activity
20202025
most citedValidating daily social media macroscopes of emotions

47 citations · 64 across the 9 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.AI2025

Large language models replicate and predict human cooperation across experiments in game theory

Andrea Cera Palatsi, Samuel Martin-Gutierrez, Ana S. Cardenal +1

Large language models (LLMs) are increasingly deployed as decision-making agents in high-stakes domains and as imitators of human behavior in the social and behavioral sciences. Ye…

cs.AI2025

Neural network embeddings recover value dimensions from psychometric survey items on par with human data

Max Pellert, Clemens M. Lechner, Indira Sen +1

We demonstrate that embeddings derived from large language models, when processed with "Survey and Questionnaire Item Embeddings Differentials" (SQuID), can recover the structure o…

cs.SI2025

A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags

Emma Fraxanet, Vicenç Gómez, Andreas Kaltenbrunner +1

We present a large-scale, longitudinal dataset capturing user activity on the online platform of DerStandard, a major Austrian newspaper. The dataset spans ten years (2013-2022) an…

cs.SI2025

Dynamics of collective minds in online communities

Seungwoong Ha, Henrik Olsson, Kresimir Jaksic +2

Collective discourse and action are driven by collective minds. These shared semantic representations and related processes shape societal responses to critical societal challenges…

cs.CY2025★ 1 cited

Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models

Mats Faulborn, Indira Sen, Max Pellert +2

Prompt-based language models like GPT4 and LLaMa have been used for a wide variety of use cases such as simulating agents, searching for information, or for content analysis. For a…