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Cited by 2,619Social Media and PoliticsComplex Network Analysis TechniquesOpinion Dynamics and Social Influence

The political blogosphere and the 2004 U.S. election: divided they blog

Adamic, Lada A., Glance, Natalie·2005·Proceedings of the 3rd international workshop on Link discovery
DOI 10.1145/1134271.1134277
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Abstract

In this paper, we study the linking patterns and discussion topics of political bloggers. Our aim is to measure the degree of interaction between liberal and conservative blogs, and to uncover any differences in the structure of the two communities. Specifically, we analyze the posts of 40 "A-list" blogs over the period of two months preceding the U.S. Presidential Election of 2004, to study how often they referred to one another and to quantify the overlap in the topics they discussed, both within the liberal and conservative communities, and also across communities. We also study a single day snapshot of over 1,000 political blogs. This snapshot captures blogrolls (the list of links to other blogs frequently found in sidebars), and presents a more static picture of a broader blogosphere. Most significantly, we find differences in the behavior of liberal and conservative blogs, with conservative blogs linking to each other more frequently and in a denser pattern.

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Crossref · 10.1145/1134271.1134277

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Political blogs preferentially link to other blogs of the same political ideology.

    “Adamic and Glance (2005) famously demonstrated that political blogs preferentially link to other blogs of the same political ideology, a finding supported by the work of Hargittai, Gallo, and Kane (2007).”

    From Political Polarization on Twitter (2021) · cites this paper as Adamic and Glance (2005)

  • Politically active web users tend to organize into insular, homogenous communities segregated along partisan lines.

    “Despite this, some empirical evidence suggests that politically active web users tend to organize into insular, homogenous communities segregated along partisan lines.”

    From Political Polarization on Twitter (2021) · cites this paper as Adamic and Glance (2005)

  • Homophily among liberals and conservatives in political blogs links leads to echo chambers.

    “For example, homophily among liberals and conservatives in political blogs links (Adamic and Glance, 2005), i.e., the tendency of liberal and conservative blogs to link primarily within their separate communities, leads to echo chambers (Jasny et al., 2015;Garrett, 2009;Flaxman et al., 2016), and hence beliefs can be polarized due to such exposure to selective information (Bakshy et al., 2015).”

    From Credibility of climate change denial in social media (2019) · cites this paper as Adamic and Glance, 2005

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Sorted by citations

Authors
Adamic, L. A., & Glance, N.
Affiliations
  • Hewlett-Packard (United States) (US)
  • Intel (United States) (US)
ORCID
Glance, Natalie
Venue
Proceedings of the 3rd international workshop on Link discovery
Publisher
ACM
Published
2005-08-21
Pages
36-43
DOI
10.1145/1134271.1134277
OpenAlex
W2152284345
Cited by
2,619
References
0
Citations by year
2026: 57 · 2025: 105 · 2024: 99 · 2023: 120 · 2022: 150 · 2021: 186 · 2020: 202 · 2019: 164 · 2018: 200 · 2017: 186 · 2016: 180 · 2015: 139 · 2014: 188 · 2013: 139 · 2012: 113
FWCI
84.60
Type
conference paper
Language
en
Open access
closed
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Topics
  • Social Sciences › Communication › Social Media and Politics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
Keywords
political blogs, blogosphere, 2004 presidential election, online political communities, network density, online political discourse

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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.

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