[논문/Paper] Network analysis reveals news press landscape and asymmetric user polarization

Paper: Redirecting
Journal: Physica A: Statistical Mechanics and its Applications

[AI-Generated Summary]: This study investigates structural and affective polarization between news media user groups on Naver News, South Korea’s largest online news portal, during the 2022 Korean presidential election. Using network analysis on 333,014 articles and over 36 million user comments, researchers uncovered two distinct user groups with opposing political leanings, revealing significant bias, echo chambers within co-commenting networks, and asymmetric affective interaction patterns between polarized groups. The classification of news articles based on comment response patterns suggests different political groups employ distinct communication strategies.