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Cited by 294

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Social Networks that Matter: Exploring the Role of Political Discussion for Online Political Participation

Valenzuela, S., Kim, Y., Gil de Zuniga, H.·2012·International Journal of Public Opinion Research

Abstract

We examine the relationship between citizen-to-citizen discussions and online political participation considering various attributes of individuals’ social networks: Modality, discussants’ ties, diversity of opinions, and quality of argumentation. Using a national survey of U.S. residents we find that communication within networks is a significant predictor of web-based forms of political engagement, after controlling for offline participation, political orientations, news use, and socio-demographics. Consistent with the “strength of weak ties” argument, larger online networks and weak-tie discussion frequency are associated with online participation. While like-minded discussions are positively related to online participation, discussions with people who are not of like mind correlate negatively with it. Online network size and reasoning discussions were positively related to online participation, although these associations were rather weak compared to the role of other network characteristics.

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Metadata

Authors
Valenzuela, S., Kim, Y., & Gil de Zuniga, H.
Venue
International Journal of Public Opinion Research
Published
2011-11-29
Volume
24
Issue
2
Pages
163-184
ISSN
  • 0954-2892 (ISSN-L)
  • 1471-6909
OpenAlex
W2142793955
Cited by
294
References
3
FWCI
38.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Social Networks that Matter: Exploring the Role of Political Discussion for Online Political Participation. https://app.cochat.ai/papers/10.1093/ijpor/edr037
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Valenzuela, S., Kim, Y., & Gil de Zuniga, H. (2012). Social Networks that Matter: Exploring the Role of Political Discussion for Online Political Participation. International Journal of Public Opinion Research. https://doi.org/10.1093/ijpor/edr037

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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.