| Title |
Dynamics of Conflicts in Wikipedia
|
|---|---|
| Published in |
PLOS ONE, June 2012
|
| DOI | 10.1371/journal.pone.0038869 |
| Pubmed ID | |
| Authors |
Taha Yasseri, Robert Sumi, András Rung, András Kornai, János Kertész |
| Abstract |
In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previously established algorithm, we build up samples of controversial and peaceful articles and analyze the temporal characteristics of the activity in these samples. On short time scales, we show that there is a clear correspondence between conflict and burstiness of activity patterns, and that memory effects play an important role in controversies. On long time scales, we identify three distinct developmental patterns for the overall behavior of the articles. We are able to distinguish cases eventually leading to consensus from those cases where a compromise is far from achievable. Finally, we analyze discussion networks and conclude that edit wars are mainly fought by few editors only. |
X Demographics
The data shown below were collected from the profiles of 101 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 | 18 | 18% |
| France | 6 | 6% |
| Italy | 4 | 4% |
| United Kingdom | 4 | 4% |
| Australia | 3 | 3% |
| Canada | 3 | 3% |
| Ireland | 3 | 3% |
| Japan | 3 | 3% |
| Spain | 3 | 3% |
| Other | 16 | 16% |
| Unknown | 38 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 79 | 78% |
| Scientists | 20 | 20% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 5% |
| Germany | 4 | 2% |
| Finland | 4 | 2% |
| Spain | 4 | 2% |
| United Kingdom | 4 | 2% |
| France | 3 | 1% |
| Italy | 3 | 1% |
| Canada | 3 | 1% |
| Australia | 2 | <1% |
| Other | 10 | 4% |
| Unknown | 195 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 22% |
| Researcher | 48 | 20% |
| Student > Master | 43 | 18% |
| Other | 17 | 7% |
| Student > Bachelor | 16 | 7% |
| Other | 41 | 17% |
| Unknown | 24 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 77 | 32% |
| Social Sciences | 47 | 19% |
| Physics and Astronomy | 21 | 9% |
| Psychology | 11 | 5% |
| Agricultural and Biological Sciences | 9 | 4% |
| Other | 47 | 19% |
| Unknown | 31 | 13% |