5 papers
Community corrections have divergent downstream effects across corrected accounts
Yuwei Chuai, Thomas Renault, Nicolas Pröllochs +2
Community-based fact-checking can reduce the spread of annotated misleading posts, but whether it produces lasting behavioral change among corrected authors remains unclear. Here,…
AI Coding Agents in Social Science: Methodologically Diverse, Empirically Consistent, Interpretively Vulnerable
Meysam Alizadeh, Fabrizio Gilardi, Mohsen Mosleh +1
The deployment of LLM-based agents in scientific analysis raises opposing concerns: that agents may reduce methodological diversity, or that they may amplify the analytic flexibili…
AI Coding Agents Can Reproduce Social Science Findings
Meysam Alizadeh, Mohsen Mosleh, Fabrizio Gilardi +2
Recent anecdotal evidence suggests that AI coding agents can reproduce published findings when provided with original data and code; yet systematic evaluation across social science…
Request a Note: How the Request Function Shapes X's Community Notes System
Yuwei Chuai, Shuning Zhang, Ziming Wang +3
X's Community Notes is a crowdsourced fact-checking system. To improve its scalability, X introduced ``Request Community Note'' feature, enabling users to solicit fact-checks from…
Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics
Meysam Alizadeh, Fabrizio Gilardi, Zeynab Samei +1
Large language models (LLMs) have traditionally relied on static training data, limiting their knowledge to fixed snapshots. Recent advancements, however, have equipped LLMs with w…