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Old page wikitext, before the edit (old_wikitext ) | '{{short description|American fact-checking website that reviews news and media organisations}}
{{Infobox website
| name = Media Bias/Fact Check
| logo = Media Bias Fact Check wordmark.png
| screenshot = Screen Shot of Media Bias-Fact Check.png
| collapsible =
| collapsetext =
| caption =
| url = {{Official URL}}
| alexa = {{increase}} [http://www.alexa.com/siteinfo/mediabiasfactcheck.com 36,739] ({{as of|2020|01|05|alt=January 2020}})
| commercial =
| registration =
| owner = Dave Van Zandt<ref name="about" />
| launch_date =
| current_status = Active
| location = [[Greensboro, North Carolina]]
| revenue =
| content_license =
}}
{{italics title}}
'''''Media Bias/Fact Check''''' is a web site that rates factual accuracy and [[political bias]] in news media. The site classifies media sources on a political bias spectrum, as well as on the accuracy of their factual reporting. The site is run by founder and editor Dave Van Zandt.<ref name="about">{{Cite web |url=https://mediabiasfactcheck.com/about/ |title=About |publisher=Media Bias/Fact Check |access-date=2019-03-30}}</ref>
The ''[[Columbia Journalism Review]]'' describes Media Bias/Fact Check as an amateur attempt at categorizing media bias and Van Zandt as an "armchair media analyst."<ref name="CJR">{{Cite news |url=https://www.cjr.org/innovations/measure-media-bias-partisan.php |title=We can probably measure media bias. But do we want to? |work=Columbia Journalism Review |access-date=2018-12-03 |language=en}}</ref> The [[Poynter Institute]] notes, "Media Bias/Fact Check is a widely cited source for news stories and even studies about misinformation, despite the fact that its method is in no way scientific."<ref>{{Cite web|url=https://www.poynter.org/fact-checking/2018/heres-what-to-expect-from-fact-checking-in-2019/|title=Here’s what to expect from fact-checking in 2019|date=2018-12-18|website=Poynter.org|language=en-US|access-date=2018-12-30}}</ref>
The site has been used by researchers at the [[University of Michigan]] to create a tool called the "Iffy Quotient", which draws data from ''Media Bias/Fact Check'' and ''[[NewsWhip]]'' to track the prevalence of 'fake news' and questionable sources on social media.<ref>{{Cite web |author=Dian Schaffhauser|url=https://campustechnology.com/articles/2018/10/16/u-m-tracker-measures-reliability-of-news-on-facebook-twitter.aspx |title=U-M Tracker Measures Reliability of News on Facebook, Twitter -- Campus Technology |website=Campus Technology |language=en |access-date=2018-12-03}}</ref><ref>{{Cite web|url=https://csmr.umich.edu/wp-content/uploads/2018/10/UMSI-CSMR-Iffy-Quotient-Whitepaper-810084.pdf|author1=Paul Resnick|author2=Aviv Ovadya|author3=Garlin Gilchrist|work=School of Information - Center for Social Media Responsibility|title=Iffy Quotient: A Platform Health Metric for Misinformation|publisher=University of Michigan|page=5}}</ref> The site was also used by a research group at the [[Massachusetts Institute of Technology]] in initial training of an AI to fact check and detect the bias on a website.<ref>{{Cite web|url=https://www.popsci.com/AI-fake-news|title=This AI can help spot biased websites and false news|last=Verger|first=Rob|date=2018-10-04|website=Popular Science|language=en|access-date=2019-01-01}}</ref><ref>{{cite conference | author1 = Ramy Baly | author2 = Georgi Karadzhov | author3 = Dimitar Alexandrov | author4 = James Glass | author5 = Preslav Nakov | title = Predicting Factuality of Reporting and Bias of News Media Sources | booktitle = Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing | year = 2018 | publisher = Association for Computational Linguistics | pages = 3528–3539 | location = Brussels, Belgium |url = http://aclweb.org/anthology/D18-1389}}</ref>
==Methodology==
Sites are rated on a 0-10 scale by Van Zant and his team using categories such as biased wording and headlines, factuality and sourcing, and story choices.<ref name="CJR" />
== References ==
{{reflist|40em}}
== External links ==
* {{Official website|https://mediabiasfactcheck.com/}}
[[Category:Fact-checking websites]]
[[Category:Internet properties established in the 2010s]]' |
New page wikitext, after the edit (new_wikitext ) | 'Ok fine guys
rickaifjaufaweuifaiufhcaiuphfehfwpquefhqp8hrqiuhfqiu4htfaidfubauiwefgwighf' |
Unified diff of changes made by edit (edit_diff ) | '@@ -1,37 +1,2 @@
-{{short description|American fact-checking website that reviews news and media organisations}}
-{{Infobox website
-| name = Media Bias/Fact Check
-| logo = Media Bias Fact Check wordmark.png
-| screenshot = Screen Shot of Media Bias-Fact Check.png
-| collapsible =
-| collapsetext =
-| caption =
-| url = {{Official URL}}
-| alexa = {{increase}} [http://www.alexa.com/siteinfo/mediabiasfactcheck.com 36,739] ({{as of|2020|01|05|alt=January 2020}})
-| commercial =
-| registration =
-| owner = Dave Van Zandt<ref name="about" />
-| launch_date =
-| current_status = Active
-| location = [[Greensboro, North Carolina]]
-| revenue =
-| content_license =
-}}
-{{italics title}}
-'''''Media Bias/Fact Check''''' is a web site that rates factual accuracy and [[political bias]] in news media. The site classifies media sources on a political bias spectrum, as well as on the accuracy of their factual reporting. The site is run by founder and editor Dave Van Zandt.<ref name="about">{{Cite web |url=https://mediabiasfactcheck.com/about/ |title=About |publisher=Media Bias/Fact Check |access-date=2019-03-30}}</ref>
-
