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Public deliberation on government-managed social media: A study on Weibo users in China
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“The ability of algorithms to provide personalized content by filtering out inputs that do not match pre-existing user preferences (in e.g., news, entertainment, political discourse) is potentially bringing about societal fragmentation, polarization, and radicalization, with the creation of digital echo chambers (Medaglia & Zhu, 2017).”
From Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2021) · cites this paper as Medaglia & Zhu, 2017
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Metadata
- Authors
- Medaglia, R., & Zhu, D.
- Affiliations
- Copenhagen Business School (DK)
- Tongji University (CN)
- Corresponding author
- Medaglia, Rony
- Venue
- Government Information Quarterly
- Publisher
- Elsevier BV
- Published
- 2017-09
- Volume
- 34
- Issue
- 3
- Pages
- 533-544
- ISSN
- 0740-624X (ISSN-L)
- OpenAlex
- W2616625730
- Cited by
- 114
- References
- 131
- Citations by year
- 2026: 9 · 2025: 11 · 2024: 14 · 2023: 17 · 2022: 23 · 2021: 10 · 2020: 14 · 2019: 9 · 2018: 4 · 2017: 3
- FWCI
- 19.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Government Information Quarterly (publishedVersion)
- CBS Research Portal (Copenhagen Business School) (publishedVersion)
- Funders
- Sino-Danish Center for Education and Research (SDC)
- Topics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Social Sciences › Communication › Public Relations and Crisis Communication
- Keywords
- public deliberation, government social media, Weibo, citizen participation, homophily, political polarization, Chinese social media users
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