Cognitive anthropology / cultural evolution / digital media / cultural analytics. Associate professor sociology @UniTrento - more info in the pinned tweet.

Trento, Italy
Joined October 2012
Website: acerbialberto.com "Cultural evolution in the digital age" (OUP): bit.ly/2McstmR "Individual-based models of cultural evolution. A step-by-step guide using R" (Routledge): bit.ly/3MQBjT4 Substack (free - in italiano): bit.ly/3lDERMq
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Over 11k video games (1993-2016), competitive content declined and prosocial content (friendship, warmth, care) rose, within genres and within franchises osf.io/preprints/psyarxiv/5e…
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Credere a ciò che vogliamo che gli altri credano; divieti social e come evirarli; l’OCSE su IA generativa e istruzione; un po' di evoluzione culturale in podcast; e un update sui sei gradi di Kevin Bacon. albertoacerbi.substack.com/p…
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The last chapter of Technopanic is called "Techno-solutions and complicated problems"
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In all past iterations of my cultural analytics module I tried hard to convince students that theories and hypothesis testing are fundamental. I do not think very successfully, partly I blame myself, but also traditions in which studies are descriptive and theories are
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Tone and rhetoric aside, I try to give a charitable reading. I can even agree with their second point (blending)! In fact it suggests there is no generic “social media harm”, but rather which activities, in which environments, for which people, with which outcomes, etc...
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On the first (risk ratios) I am less convinced: switching metric changes how big *it looks*, not what it tells us about possible causes.
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Putting all together, we are still at the same place: small, uncertain, effects, varying a lot among people/activities suggests to me that this is more about technopanic than science.
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Socialità e abitudini di lettura dal 2001 ad oggi secondo i dati ISTAT. substack.com/home/post/p-221…
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Una relazione positiva (!) tra social media e benessere; L'effetto (minuscolo) di non avere smartphone in classe; Yandex e i bot russi: troppo bello per essere vero; Un data center in miniera, con mele e Trentodoc; Distruggete siti web. albertoacerbi.substack.com/p…
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Interesting paper, claims that reduction of variation in LLMs (aka mode collapse) is mostly due to human biases - annotators preferring familiar answers - and it can be reduced using a specific prompting strategy. simonucl.notion.site/verbali…
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Posts on Ukrainian drones/Russian bots activity: "it is not true, but it could be true, and if it was, I would be very right."
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Alberto Acerbi retweeted
The good old days of the internet before it was enshittified
Top 100 - Google Video in October 2006
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Very nice the authors of the Science paper on social/individual learning in orangutans took the time to write a detailed response to my short thread!
Replying to @acerbialberto
We actually used the daily number of peering events to assess overall propensities to engage in social learning. We also identified socially intiated learning by analysing how long exploration remains elevated after peering. Here is a detailed response: docs.google.com/document/d/1…
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Intelligenza (artificiale) collettiva; i giovani stanno meglio?; i 20 post più visti su Facebook fanno lo 0,03% delle visualizzazioni; l'IA dimostra teoremi; Netflix semplifica le serie? albertoacerbi.substack.com/p…
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Ignoring AI in research workflow is not an option. This looks like an interesting experiment. journalqd.org/special-workfl…
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I asked ChatGPT to plot a comparison...
The 20 most-viewed Facebook posts (in US) represent only the 0.03 % of all content views (in US). I say "only" because usually the popularity of "cultural things" (think books, movies, songs, etc.).... transparency.meta.com/report…
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The 20 most-viewed Facebook posts (in US) represent only the 0.03 % of all content views (in US). I say "only" because usually the popularity of "cultural things" (think books, movies, songs, etc.).... transparency.meta.com/report…
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...follows a power-law, where hits get the big share of the market and everything else crumbles. Feed algorithms are thought to reinforce this tendency, so that it is commonly thought that "richer get (even more) richer" in social media. But maybe is not the case?
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ps: also interesting is *what* is the most viewed content. Academics and journalists may just at some point surrender and admit that this is what people want to see...
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