-The ''[[Columbia Journalism Review]]'' describes Media Bias/Fact Check as an amateur attempt at categorizing media bias and Van Zandt as an "armchair media analyst."<ref name="CJR">{{Cite news |url=https://www.cjr.org/innovations/measure-media-bias-partisan.php |title=We can probably measure media bias. But do we want to? |work=Columbia Journalism Review |access-date=2018-12-03 |language=en}}</ref> The [[Poynter Institute]] notes, "Media Bias/Fact Check is a widely cited source for news stories and even studies about misinformation, despite the fact that its method is in no way scientific."<ref>{{Cite web|url=https://www.poynter.org/fact-checking/2018/heres-what-to-expect-from-fact-checking-in-2019/|title=Here’s what to expect from fact-checking in 2019|date=2018-12-18|website=Poynter.org|language=en-US|access-date=2018-12-30}}</ref>
-
-The site has been used by researchers at the [[University of Michigan]] to create a tool called the "Iffy Quotient", which draws data from ''Media Bias/Fact Check'' and ''[[NewsWhip]]'' to track the prevalence of 'fake news' and questionable sources on social media.<ref>{{Cite web |author=Dian Schaffhauser|url=https://campustechnology.com/articles/2018/10/16/u-m-tracker-measures-reliability-of-news-on-facebook-twitter.aspx |title=U-M Tracker Measures Reliability of News on Facebook, Twitter -- Campus Technology |website=Campus Technology |language=en |access-date=2018-12-03}}</ref><ref>{{Cite web|url=https://csmr.umich.edu/wp-content/uploads/2018/10/UMSI-CSMR-Iffy-Quotient-Whitepaper-810084.pdf|author1=Paul Resnick|author2=Aviv Ovadya|author3=Garlin Gilchrist|work=School of Information - Center for Social Media Responsibility|title=Iffy Quotient: A Platform Health Metric for Misinformation|publisher=University of Michigan|page=5}}</ref> The site was also used by a research group at the [[Massachusetts Institute of Technology]] in initial training of an AI to fact check and detect the bias on a website.<ref>{{Cite web|url=https://www.popsci.com/AI-fake-news|title=This AI can help spot biased websites and false news|last=Verger|first=Rob|date=2018-10-04|website=Popular Science|language=en|access-date=2019-01-01}}</ref><ref>{{cite conference | author1 = Ramy Baly | author2 = Georgi Karadzhov | author3 = Dimitar Alexandrov | author4 = James Glass | author5 = Preslav Nakov | title = Predicting Factuality of Reporting and Bias of News Media Sources | booktitle = Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing | year = 2018 | publisher = Association for Computational Linguistics | pages = 3528–3539 | location = Brussels, Belgium |url = http://aclweb.org/anthology/D18-1389}}</ref>
-
-==Methodology==
-Sites are rated on a 0-10 scale by Van Zant and his team using categories such as biased wording and headlines, factuality and sourcing, and story choices.<ref name="CJR" />
-
-== References ==
-{{reflist|40em}}
-
-== External links ==
-* {{Official website|https://mediabiasfactcheck.com/}}
-
-[[Category:Fact-checking websites]]
-[[Category:Internet properties established in the 2010s]]
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20 => ''''''Media Bias/Fact Check''''' is a web site that rates factual accuracy and [[political bias]] in news media. The site classifies media sources on a political bias spectrum, as well as on the accuracy of their factual reporting. The site is run by founder and editor Dave Van Zandt.<ref name="about">{{Cite web |url=https://mediabiasfactcheck.com/about/ |title=About |publisher=Media Bias/Fact Check |access-date=2019-03-30}}</ref>',
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24 => 'The site has been used by researchers at the [[University of Michigan]] to create a tool called the "Iffy Quotient", which draws data from ''Media Bias/Fact Check'' and ''[[NewsWhip]]'' to track the prevalence of 'fake news' and questionable sources on social media.<ref>{{Cite web |author=Dian Schaffhauser|url=https://campustechnology.com/articles/2018/10/16/u-m-tracker-measures-reliability-of-news-on-facebook-twitter.aspx |title=U-M Tracker Measures Reliability of News on Facebook, Twitter -- Campus Technology |website=Campus Technology |language=en |access-date=2018-12-03}}</ref><ref>{{Cite web|url=https://csmr.umich.edu/wp-content/uploads/2018/10/UMSI-CSMR-Iffy-Quotient-Whitepaper-810084.pdf|author1=Paul Resnick|author2=Aviv Ovadya|author3=Garlin Gilchrist|work=School of Information - Center for Social Media Responsibility|title=Iffy Quotient: A Platform Health Metric for Misinformation|publisher=University of Michigan|page=5}}</ref> The site was also used by a research group at the [[Massachusetts Institute of Technology]] in initial training of an AI to fact check and detect the bias on a website.<ref>{{Cite web|url=https://www.popsci.com/AI-fake-news|title=This AI can help spot biased websites and false news|last=Verger|first=Rob|date=2018-10-04|website=Popular Science|language=en|access-date=2019-01-01}}</ref><ref>{{cite conference | author1 = Ramy Baly | author2 = Georgi Karadzhov | author3 = Dimitar Alexandrov | author4 = James Glass | author5 = Preslav Nakov | title = Predicting Factuality of Reporting and Bias of News Media Sources | booktitle = Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing | year = 2018 | publisher = Association for Computational Linguistics | pages = 3528–3539 | location = Brussels, Belgium |url = http://aclweb.org/anthology/D18-1389}}</ref>',
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34 => '',
35 => '[[Category:Fact-checking websites]]',
36 => '[[Category:Internet properties established in the 2010s]]'
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