Emmanuel Vincent | Science Feedback
Fact-checkers know that the false or misleading claims they review usually appear on dozens to hundreds of websites and are routinely shared on thousands of social media posts.
When we write a fact-check, some of us use the Claim Review schema markup to indicate the location of where the claim first appeared, a url for online misinformation.
Fewer identify the “Appearances” field of the schema listing the urls of where the claim got repeated, and the current schema format doesn’t allow fact-checkers to indicate whether an “appearance” url is a url that simply repeats a false claim, promotes it while taking some precautions not to endorse it or is actually debunking the claim.
During this workshop, we will propose a data format and explore the possibility of agreeing on its use among fact-checkers.
Building a global database of where misinformation has been shared would be extremely useful for many players: search engines and social media platforms for instance would be able to surface reliable sources more easily if they could identify the ones that repeatedly share misinformation with a web scale database. Scientists and regulators could also better track the scale of the problem to hold accountable the platforms that do not help improve the situation.
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