2 citations · 3 across the 4 of their papers we have counts for
5 papers
SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors
Tiancheng Hu, Joachim Baumann, Lorenzo Lupo +3
Large language model (LLM) simulations of human behavior have the potential to revolutionize the social and behavioral sciences, if and only if they faithfully reflect real human b…
The Content Moderator's Dilemma: Removal of Toxic Content and Distortions to Online Discourse
Mahyar Habibi, Dirk Hovy, Carlo Schwarz
There is an ongoing debate about how to moderate toxic speech on social media and the impact of content moderation on online discourse. This paper proposes and validates a methodol…
Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns
Antonina Sinelnik, Dirk Hovy
Any report frames issues to favor a particular interpretation by highlighting or excluding certain aspects of a story. Despite the widespread use of framing in disinformation, fram…
DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods
Lorenzo Lupo, Paul Bose, Mahyar Habibi +2
Social scientists increasingly use demographically stratified social media data to study the attitudes, beliefs, and behavior of the general public. To facilitate such analyses, we…
Towards Human-Level Text Coding with LLMs: The Case of Fatherhood Roles in Public Policy Documents
Lorenzo Lupo, Oscar Magnusson, Dirk Hovy +2
Recent advances in large language models (LLMs) like GPT-3.5 and GPT-4 promise automation with better results and less programming, opening up new opportunities for text analysis i…