The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Quantifying Social Media’s Political Space: Estimating Ideology from Publicly Revealed Preferences on Facebook
Open accessAbstract
We demonstrate that social media data represent a useful resource for testing models of legislative and individual-level political behavior and attitudes. First, we develop a model to estimate the ideology of politicians and their supporters using social media data on individual citizens’ endorsements of political figures. Our measure allows us to place politicians and more than 6 million citizens who are active in social media on the same metric. We validate the ideological estimates that result from the scaling process by showing they correlate highly with existing measures of ideology from Congress, and with individual-level self-reported political views. Finally, we use these measures to study the relationship between ideology and age, social relationships and ideology, and the relationship between friend ideology and turnout.
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Cites
A 61-million-person experiment in social influence and political mobilization
Bond, R. M., Fariss, C. J., Jones, J. J., Kramer, A. D. I., Marlow, C., Settle, J. E., & Fowler, J. H. (2012) · Nature · doi:10.1038/nature11421 · Cited by 2,575
Self-citationA Note on Robust Variance Estimation for Cluster‐Correlated Data
Williams, R. L. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00645.x · Cited by 2,501
The Partisan Sort: How Liberals Became Democrats and Conservatives Became Republicans
Levendusky, M. (2009) · doi:10.7208/chicago/9780226473673.001.0001 · Cited by 1,698
Extracting Policy Positions from Political Texts Using Words as Data
LAVER, M., BENOIT, K., & GARRY, J. (2003) · American Political Science Review · doi:10.1017/s0003055403000698 · Cited by 1,377
Abramowitz, A. I., & Saunders, K. L. (2008) · The Journal of Politics · doi:10.1017/s0022381608080493 · Cited by 1,308
The Consequences of Cross-Cutting Networks for Political Participation
Mutz, D. C. (2002) · American Journal of Political Science · doi:10.2307/3088437 · Cited by 1,265 · cited 4×
“…on its own, considerable research has been applied to understanding how the makeup of an individual’s social network affects political participation (Eveland and Hively 2009; Huckfeldt, Johnson, and Sprague 2004; Huckfeldt, Mendez, and Osborn 2004; McClurg 2006; Mutz 2002; Scheufele et al. 2004).”
InfluentialHave American's Social Attitudes Become More Polarized?
DiMaggio, P., Evans, J., & Bryson, B. (1996) · American Journal of Sociology · doi:10.1086/230995 · Cited by 1,250
Birds of the Same Feather Tweet Together. Bayesian Ideal Point Estimation Using Twitter Data
Barbera, P. (2012) · doi:10.2139/ssrn.2108098 · Cited by 983
Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data
Barberá, P. (2015) · Political Analysis · doi:10.1093/pan/mpu011 · Cited by 982
Messing, S., & Westwood, S. J. (2014) · Communication Research · doi:10.1177/0093650212466406 · Cited by 902
Self-citation
Cited by
Exposure to ideologically diverse news and opinion on Facebook
Bakshy, E., Messing, S., & Adamic, L. A. (2015) · Science · doi:10.1126/science.aaa1160 · Cited by 3,245
Self-citationTweeting From Left to Right: Is Online Political Communication More Than an Echo Chamber?
Barberá, P., Jost, J. T., Nagler, J., Tucker, J. A., & Bonneau, R. (2015) · Psychological Science · doi:10.1177/0956797615594620 · Cited by 1,472
Mellon, J., & Prosser, C. (2017) · Research & Politics · doi:10.1177/2053168017720008 · Cited by 396
Frenemies: How Social Media Polarizes America
Settle, J. E. (2018) · doi:10.1017/9781108560573 · Cited by 377
Lee, C., Shin, J., & Hong, A. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2017.11.005 · Cited by 131
Metadata
- Authors
- BOND, R., & MESSING, S.
- Venue
- American Political Science Review
- Publisher
- Cambridge University Press (CUP)
- Published
- 2015-02
- Volume
- 109
- Issue
- 1
- Pages
- 62-78
- ISSN
- 0003-0554 (ISSN-L)
- 1537-5943
- OpenAlex
- W2163504599
- Cited by
- 198
- References
- 16
- FWCI
- 78.18
- Type
- journal article
- Language
- en
- Open access
- bronze
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