Yasseri has studied the statistical trends of systemic bias at Wikipedia introduced by editing conflicts and their resolution.[16] His research examined the counterproductive work behavior of edit warring. Yasseri contended that simple reverts or "undo" operations were not the most significant measure of counterproductive behavior at Wikipedia and relied instead on the statistical measurement of detecting "reverting/reverted pairs" or "mutually reverting edit pairs". Such a "mutually reverting edit pair" is defined where one editor reverts the edit of another editor who then, in sequence, returns to revert the first editor. The results were tabulated for several language versions of Wikipedia. The English Wikipedia's three largest conflict rates belonged to the articles George W. Bush, Anarchism and Muhammad. By comparison, for the German Wikipedia, the three largest conflict rates at the time of the study were for the articles covering Croatia, Scientology and 9/11 conspiracy theories.[17]
In a study published by PLoS ONE in 2012 he estimated the share of contributions to different editions of Wikipedia from different regions of the world. It reported that the proportion of the edits made from North America was 51% for the English Wikipedia, and 25% for the simple English Wikipedia.[18] The Wikimedia Foundation hoped to increase the number of editors in the Global South to 37% by 2015.[citation needed]
Machine sociology and bots conflict
In a 2017 article titled "Even Good Bots Fight",[19] Yasseri and his colleagues studied interactions between Wikipedia bots. Their work illustrating the unpredictable and somewhat surprising social interactions between bots, ignited a discussion on the topic of machine sociology and the human-like behaviour of systems of semi-autonomous agents such as Wikipedia bots.[20] Yasseri argues that even simple and predictable bots with a common goal and design might show unpredictable emergent behaviour when deployed at mass scale.[21]
Social media and politics
Yasseri has studied the role of social media in politics. He has used Wikipedia page view statistics and Google search volumes to understand and potentially predict electoral popularity in different countries.[22] He has co-written Political Turbulence; How Social Media Shape Collective Action[23][24] which was selected among the best politics books of 2016 by The Guardian[25] and was awarded the Political Studies Association book of the year award.[26]
^Samoilenko, Anna; Yasseri, Taha (2014). "The distorted mirror of Wikipedia: a quantitative analysis of Wikipedia coverage of academics". EPJ Data Science. 3 (1). Springer Publishing. arXiv:1310.8508. doi:10.1140/epjds20. S2CID4971771.
^Schellekensa, Menno H.; Holstegeb, Floris; Yasseria, Taha (2019). "Female scholars need to achieve more for equal public recognition". arXiv:1904.06310.
^Margetts, Helen; John, Peter; Hale, Scott A.; Yasseri, Taha (2016). Political turbulence: how social media shape collective action. Princeton, New Jersey: Princeton University Press. ISBN9780691159225.