The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Birds of a Feather Tweet Together: Integrating Network and Content Analyses to Examine Cross-Ideology Exposure on Twitter
Open accessAbstract
This study integrates network and content analyses to examine exposure to cross-ideological political views on Twitter.We mapped the Twitter networks of 10 controversial political topics, discovered clusters -subgroups of highly self-connected users -and coded messages and links in them for political orientation.We found that Twitter users are unlikely to be exposed to cross-ideological content from the clusters of users they followed, as these were usually politically homogeneous.Links pointed at grassroots web pages (e.g.: blogs) more frequently than traditional media websites.Liberal messages, however, were more likely to link to traditional media.Last, we found that more specific topics of controversy had both conservative and liberal clusters, while in broader topics, dominant clusters reflected conservative sentiment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Birds of a Feather: Homophily in Social Networks
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001) · Annual Review of Sociology · doi:10.1146/annurev.soc.27.1.415 · Cited by 18,567
Social Network Analysis: Methods and Applications
Wasserman, S. S., & Faust, K. (1994) · Cited by 17,961
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251
The Virtual Community: Homesteading on the Electronic Frontier
Rheingold, H. (1994) · Cited by 5,645
The Structural Transformation of the Public Sphere
(2006) · Habermas · doi:10.4324/9780203020166-5 · Cited by 4,779
The political blogosphere and the 2004 U.S. election: divided they blog
Adamic, L. A., & Glance, N. (2005) · Proceedings of the 3rd international workshop on Link discovery · doi:10.1145/1134271.1134277 · Cited by 2,619
The Structural Transformation of the Public Sphere: An Inquiry Into a Category of Bourgeois Society
Trey, G. A., & Radical Philosophy Association (1991) · Radical Philosophy Review of Books · doi:10.5840/radphilrevbooks1991411 · Cited by 2,496
Models and Methods in Social Network Analysis
(2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511811395 · Cited by 2,441
Between past and future eight exercises in political thought
Arendt, H. (1987) · Cited by 2,373
Detecting community structure in networks
Newman, M. E. J. (2004) · The European Physical Journal B - Condensed Matter · doi:10.1140/epjb/e2004-00124-y · Cited by 2,028
Cited by
The echo chamber effect on social media
Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023301118 · Cited by 2,092
“Some studies point out echo chambers as an emerging effect of human tendencies, such as selective exposure, contagion, and group polarization (13, 23, 29–31).”
BackgroundThe echo chamber is overstated: the moderating effect of political interest and diverse media
Dubois, E., & Blank, G. (2018) · Information, Communication & Society · doi:10.1080/1369118x.2018.1428656 · Cited by 1,055
Curated Flows: A Framework for Mapping Media Exposure in the Digital Age
Thorson, K., & Wells, C. (2016) · Communication Theory · doi:10.1111/comt.12087 · Cited by 570
Online misinformation about climate change
Treen, K. M. D., Williams, H. T. P., & O'Neill, S. J. (2020) · WIREs Climate Change · doi:10.1002/wcc.665 · Cited by 441
Brady, W. J., Crockett, M. J., & Van Bavel, J. J. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691620917336 · Cited by 417
Metadata
- Authors
- Himelboim, I., McCreery, S., & Smith, M.
- Venue
- Journal of Computer-Mediated Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-01
- Volume
- 18
- Issue
- 2
- Pages
- 40-60
- ISSN
- 1083-6101 (ISSN-L)
- OpenAlex
- W2021715735
- Cited by
- 511
- References
- 46
- FWCI
- 124.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Birds of a Feather Tweet Together: Integrating Network and Content Analyses to Examine Cross-Ideology Exposure on Twitter. https://app.cochat.ai/papers/10.1111/jcc4.12001
- The paper
- Himelboim, I., McCreery, S., & Smith, M. (2013). Birds of a Feather Tweet Together: Integrating Network and Content Analyses to Examine Cross-Ideology Exposure on Twitter. Journal of Computer-Mediated Communication. https://doi.org/10.1111/jcc4.12001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.