Network Structure and Patterns of Information Diversity on Twitter1
Open accessAbstract
Social media have great potential to support diverse information sharing, but there is widespread concern that platforms like Twitter do not result in communication between those who hold contradictory viewpoints. Because users can choose whom to follow, prior research suggests that social media users exist in echo chambers or become polarized. We seek evidence of this in a complete cross section of hyperlinks posted on Twitter, using previously validated measures of the political slant of news sources to study information diversity. Contrary to prediction, we find that the average account posts links to more politically moderate news sources than the ones they receive in their own feed. However, members of a tiny network core do exhibit cross-sectional evidence of polarization and are responsible for the majority of tweets received overall due to their popularity and activity, which could explain the widespread perception of polarization on social media.
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User leaning was also estimated by activity in specific groups, by semantics in the posts, calculation of political slant of visited websites by the user, and shared news URLs with news outlets leaning score.
“User leaning was also estimated by activity in specific groups (e.g., [59,127,143]), by semantics in the posts (e.g., [94,99,113]), calculation of political slant of visited websites by the user [124], shared news URLs with news outlets leaning score (e.g., [8,96,129]).”
From A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes (2025) · cites this paper as [124]
Cites
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250 · see citing works
The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits
Hansen, M. T. (1999) · Administrative Science Quarterly · doi:10.2307/2667032 · Cited by 5,809 · cited 2× · see citing works
“Network theory supports the notion that people in highly clustered positions in the social network are likely to be similar with respect to political slant: individuals in such dense clusters accrue shared, mutual knowledge as a consequence of communicating with each other (Granovetter, 1973; Hansen, 1999; Burt, 2004).”
BackgroundGroups of diverse problem solvers can outperform groups of high-ability problem solvers
Hong, L., & Page, S. E. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403723101 · Cited by 2,103 · see citing works
Complex Contagions and the Weakness of Long Ties
Centola, D., & Macy, M. (2007) · American Journal of Sociology · doi:10.1086/521848 · Cited by 1,878 · see citing works
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Social influence and unfollowing accelerate the emergence of echo chambers
Sasahara, K., Chen, W., Peng, H., Ciampaglia, G. L., Flammini, A., & Menczer, F. (2021) · Journal of Computational Social Science · doi:10.1007/s42001-020-00084-7 · Cited by 211 · see citing works
Hartmann, D., Wang, S. M., Pohlmann, L., & Berendt, B. (2025) · Journal of Computational Social Science · doi:10.1007/s42001-025-00381-z · Cited by 59 · see citing works
Pourazad, N., Stocchi, L., & Simmonds, L. (2025) · Information Technology & Tourism · doi:10.1007/s40558-025-00330-6 · Cited by 22 · see citing works
- Authors
- Shore, J., Baek, J., & Dellarocas, C.
- Affiliations
- Boston University (US)
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2018-09-01
- Volume
- 42
- Issue
- 3
- Pages
- 849-872
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2493650461
- Cited by
- 117
- References
- 4
- Citations by year
- 2026: 6 · 2025: 19 · 2024: 7 · 2023: 12 · 2022: 21 · 2021: 11 · 2020: 22 · 2019: 18 · 2012: 1
- FWCI
- 26.02
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- public-domain
- Locations
- MIS Quarterly (publishedVersion)
- arXiv (Cornell University) (submittedVersion, public-domain)
- Journal of the Association for Information Systems (submittedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- arXiv (Cornell University)
- Open Science Framework
- Topics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Keywords
- Twitter, information diversity, echo chambers, political polarization, hyperlink networks, social media, core network, information sharing
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