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More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behavior

Overview of attention for article published in PLOS ONE, November 2013
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Mentioned by

news
14 news outlets
blogs
2 blogs
policy
1 policy source
twitter
57 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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242 Dimensions

Readers on

mendeley
398 Mendeley
Title
More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behavior
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0079449
Pubmed ID
Authors

Joseph DiGrazia, Karissa McKelvey, Johan Bollen, Fabio Rojas

Abstract

Is social media a valid indicator of political behavior? There is considerable debate about the validity of data extracted from social media for studying offline behavior. To address this issue, we show that there is a statistically significant association between tweets that mention a candidate for the U.S. House of Representatives and his or her subsequent electoral performance. We demonstrate this result with an analysis of 542,969 tweets mentioning candidates selected from a random sample of 3,570,054,618, as well as Federal Election Commission data from 795 competitive races in the 2010 and 2012 U.S. congressional elections. This finding persists even when controlling for incumbency, district partisanship, media coverage of the race, time, and demographic variables such as the district's racial and gender composition. Our findings show that reliable data about political behavior can be extracted from social media.

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 398 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 6 2%
United States 4 1%
United Kingdom 2 <1%
Brazil 2 <1%
France 1 <1%
Korea, Republic of 1 <1%
Australia 1 <1%
Malaysia 1 <1%
Mexico 1 <1%
Other 3 <1%
Unknown 376 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 21%
Student > Master 73 18%
Student > Bachelor 50 13%
Researcher 40 10%
Student > Doctoral Student 21 5%
Other 65 16%
Unknown 65 16%
Readers by discipline Count As %
Social Sciences 136 34%
Computer Science 70 18%
Business, Management and Accounting 29 7%
Psychology 20 5%
Economics, Econometrics and Finance 10 3%
Other 52 13%
Unknown 81 20%