Alberto Acerbi

Alberto Acerbi

@acerbialberto.com

I am an associate professor in the Department of Sociology and Social Research at the University of Trento (Italy): cognitive anthropology / cultural evolution / digital media / cultural analytics More info in the pinned post.

3K followers1.2K following1K posts

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Straight in my cultural analytics syllabus!

Olivier Morin@oliviermorin.bsky.social

New preprint! Computational Humanities needs falsifiable theories. With 25 Paris-based researchers who share the same ambitions for the field and had an exciting conversation. zenodo.org/records/2349...

Gatekeeper at a fair trade. They surprise-called me in the afternoon, I left from uni and I had to stay outside from 6pm to 12pm, it started snowing. I invested my pocket money in a bottle of wine instead of dinner. I lost (only temporarily) a few passports of people entering. Got fired at the end.

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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/i-link-del...

albertoacerbi.substack.comI link della settimana (#157)(i) Gallup ha appena pubblicato lo State of the World’s Emotional Health 2026 Report, che, naturalmente, analizza l’uso dei social media.

The popularity of "cultural things" (think books, movies, songs, etc.) has skewed distributions, where hits get the big share of the market and everything else get crumbles. It is generally assumed that feed algorithms reinforce this tendency...

...so that, in social media, "richer get (even more) richer". However, Meta's "Widely Viewed Content Report: What People See on Facebook" reports that the 20 most-viewed posts (in US) represent only the 0.03% of all content views (in US). transparency.meta.com/reports/wide...

transparency.meta.comWidely Viewed Content Report: What People See on Facebook | Transparency CenterFacebook regularly publishes reports to give our community visibility into community standards enforcement, government requests and internet disruptions

Is popularity on social media *less* skewed than in other domains? I asked ChatGPT to plot a comparison with data from other cultural domains, that seems to confirm this intuition.

New preprint - "Associations between content and engagement vary across social media communities" Research on social media often seeks content features linked in general to engagement, e.g. negativity, moralisation, etc. But social media is not an uniform environment.

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Expected absolute slope values of communities are larger than the common slope estimated by the model. However, varying-slope model estimations are also small. The better fit does not come from stronger average effects, but from taking into account heterogeneity.

New preprint - "Associations between content and engagement vary across social media communities" Research on social media often seeks content features linked in general to engagement, e.g. negativity, moralisation, etc. But social media is not an uniform environment.

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Some examples: in r/AmItheAsshole, the most negative posts get *less* engagement, possibly because negativity is already the baseline there. In r/cscareerquestions, negativity goes with more engagement. In r/knitting, high arousal (enthusiasm?) pays off.

These results generalise. I compare two multilevel models. One estimates a single within-community slope per feature and the other lets slopes vary across communities. Varying-slope models fit better in all five corpora.

New preprint - "Associations between content and engagement vary across social media communities" Research on social media often seeks content features linked in general to engagement, e.g. negativity, moralisation, etc. But social media is not an uniform environment.

I analysed four content features (negativity, moralisation, arousal, in/out-group balance) in 1M+ items from 587 communities on 5 corpora across Reddit, Stack Exchange, X and YouTube. Here is reddit (communities are 43 subreddits)

Very happy to be part of this. Great team and fantastic work from Tanay!

Tanay Katiyar@adigitaltanay.bsky.social

Does spreading mental health awareness online amplify self-diagnosis? In my first PhD pre-print, I empirically examine this question (n =3392) with some kick-ass collaborators and tools from cultural evolution A 🧵

New paper out with Eliana Fattorini, Massimiano Bucchi, and Enzo Loner. “Weapon and poison? Framing disinformation in European Commission speeches, 2016–2024” We analyse how disinformation is framed in 238 speeches by European Commission in the last 10 years.

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The framing matters because they shape policies: platform regulation, detection and takedown, and media-literacy “vaccines”. While these measures may be useful, we argue for a broader approach that also considers institutional accountability, media pluralism, and citizens’ participation and trust.

New paper out with Eliana Fattorini, Massimiano Bucchi, and Enzo Loner. “Weapon and poison? Framing disinformation in European Commission speeches, 2016–2024” We analyse how disinformation is framed in 238 speeches by European Commission in the last 10 years.

Speakers often use a self-absolving and fatalistic narrative. Disinformation is portrayed as a “weapon” or “poison”, driven by hostile states, bad actors, and digital platforms, and citizens as vulnerable subjects who need protection.

I just realised I mixed up former/latter in the opening sentence! :) "Whether you hate or love them (most likely the latter), social media..."

Alberto Acerbi reposted

Alberto Acerbi reposted

We have done many field experiments documenting the policy relevance of social contagion and I wholly agree that “diffusion should be part of behavioural policy making.” This paper is a valuable exploration of mechanisms involved.

koenfucius@koenfucius.bsky.social

Behavioural policy relies on social transmission—but how do different social learning mechanisms perform? Paper by @gaveltri.bsky.social & @acerbialberto.com examines four canonical social learning rules, and argues diffusion should be part of behavioural policy making: buff.ly/cbyAnuD

The perception that crime is on the rise is widespread in Italy. But hey, there's data! I plotted data from the Viminale (via mappine.it) from 2012 to today on homicides, thefts, and robberies. They're below.

PS: Data is better than personal opinion and hearsay, but it's not the "Truth". It could be that crimes are being discovered less or that definitions change over time. But it definitely tells us that the common perception isn't obvious.