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Echo Chambers and Fragmented Public Opinion in U.S. Social Media Communication
DOI: https://doi.org/10.62381/ACS.HSMS2026.17
Author(s)
Han Yan
Affiliation(s)
College of Professional Studies, Northeastern University, Boston, USA *Corresponding Author
Abstract
With the spread of algorithm-driven social media platforms, US citizens have learned about politics in a new way, and at the same time, a problem of an echo chamber has emerged that intensifies ideological division and polarizes public discourse. Twelve peer-reviewed journal articles published between 2023 and 2026 have been collected to explore both the empirical and theoretical foundations of the echo chamber hypothesis across the four main platforms: Facebook, X (formerly Twitter), YouTube and TikTok. Rather than viewing algorithmic curation as a single, uniformly polarizing force, this paper breaks down the four interacting mechanisms of algorithmic recommendation, selective exposure and network homophily, cross-platform structural variation, and misinformation diffusion, and examines how they jointly promote the fragmentation of public opinion. Recent field experiments have shown that the algorithmic effects reported in these recent field studies are much weaker and more conditional than those suggested by earlier observational studies; however, research that isolates partisan-animosity content, verified-user prioritization, and acrophilic network ties has found robust, platform-specific contributions to affective polarisation. An integrated feedback mechanism has been introduced, and algorithmic curation, user-level selective behaviour, and engagement-driven platform design are recursively reinforced to produce fragmentation that is neither purely technological nor purely psychological in origin. Finally, the paper proposes countermeasures for platform governance, content-level regulation, and forward-looking longitudinal and cross-platform research designs that can separate these intertwined mechanisms.
Keywords
Echo Chambers; Fragmented Public Opinion; Social Media Communication; Algorithmic Curation; Selective Exposure; Political Polarization
References
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