Rethinking the fragmentation of the cyberpublic: from consensus to contestation
Abstract
Recently there has been some debate between deliberative democrats about whether the internet is leading to the fragmentation of communication into `like-minded' groups.This article is concerned with what is held in common by both sides of the debate: a public sphere model that aims for all-inclusive, consensus seeking rational deliberation that eliminates inter-group `polarizing' politics. It argues that this understanding of deliberative democracy fails to adequately consider the asymmetries of power through which deliberation and consensus are achieved, the inter-subjective basis of meaning, the centrality of respect for difference in democracy, and the democratic role of `like-minded' deliberative groups.The deliberative public sphere must be rethought to account more fully for these four aspects. The article draws on post-Marxist discourse theory and reconceptualizes the public sphere as a space constituted through discursive contestation.Taking this radicalized norm, it considers what research is needed to understand the democratic implications of the formation of `like-minded' groups online.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Conover et al. rely on the mention graph in Twitter to detect controversies.
“Conover et al. [10] rely on the mention graph in Twitter to detect controversies.”
From Quantifying controversy on social media (2018) · cites this paper as [10]
Prior work identifies controversies by comparing the structure of the graph with randomly permuted ones.
“Prior work identifies controversies by comparing the structure of the graph with randomly permuted ones [10].”
From Quantifying controversy on social media (2018) · cites this paper as [10]
Cites
Warner, M. (2002) · Public Culture · doi:10.1215/08992363-14-1-49 · Cited by 3,862 · see citing works
Radical Media: Rebellious Communication and Social Movements
Downing, J. (2001) · doi:10.4135/9781452204994 · Cited by 1,184 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Quantifying controversy on social media
Garimella, K., Morales, G. D. F., Gionis, A., & Mathioudakis, M. (2018) · ACM Transactions on Social Computing · doi:10.1145/3140565 · Cited by 348 · see citing works
Decentralized social networks and the future of free speech online
Huang, T. (2024) · Computer Law & Security Review · doi:10.1016/j.clsr.2024.106059 · Cited by 15 · see citing works
- Authors
- Dahlberg, L.
- Affiliations
- The University of Queensland (AU)
- Corresponding author
- Dahlberg, Lincoln
- ORCID
- Dahlberg, Lincoln
- Venue
- New Media & Society
- Publisher
- SAGE Publications
- Published
- 2007-10
- Volume
- 9
- Issue
- 5
- Pages
- 827-847
- ISSN
- 1461-4448 (ISSN-L)
- 1461-7315
- OpenAlex
- W2148903418
- Cited by
- 366
- References
- 2
- Citations by year
- 2026: 10 · 2025: 9 · 2024: 11 · 2023: 15 · 2022: 17 · 2021: 14 · 2020: 35 · 2019: 24 · 2018: 25 · 2017: 29 · 2016: 27 · 2015: 27 · 2014: 21 · 2013: 29 · 2012: 25
- FWCI
- 40.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- New Media & Society (publishedVersion)
- Topics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Political Science and International Relations › Political Theory and Democracy
- Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
- Keywords
- public sphere, deliberative democracy, online polarization, consensus, power imbalance, respect for differences, discursive contestation, internet and democracy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review