Media Bias/Fact Check: Difference between revisions
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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|author=Tamar Wilner|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|date=January 9, 2018}}</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 news |last1=Funke |first1=Daniel |last2=Mantzarlis |first2=Alexios |title=Here's what to expect from fact-checking in 2019 |url=https://www.poynter.org/fact-checking/2018/heres-what-to-expect-from-fact-checking-in-2019/ |work=Poynter |date=December 18, 2018}}</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|author=Tamar Wilner|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|date=January 9, 2018}}</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 news |last1=Funke |first1=Daniel |last2=Mantzarlis |first2=Alexios |title=Here's what to expect from fact-checking in 2019 |url=https://www.poynter.org/fact-checking/2018/heres-what-to-expect-from-fact-checking-in-2019/ |work=Poynter |date=December 18, 2018}}</ref> |
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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><ref>{{cite conference | author1 = Ramy Baly | author2 = Georgi Karadzhov | author3 = Dimitar Alexandrov | author4 = James Glass |authorlink5=Preslav Nakov | author5 = Preslav Nakov | title = Predicting Factuality of Reporting and Bias of News Media Sources | book-title = 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> |
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. The Media Bias/Fact Check website "makes judgments not on individual items but on entire sites." Ranking the bias of the entire source displays the potential bias there may be overall on the articles the source publishes.<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><ref>{{cite conference | author1 = Ramy Baly | author2 = Georgi Karadzhov | author3 = Dimitar Alexandrov | author4 = James Glass |authorlink5=Preslav Nakov | author5 = Preslav Nakov | title = Predicting Factuality of Reporting and Bias of News Media Sources | book-title = 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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== See also == |
== See also == |
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Revision as of 23:47, 29 September 2021
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| Founded | 2015 |
|---|---|
| Headquarters | Greensboro, North Carolina |
| Owner | Dave Van Zandt[1] |
| URL | mediabiasfactcheck |
| Current status | Active |
Media Bias/Fact Check (MBFC) is an American website founded in 2015 by editor Dave Van Zandt.[1] The website has been described as an amateur effort to rate news media sources based on factual accuracy and political bias.[2]
Sites are rated on a 0–10 scale by Van Zandt and his team using categories such as biased wording and headlines, factuality and sourcing, and story choices.[2]
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".[2] 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."[3]
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. The Media Bias/Fact Check website "makes judgments not on individual items but on entire sites." Ranking the bias of the entire source displays the potential bias there may be overall on the articles the source publishes.[4][5][6]
See also
References
- ^ a b "About". Media Bias/Fact Check. Retrieved 2019-03-30.
- ^ a b c Tamar Wilner (January 9, 2018). "We can probably measure media bias. But do we want to?". Columbia Journalism Review.
- ^ Funke, Daniel; Mantzarlis, Alexios (December 18, 2018). "Here's what to expect from fact-checking in 2019". Poynter.
- ^ Dian Schaffhauser. "U-M Tracker Measures Reliability of News on Facebook, Twitter -- Campus Technology". Campus Technology. Retrieved 2018-12-03.
- ^ Paul Resnick; Aviv Ovadya; Garlin Gilchrist. "Iffy Quotient: A Platform Health Metric for Misinformation" (PDF). School of Information - Center for Social Media Responsibility. University of Michigan. p. 5.
- ^ Ramy Baly; Georgi Karadzhov; Dimitar Alexandrov; James Glass; Preslav Nakov (2018). "Predicting Factuality of Reporting and Bias of News Media Sources". Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Brussels, Belgium: Association for Computational Linguistics. pp. 3528–3539.