Bias and methods of AI technology studying political behavior

Project: Research

Vi undersöker politiskt beteende med hjälp av maskininlärning av politisk text och experiment. Ett samarbete mellan statsvetare och datavetare.

Word embeddings on ideology and issues from Swedish parliamentarians’ motions: a comparative approach
Fredén, A., Johansson, M. & Saynova, D., 2026, In: Journal of Elections, Public Opinion and Parties. 36, 2, p. 273-294
Research output: Contribution to journal › Article › peer-review

Open Access
Setting the AI Agenda: Evidence from Sweden in the ChatGPT Era
Bruinsma, B., Fredén, A., Hansson, K., Johansson, M., Kisić-Merino, P. & Saynova, D., 2024 Oct 20, CEUR Workshop Proceedings: 2nd Workshop on Fairness and Bias in AI. CEUR-WS, Vol. 3808. 14 p. (CEUR Workshop Proceedings).
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Open Access
Insurance Voting in the Centre: An Experimental Approach
Fredén, A., Bruinsma, B., Theorin, N. & Oscarsson, H., 2024 Aug 9, In: International Journal of Public Opinion Research. 36, 3, edae041.
Research output: Contribution to journal › Article › peer-review

Open Access

WASP-HS: Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society
Balkenius, C. (Project coordinator), Wisbrant, J. (Project communication officer), Brinck, I. (Project coordinator) & Edling, C. (Researcher)
2019/06/03 → 2028/12/31
Project: Research

Project Details