Rezultati
eNauka >
Results >
An Agent‑Based Simulation of Politicized Topics Using Large Language Models: Algorithmic Personalization and Polarization on Social Media
| Title: | An Agent‑Based Simulation of Politicized Topics Using Large Language Models: Algorithmic Personalization and Polarization on Social Media | Authors: | Bojić, Ljubiša   ; Ilić, Velibor ; Prodanović, Veljko ; Vuković, Vuk |
Issue Date: | 2025 | Publication: | Chinese Political Science Review | ISSN: | 2365-4252 Chinese Political Science Review (Singapore) Search Idenfier |
Publisher: | Springer | Type: | Article | DOI: | 10.1007/s41111-025-00326-x | WoS-ID: | 001633275100001 | Scopus-ID: | 2-s2.0-105024338384 | URI: | https://rifdt.ifdt.bg.ac.rs/123456789/4558 https://enauka.gov.rs/handle/123456789/1016640 |
Project: | This paper has been supported by the TWON (project number 101095095), a research project funded by the European Union, under the Horizon Europe framework (HORIZON-CL2-2022-DEMOCRACY-01, topic 07). More details about the project can be found on its official website: https://www.twon-project.eu/. | M-category: | 21aM21a |
