Cited by 109Misinformation and Its ImpactsSocial Media and PoliticsComplex Network Analysis Techniques

Echo chamber effects on short video platforms

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Gao, Yichang, Liu, Fengming, Gao, Lei·2023·Scientific Reports

Abstract

In recent years, short videos have become an increasingly vital source of information. To compete for users’ attention, short video platforms have been overusing algorithmic technology, making the group polarization intensify, which is likely to push users into the homogeneous “echo chamber”. However, echo chambers can contribute to the spread of misleading information, false news, or rumors, which have negative social impacts. Therefore, it is necessary to explore echo chamber effects in short video platforms. Moreover, the communication paradigms between users and feed algorithms greatly vary across short video platforms. This paper investigated echo chamber effects of three popular short video platforms (Douyin, TikTok, and Bilibili) using social network analysis and explored how user features influenced the generation of echo chambers. We quantified echo chamber effects through two primary ingredients: selective exposure and homophily, in both platform and topic dimensions. Our analyses indicate that the gathering of users into homogeneous groups dominates online interactions on Douyin and Bilibili. We performed performance comparison of echo chamber effects and found that echo chamber members tend to display themselves to attract the attention of their peers and that cultural differences can prevent the development of echo chambers. Our findings are of great value in designing targeted management strategies to prevent the spread of misleading information, false news, or rumors.

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  • Culture or demographics drive polarization and echo chambers.

    “novel research [61,64,92] finds that culture or demographics drive polarization and echo chambers.”

    From A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes (2025) · cites this paper as [64]

    The Introduction and Conclusion say cultural differences among platform users can hinder the development of echo chambers, so the source supports a cultural influence on echo chambers. It does not establish that culture drives polarization, and its Results describe members’ ages and other characteristics without showing that demographics drive either outcome. No page numbers are available in our copy. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • Gao et al. analyzed platforms such as Douyin, TikTok, and Bilibili, demonstrating how feed algorithms foster selective exposure and homophily, contributing to echo chamber formation, while cultural differences can correlate with the development of echo chambers.

    “However, a study by Gao et al. [64] analyzed platforms such as Douyin, TikTok, and Bilibili, demonstrating how feed algorithms foster selective exposure and homophily, ultimately contributing to echo chamber formation, while also highlighting that cultural differences can correlate with the development of echo chambers and their influence is not equivalently likely for each community and culture.”

    From A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes (2025) · cites this paper as [64]

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Cited by

Sorted by citations

Authors
Gao, Y., Liu, F., & Gao, L.
Affiliations
  • Commonwealth Scientific and Industrial Research Organisation (AU)
  • Shandong Normal University (CN)
Corresponding author
  • Liu, Fengming
  • Gao, Lei
Venue
Scientific Reports
Published
2023-04-18
Volume
13
Issue
1
Pages
6282-6282
ISSN
2045-2322 (ISSN-L)
OpenAlex
W4366279712
Cited by
109
References
5
Citations by year
2026: 46 · 2025: 42 · 2024: 16 · 2023: 4 · 2022: 1
FWCI
37.14
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Shandong Natural Science Foundation (ZR2020MG003)
  • Special Project for internet Development of Social Science Planning Special Program of Shandong Province (17CHLJ23)
  • National Social Science Fund of China (21BGL001)
  • National Natural Science Foundation of China (71701115)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Communication › Social Media and Politics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords
echo chambers, short video platforms, algorithmic recommendation, selective exposure, homophily, group polarization, misinformation, fake news, rumors, Douyin, TikTok, Bilibili, user attention, cultural differences

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