Title |
Jointly They Edit: Examining the Impact of Community Identification on Political Interaction in Wikipedia
|
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Published in |
PLOS ONE, April 2013
|
DOI | 10.1371/journal.pone.0060584 |
Pubmed ID | |
Authors |
Jessica J. Neff, David Laniado, Karolin E. Kappler, Yana Volkovich, Pablo Aragón, Andreas Kaltenbrunner |
Abstract |
In their 2005 study, Adamic and Glance coined the memorable phrase 'divided they blog', referring to a trend of cyberbalkanization in the political blogosphere, with liberal and conservative blogs tending to link to other blogs with a similar political slant, and not to one another. As political discussion and activity increasingly moves online, the power of framing political discourses is shifting from mass media to social media. |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 22% |
Spain | 3 | 13% |
Italy | 3 | 13% |
Canada | 2 | 9% |
India | 1 | 4% |
United Kingdom | 1 | 4% |
Chad | 1 | 4% |
Portugal | 1 | 4% |
Unknown | 6 | 26% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 65% |
Scientists | 5 | 22% |
Science communicators (journalists, bloggers, editors) | 2 | 9% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 5% |
United Kingdom | 1 | 3% |
France | 1 | 3% |
Unknown | 34 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 21% |
Researcher | 8 | 21% |
Student > Master | 7 | 18% |
Professor > Associate Professor | 3 | 8% |
Student > Bachelor | 2 | 5% |
Other | 5 | 13% |
Unknown | 5 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 14 | 37% |
Computer Science | 7 | 18% |
Medicine and Dentistry | 2 | 5% |
Physics and Astronomy | 2 | 5% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 6 | 16% |
Unknown | 6 | 16% |