Using Local Events to Build Trust With Regional Leads

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In October 2018, MIT created a fake news rating system based on machine learning (determined in particular by the number and type of publication ).

The French startup Neutral News distinguishes between an article that reports factual information and fake news through a semantic analysis (words, lexical fields, turns of phrase). To do this, it uses Decodex : a database created by journalists from Le Monde that lists more than 5,000 questionable articles, tweets, YouTube videos and Facebook posts.

But AI is currently unable to differentiate gambling data india between false information that is the result of an error and intentional disinformation.

For Tristan Mendès France, Associate Lecturer at Paris Diderot University and specialist in digital cultures, " There is no well-defined limit between fake news and a factual article. It is rather a continuum on which a cursor must be placed ."

Other fact-checking initiatives during the covid-19 crisis

Fact-checking organizations and media outlets have been fighting the spread of fake news for several years now, partnering with digital giants to track down false information. These initiatives have been strengthened during the covid-19 crisis.

Facebook pays around sixty media outlets for the use of their “fact checks” on its platform and on Instagram, as part of the “Third party fact-checking” program (launched in December 2016). During the month of March, WhatsApp partnered with the World Health Organization (WHO), while 40 million Facebook posts received a “warning label” , pushing users not to consult this content in 95% of cases.