Trends and Topics: Characterizing Echo Chambers' Topological Stability and In-group Attitudes
Erica Cau, Virginia Morini, Giulio Rossetti

TL;DR
This paper presents a platform-independent framework to analyze the topological stability of echo chambers over time, considering content and attitudes, demonstrated through a case study on Reddit political discussions during Trump's presidency.
Contribution
It introduces a novel, four-step framework for analyzing echo chamber dynamics and attitudes, validated through a comprehensive case study on social media data.
Findings
Users tend to remain within echo chambers over time.
Discussions focus on right-wing topics and specific political events.
Attitudes become slightly more negative or neutral on sensitive issues.
Abstract
Social Network sites are fertile ground for several polluting phenomena affecting online and offline spaces. Among these phenomena are included echo chambers, closed systems in which the opinions expressed by the people inside are exacerbated for the effect of the repetition, while opposite views are actively excluded. This paper offers a framework to explore, in a platform-independent manner, the topological changes through time of echo chambers, while considering the content posted by users and the attitude conveyed in discussing specific controversial issues. The proposed framework consists of four steps: (i) data collection and annotation of users' ideology regarding a controversial topic, (ii) construction of a dynamic network of interactions, (iii) ECs extraction and analysis of their dynamics, and (iv) topic extraction and valence analysis. The paper then enhances the…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Social Media and Politics · Complex Network Analysis Techniques
