Sociologist at Rutgers. Substantive interests include right-wing politics, populism, and hate speech on social media. I also write about computational methods and AI.
https://www.thomasrdavidson.com/
Thomas Davidson
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📢 Call for Reviewers: WOAH @ #EMNLP2026
WOAH is looking for reviewers to help evaluate submissions for our 10th edition at EMNLP 2026.
Interested in serving as a reviewer?
🔗 docs.google.com/forms/d/e/1F...
Thank you for helping us make #WOAH2026 a success!
#NLP #AI #OnlineSafety
Ranjit Lall, @thomasdavidson.bsky.social & Felix Hagemeister confirm the boosting influence of public health shocks on right-wing populism using data from France, Great Britain and the Netherlands: doi.org/10.1177/0010...
Workshop on Online Abuse and Harms
Our paper on the pandemic and populism is online in Comparative Political Studies.
We find that local COVID-19 transmission increased support for right-wing populists in Europe, and triangulate our findings across data from social media, elections, and surveys.
Our paper on the pandemic and populism is online in Comparative Political Studies.
We find that local COVID-19 transmission increased support for right-wing populists in Europe, and triangulate our findings across data from social media, elections, and surveys.
Thomas Davidson
This paper was a product of an interdisciplinary collaboration between a political scientist, a sociologist, and an economist. And it was done entirely remotely over many Zoom calls over the past five years; the three of us are still yet to meet in person!
Thomas Davidson
The paper is open access and available here: journals.sagepub.com/doi/full/10....
Wissensnetzwerk Rechtsextremismusforschung
This is a fairly large (EUR 29M) initiative at Universität des Saarlandes around using data and computational methods to understand and support societal tranformations. As part of this initiative, *five* professorships will be created. Talk to me about details.
A new paper in Nature finds that engagement-based algorithms on social media amplifies intergroup, moralized and emotional (IME) information + toxic content relative to reverse-chronological feeds, with the largest increases in moral outrage and political content. www.nature.com/articles/s41...
✨New paper out @nature.com ✨ For 8 weeks around the 2024 US election, we randomly assigned 2,000 people to use social media algos we built ourselves. Do engagement-based algorithms amplify intergroup, moral & emotional (IME) content—and does that distort how we see political norms? 🧵🔗 👇
