“How journalists and social media users perceive online fact-checking and verification services”. īrandtzaeg, Petter-Bae Følstad, Asbjørn Chaparro-Domínguez, María-Ángeles (2018). “See something, say something: correction of global health misinformation on social media”. In: Proceedings of the 5th International AAAI Conference on weblogs and social media (ICWSM), pp.18-25. “Media landscape in Twitter: a world of new conventions and political diversity”. Īn, Jisun Cha, Meeyoung Gummadi, Krishna Crowcroft, Jon (2011). “Social media and fake news in the 2016 election”. We discuss some of the reasons why some of social media users may choose to distribute fake news content intentionally.Īlberto Ardèvol-Abreu, Universidad de La LagunaĪllcott, Hunt Gentzkow, Matthew (2017). We also found that fake news sharing is a two-dimensional phenomenon that includes intentional and unintentional behaviors.
Some participants showed distrust in fact-checkers and lack of knowledge about the fact-checking process. Findings suggest that the label of ‘false news’ plays a role –although not necessarily central– in social media users’ evaluation of the content and their decision (not) to share it. To better understand users’ interaction with social media content identified or recognized as false, we analyze qualitative and quantitative data from five focus groups and a sub-national online survey ( N = 350). More worryingly, previous findings suggest that some people may intentionally share made up news on social media, although their motivations are not fully explained. Furthermore, we still do not know much about how social media users evaluate content that has been fact-checked and flagged as false.
Unfortunately, the literature shows that the effects of misinformation are more complex and tend to persist and even backfire after correction. Once debunked, fake posts and news stories should therefore become harmless. Part of the rationale behind this approach is that the negative effects of fake content arise only when social media users are deceived. These include identifying, labeling, and penalizing –via news feed ranking algorithms– fake publications. The main social media platforms have been implementing strategies to minimize fake news dissemination. Social media, Facebook, Fake news, Misinformation, Fact-Checking, Debiasing, Covid-19, Coronavirus Resumen
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