If you read this blog, or if you follow my activity on Twitter, you may know that I have a fairly relaxed attitude towards the “dangers” of the digital world. The great majority of supposed perils correspond more or less to what happens in our offline lives, and – in our offline lives too – we tend to be vulnerable to external influences only up to a certain point (here an excellent paper argumenting that we are not as gullible as we think – in fact, as we think others are). I wrote about the digital spread of fake news mirroring the traditional spread of rumours (according to BuzzFeed, the fake news that generated more engagement on Facebook in 2017 is titled “Babysitter transported to hospital after inserting a baby in her vagina”), about the inconsistencies of the “post-truth” narrative, or about the exaggeration of the digital echo-chambers danger (I would probably write differently today these two, rather old, posts).
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 (*).
In 2013 I took the time to collect some data about the spread of a story about Oreo cookies. According to it, scientists demonstrated that Oreo cookies are as much, or possibly more, addictive than cocaine. The story spread and faded very quickly, in a couple of days in October 2013, but was reported by hundreds of English language media outlets, including prominent ones such as the Huffington Post or the Guardian.
I am almost leaving after few intense days at the Second Moscow-Tartu Late Summer School on Digital Humanities, where I was invited to give a talk about my research on the cultural dynamics of emotion in fiction (see two papers here and here), and more recently in song lyrics (no paper yet – a blog post documenting the very beginning of the research is here).
I found, thanks to twitter-induced serendipity (others call it procrastination), the lyrics of the songs included in the annual Billboard Top-100 from 1965 to 2015 (i.e., considering a few missing, ~5,000 songs). You can find in GitHub, together with the raw data, some clarifications on how the data were collected, their limitations, etc. plus a pointer to a nice analysis already done.