6 papers
Community Notes undermoderate polarizing content by design creating risks in electoral processes
Paul Bouchaud, Pedro Ramaciotti
Community Notes (CNs) of X enables users to collaboratively moderate misleading content. To resolve conflicting moderation, CNs infers a latent ideological dimension and selects no…
Political attitudes differ but share a common low-dimensional structure across social media and survey data
Antoine Vendeville, Hiroki Yamashita, Pedro Ramaciotti
Does polarization online reflect the state of polarization in society? We study ideological positions and attitudes on several issues in France, a country with documented issue non…
Mapping the political landscape from data traces: multidimensional opinions of users, politicians and media outlets on X
Antoine Vendeville, Jimena Royo-Letelier, Duncan Cassells +9
Studying political activity on social media often requires defining and measuring political stances of users or content. Relevant examples include the study of opinion polarization…
Recommender system in X inadvertently profiles ideological positions of users
Paul Bouchaud, Pedro Ramaciotti
Studies on recommendations in social media have mainly analyzed the quality of recommended items (e.g., their diversity or biases) and the impact of recommendation policies (e.g.,…
Linear socio-demographic representations emerge in Large Language Models from indirect cues
Paul Bouchaud, Pedro Ramaciotti
We investigate how LLMs encode sociodemographic attributes of human conversational partners inferred from indirect cues such as names and occupations. We show that LLMs develop lin…
Web Crawler Restrictions, AI Training Datasets \& Political Biases
Paul Bouchaud, Pedro Ramaciotti
Large language models rely on web-scraped text for training; concurrently, content creators are increasingly blocking AI crawlers to retain control over their data. We analyze craw…