahanbakhsh |first1=Farnaz |last2=Zhang |first2=Amy X. |last3=Karger |first3=David R. |title=Leveraging Structured Trusted-Peer Assessments to Combat Misinformation |journal=Proceedings of the ACM on Human-Computer Interaction |date=11 November 2022 |volume=6 |issue=CSCW2 |pages=524:1–524:40 |doi=10.1145/3555637|doi-access=free|hdl=1721.1/147638 |hdl-access=free }}</ref><ref>{{cite web |last1=Elliott |first1=Matt |title=Fake news spotter: How to enable Microsoft Edge's NewsGuard |url=https://www.cnet.com/tech/mobile/fake-news-spotter-how-to-enable-microsoft-edges-newsguard/ |website=CNET |access-date=9 January 2023 |language=en}}</ref><ref>{{cite web |title=12 Browser Extensions to Help You Detect and Avoid Fake News |url=https://thetrustedweb.org/browser-extensions-to-detect-and-avoid-fake-news/ |website=The Trusted Web |access-date=9 January 2023 |date=18 March 2021}}</ref> Efforts such as providing and viewing structured accuracy assessments on posts "are not currently supported by the platforms".<ref name="platforms"/> Trust in the default or, in decentralized designs, user-selected providers of assessments<ref name="platforms"/> (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====
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.<ref>{{Cite web|url=https://www.usatoday.com/story/opinion/2018/04/02/international-fact-checking-day-correct-fake-news-column/466774002/|title=No cake on International Fact-Checking Day. Celebrate by correcting fake news.|first=Jane|last=Elizabeth|website=USA Today}}</ref> The holiday was officially created in 2016 and first celebrated on April 2, 2017.<ref>{{Cite web|url=https://www.poynter.org/fact-checking/2019/how-the-world-celebrated-the-third-international-fact-checking-day/|title=How the world celebrated the third International Fact-Checking Day|date=9 April 2019|website=Poynter}}</ref> 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."<ref>{{Cite web|url=https://www.poynter.org/fact-checking/2019/dont-be-fooled-third-annual-international-fact-checking-day-empowers-citizens-around-the-world-to-sort-fact-from-fiction/|title=Don't be fooled: Third annual International Fact-Checking Day empowers citizens around the world to sort fact from fiction|date=2 April 2019|website=Poynter}}</ref>
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]].