Journal article
Understanding and coping with extremism in an online collaborative environment: A data-driven modeling
- Abstract:
- The Internet has provided us with great opportunities for large scale collaborative public good projects. Wikipedia is a predominant example of such projects where conflicts emerge and get resolved through bottom-up mechanisms leading to the emergence of the largest encyclopedia in human history. Disaccord arises whenever editors with different opinions try to produce an article reflecting a consensual view. The debates are mainly heated by editors with extreme views. Using a model of common value production, we show that the consensus can only be reached if groups with extreme views can actively take part in the discussion and if their views are also represented in the common outcome, at least temporarily. We show that banning problematic editors mostly hinders the consensus as it delays discussion and thus the whole consensus building process. To validate the model, relevant quantities are measured both in simulations and Wikipedia, which show satisfactory agreement. We also consider the role of direct communication between editors both in the model and in Wikipedia data (by analyzing the Wikipedia talk pages). While the model suggests that in certain conditions there is an optimal rate of “talking” vs “editing”, it correctly predicts that in the current settings of Wikipedia, more activity in talk pages is associated with more controversy.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 10.9MB, Terms of use)
-
- Publisher copy:
- 10.1371/journal.pone.0173561
Authors
+ European Union
More from this funder
- Funding agency for:
- Yasseri, T
- Grant:
- Horizon2020 (645043
- "HUMANE"
- Publisher:
- Public Library of Science
- Journal:
- PLoS ONE More from this journal
- Volume:
- 12
- Issue:
- 3
- Article number:
- e0173561
- Publication date:
- 2017-01-01
- Acceptance date:
- 2016-11-24
- DOI:
- ISSN:
-
1932-6203
- Keywords:
- Pubs id:
-
pubs:636802
- UUID:
-
uuid:d9195b31-6a4d-4498-8128-35560e3706ac
- Local pid:
-
pubs:636802
- Source identifiers:
-
636802
- Deposit date:
-
2016-08-28
Terms of use
- Copyright holder:
- Rudas et al
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 Rudas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record