2024/04/24 by Yang Wen, Yang, Wen
Social Sciences · #FOS: Computer and information sciences #Media Studies and Communication #Misinformation and Its Impacts #Social Media and Politics #Social and Information Networks (cs.SI)
paper · pdf · doi:10.48550/arxiv.2404.15631
openalex publication_date 2024/04/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This study investigates echo chambers in social networks through an analysis of Twitter news accounts. Utilizing bias labels from the AllSides website, we construct a dataset representing six dimensions of news bias. Through manual extraction of follower/following relationships, we analyze interactions among 65 active Twitter news accounts. Despite the relatively small size of the network node data utilized, results reveal distinct clustering patterns indicative of echo chambers, with limited interaction between conflicting ideologies. This study underscores the potential impact of bias on information dissemination and democratic expression. These findings offer valuable insights into the dynamics of echo chambers in contemporary social media environments.