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The Digital Evolution of Occupy Wall Street

Overview of attention for article published in PLOS ONE, May 2013
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news
8 news outlets
blogs
4 blogs
twitter
119 X users
facebook
3 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
3 Google+ users

Citations

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151 Dimensions

Readers on

mendeley
216 Mendeley
citeulike
1 CiteULike
Title
The Digital Evolution of Occupy Wall Street
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0064679
Pubmed ID
Authors

Michael D. Conover, Emilio Ferrara, Filippo Menczer, Alessandro Flammini

Abstract

We examine the temporal evolution of digital communication activity relating to the American anti-capitalist movement Occupy Wall Street. Using a high-volume sample from the microblogging site Twitter, we investigate changes in Occupy participant engagement, interests, and social connectivity over a fifteen month period starting three months prior to the movement's first protest action. The results of this analysis indicate that, on Twitter, the Occupy movement tended to elicit participation from a set of highly interconnected users with pre-existing interests in domestic politics and foreign social movements. These users, while highly vocal in the months immediately following the birth of the movement, appear to have lost interest in Occupy related communication over the remainder of the study period.

X Demographics

X Demographics

The data shown below were collected from the profiles of 119 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 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Netherlands 2 <1%
Ireland 2 <1%
Spain 2 <1%
Brazil 2 <1%
France 1 <1%
Portugal 1 <1%
Switzerland 1 <1%
Finland 1 <1%
Other 6 3%
Unknown 192 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 24%
Student > Master 33 15%
Researcher 32 15%
Student > Bachelor 25 12%
Student > Doctoral Student 17 8%
Other 33 15%
Unknown 24 11%
Readers by discipline Count As %
Social Sciences 77 36%
Computer Science 35 16%
Arts and Humanities 14 6%
Business, Management and Accounting 13 6%
Psychology 10 5%
Other 39 18%
Unknown 28 13%