Dynamic debates: an analysis of group polarization over time on Twitter
Abstract
The principle of homophily says that people associate with other groups of people who are mostly like themselves. Many online communities are structured around groups of socially similar individuals. On Twitter, however, people are exposed to multiple, diverse points of view through the public timeline. The authors captured 30,000 tweets about the shooting of George Tiller, a late-term abortion doctor, and the subsequent conversations among pro-life and pro-choice advocates. They found that replies between like-minded individuals strengthen group identity, whereas replies between different-minded individuals reinforce in-group and out-group affiliation. Their results show that people are exposed to broader viewpoints than they were before but are limited in their ability to engage in meaningful discussion. They conclude with implications for different kinds of social participation on Twitter more generally.
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Internet connections can create antagonistic and emotional relations and facilitate group polarization, due to algorithmic logic and lack of regulations on several platforms.
“Furthermore, Internet connections can create antagonistic and emotional relations and facilitate group polarization, due to algorithmic logic and lack of regulations on several platforms (Sarita Yardi and Danah Boyd 2010; Merlyna Lim 2017; Giulia Evolvi 2017).”
From “Victims of feminism”: exploring networked misogyny and #MeToo in the manosphere (2023) · cites this paper as Sarita Yardi and Danah Boyd 2010
Studies on social media have found limited evidence for homogeneous clusters on most social media platforms; users may be unlikely to rebroadcast opposing content but are often exposed to it and may respond.
“Studies on social media have found limited evidence for the described homogeneous clusters on most social media platforms: while users may be unlikely to rebroadcast content from the opposing side, they are often exposed to it and may even respond (11, 62–69).”
From How digital media drive affective polarization through partisan sorting (2022) · cites this paper as [68]
The distinct topologies of the retweet and mention networks can be explained in part by politically motivated individuals injecting partisan content into information streams whose primary audience consists of ideologically opposed users.
“To explain the distinct topologies of the retweet and mention networks we conjecture that politically motivated individuals provoke interaction by injecting partisan content into information streams whose primary audience consists of ideologically-opposed users.”
From Political Polarization on Twitter (2021) · cites this paper as Yardi and boyd (2010)
There is substantial evidence that segregated online communities emerge around politically contentious topics.
“Although recent evidence suggests that general information consumption on social media might not be an echo-chamber for many users (21, 22), there is nevertheless substantial evidence supporting the argument that segregated online communities emerge around politically contentious topics (23, 19, 24, 25, 26, 27, 20).”
From Troll and divide: the language of online polarization (2022) · cites this paper as [20]
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- Authors
- Yardi, S., & Boyd, D.
- Affiliations
- Georgia Institute of Technology (US)
- Microsoft Research New England (United States) (US)
- Corresponding author
- Yardi, Sarita
- ORCID
- Boyd, Danah
- Venue
- Bulletin of Science, Technology & Society
- Publisher
- SAGE Publications
- Published
- 2010-09-14
- Volume
- 30
- Issue
- 5
- Pages
- 316-327
- ISSN
- 0270-4676 (ISSN-L)
- 1552-4183
- OpenAlex
- W2063288519
- Cited by
- 625
- References
- 31
- Citations by year
- 2026: 12 · 2025: 18 · 2024: 29 · 2023: 42 · 2022: 51 · 2021: 70 · 2020: 69 · 2019: 45 · 2018: 56 · 2017: 45 · 2016: 38 · 2015: 38 · 2014: 44 · 2013: 29 · 2012: 31
- FWCI
- 73.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Bulletin of Science Technology & Society (publishedVersion)
- Topics
- Social Sciences › Communication › Social Media and Politics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- group polarization, Twitter, homophily, online communities, group identity, social media debate
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