Online misinformation, fake news, false news, hoaxes, you name it, has been blamed for almost everything bad happening in the last years, from the success of Trump to Brexit, from the election of Bolsonaro to the (relative) spread of the anti-vax movement. The scientific consensus on the prominence and on the effect of online misinformation, however, is, at best, mixed.Continue reading “Morgue employee cremated by mistake while taking a nap”
Next month, I will give two talks – or two versions of the same talk – on “Cognitive attraction and online misinformation”. One will be in Den Bosch at the Jheronimus Academy of Data Science (where I hope to convince data scientists that cultural evolution and cognitive anthropology can be useful to understand online diffusion dynamics) and one, shortly after, at a Conference on Cultural Evolution organised by The Cognition, Behavior & Evolution Network at the University of Antwerp (where I will do the opposite, hoping to convince cultural evolutionists that studying online diffusion dynamics can be useful for us).
Few thoughts on an important paper that just appeared in Science, The spread of true and false news online. The paper received (and will receive) justified attention: it is massive (“~126,000 rumor cascades spread by ~3 million people more than 4.5 million times” in a long temporal window – from 2006 to 2017), it includes several detailed analyses (the authors did not only check basic metrics such as speed and size of diffusion, but they measured things like structural virality; the proportion of political versus non-political news; the role of bots; they run a sentiment analysis of the tweets, etc.), and it has a straightforward (and I guess welcome to many) take-home message: “fake” news are more successfull than “true” news in social media, at least in Twitter (*).