Predicting conflict-prone disputes using the structure of turn-taking: the case of Wikipedia. Issue 13 (3rd October 2022)

• Record Type: Journal Article
• Authors: Ziembowicz, Karolina; Roszczyńska-Kurasińska, Magdalena; Rychwalska, Agnieszka; Nowak, Andrzej
• Is Part Of: Information, communication & society. Volume 25:Issue 13(2022)
• Page Start: 1987
• Page End: 2005
• Publication Date: 2022-10-03
• Subjects: turn-taking -- discussion threads -- conflict -- content analysis -- Wikipedia; Information technology -- Social aspects -- Periodicals; Information technology -- Economic aspects -- Periodicals; Information technology -- Political aspects -- Periodicals; Internet -- Periodicals; World Wide Web -- Periodicals; 303.4833
• DOI: 10.1080/1369118X.2021.1924224
• Languages: English
• ISSNs: 1369-118X

Abstract

ABSTRACT: Detection of conflict-prone discussions on online social platforms can help moderate debates and prevent negative social processes such as the formation of echo chambers or polarization of opinions. Here, we examined how controversy of a discussion topic can be estimated from formal characteristics of discussion threads on the English Wikipedia. We discovered that dyadic turn-taking patterns tended to convey highly emotional, personal content, disagreement, and words relating to the conflict. Using the fraction of such two-person patterns in the multi-person discussion as a predictor, we were able to classify effective and conflict-prone discussions with 80% accuracy. These results show that monitoring of turn-taking patterns may become one of the easy heuristics that help detect conflicts in task-oriented online groups.