Petter Törnberg

@pettertornberg.com

Assistant Professor in Computational Social Science at University of Amsterdam Studying the intersection of AI, social media, and politics. Polarization, misinformation, radicalization, digital platforms, social complexity.

‘Polarization’ has become the master concept for diagnosing our current democratic crisis. But this is not polarization. It is the radicalization of the political right. By misdiagnosing it, we risk becoming complicit in the crisis. 🧵 Just out in Perspectives on Politics doi.org/10.1017/S153...

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How do people choose what LLMs they will use? Accuracy, it turns out, is less important than you might think. Our results suggest that the choice of LLM might itself become a new line of polarization.

Christopher Barrie@cbarrie.bsky.social · 2mo ago

📄 New paper: people choose AI models partly on political grounds This is joint work with @pettertornberg.com @chrisbail.bsky.social @michelleschimmel.bsky.social and led by @michaelheseltine.bsky.social

Social media is no longer social. Most of it is passive viewing of videos and pictures from people we've never met. But we're still studying social media like it's 2010. We've entered the post-social media era — and research needs to catch up. osf.io/preprints/so... preprint w/ Richard Rogers

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Is social media dying? How much did Twitter change as it became X? Which party now dominates the conversation? Using nationally representative ANES data from 2020 & 2024, I map how the U.S. social media landscape has changed Here are the key take-aways 🧵 Full paper out now in in JQD:DM!

Shifts in U.S. Social Media Use, 2020–2024: Decline, Fragmentation, and Enduring Polarization | Journal of Quantitative Description: Digital Media

journalqd.org

AI systems are now making decisions about you — who gets hired, whose content gets removed, whose voice gets heard. My new paper finds something concerning: LLMs infer your ethnic identity from subtle textual cues… … and use it to discriminate against you. 🧵 1/

Large Language Models Reproduce Racial Stereotypes When Used for Text Annotation

Large language models (LLMs) are increasingly used for automated text annotation in tasks ranging from academic research to content moderation and hiring. Across 19 LLMs and two experiments totaling m...

arxiv.org

A recent debate on the left pits “abundance” vs “anti-monopoly” Is the problem that we've made it too hard to build? Or that extractive corporations dominate the economy? My new paper argues: both reflect a deeper shift. We've entered an economy oriented toward scarcity—the Anti-Growth Machine.

The City as an Anti‐Growth Machine

Logan and Molotch's “urban growth machine” remains foundational in urban theory, describing how coalitions of landowners, developers, and politicians promote urban growth to raise land values. This p...

onlinelibrary.wiley.com

The impact of AI is not just a matter of what AI can do. It is shaped by the economy in which AI is forged. Today, AI is emerging inside technofeudalism — built on lock-in, dependency, and rent extortion. Our new preprint explores what this means for the coming AI society. osf.io/preprints/so...

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📕 Review of “Seeing like a Platform” “What makes this book essential reading is its recognition that digital technology’s democratic potential and authoritarian dangers are not separate phenomena but two faces of the same coin.” albertoblumenscheincruz.substack.com/p/review-see...

Review: “Seeing Like a Platform”

Digital Modernity’s New Forms of Power -- By Petter Törnberg and Justus Uitermark -- Routledge, 2025

albertoblumenscheincruz.substack.com

.@pettertornberg.com's keynote in Oxford was fantastic. What comes after the traditional model of social media ends? 1) Algorithmic broadcasting platforms (everything turning into TikTok and Instagram reels) 2) Private and semi-private spheres (like group chats) 3) Chatbots and LLMs as new media

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LLMs are now widely used in social science as stand-ins for humans—assuming they can produce realistic, human-like text But... can they? We don’t actually know. In our new study, we develop a Computational Turing Test. And our findings are striking: LLMs may be far less human-like than we think.🧵

Computational Turing Test Reveals Systematic Differences Between Human and AI Language

Large language models (LLMs) are increasingly used in the social sciences to simulate human behavior, based on the assumption that they can generate realistic, human-like text. Yet this assumption rem...

arxiv.org

🚨 New #SingularityFM 🎙 What do Facebook, Google & TikTok really see when they look at us — and what do they miss? My latest interview with @pettertornberg.com explores algorithmic tyranny, digital modernity & the future of power. 👉 snglrty.co/4mDn1Gb

Petter Törnberg: Algorithmic Tyranny & Digital Modernity

See this interview to discover Petter Törnberg’s insights on algorithmic tyranny, digital modernity, and how platforms reshape power.

snglrty.co