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еНаука >  Резултати >  An Agent‑Based Simulation of Politicized Topics Using Large Language Models: Algorithmic Personalization and Polarization on Social Media
Назив: An Agent‑Based Simulation of Politicized Topics Using Large Language Models: Algorithmic Personalization and Polarization on Social Media
Аутори: Bojić, Ljubiša  ; Ilić, Velibor  ; Prodanović, Veljko  ; Vuković, Vuk
Година: 2025
Публикација: Chinese Political Science Review
ISSN: 2365-4252 Chinese Political Science Review (Singapore) Претражи идентификатор
Издавач: Springer
Тип резултата: Научни чланак
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
Пројекат: 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/.
М-категорија: 
21aM21a - Водећи међународни часопис категорије M21a

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