We develop agent-based social simulations to understand how complex systems of political communication evolve at scale, revealing patterns of opinion dynamics, polarization and collective behavior. At the individual level, we use methods from natural language processing in AI psychometrics to study value systems and other psychological traits that shape agent behavior.
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Replication Data for: Beyond the Link: Assessing LLMs’ Ability to Classify Political Content Across Global Media
Oct 30, 2025
DE LA FUENTE CUESTA, ALEJANDRO; Alberto Martínez Serra; Nienke Visscher; Cardenal, Ana S., 2025, "Replication Data for: Beyond the Link: Assessing LLMs’ Ability to Classify Political Content Across Global Media", https://doi.org/10.82201/8UPPY6, BSC Dataverse, V2, UNF:6:j4VEdzl/g0wp+AX0/Pik1w== [fileUNF]
This dataset and replication package accompany the paper: “Beyond the Link: Assessing LLMs’ Ability to Classify Political Content Across Global Media.” by Alejandro De La Fuente-Cuesta, Alberto Martínez-Serra, R. Nienke Visscher, and Ana S. Cardenal (2025). The materials include the data and code necessary to reproduce all analyses presented in the...
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