The work presented in the article “Consensus Dynamics in Online Collaboration Systems” was conducted by Ilire Hasani-Mavriqi, Dominik Kowald and Elisabeth Lex from the Social Computing team of the Know Center in a closed collaboration with Denis Helic from the Institute of Interactive Systems and Data Science of Graz University of Technology.

Authors studied consensus building processes taking place in everyday learning environments, such as online collaboration systems. Typically, learners turn to everyday learning environments with the aim to seek for online help. In this context, consensus building processes include learners’ interactions while understanding and defining certain problems, exchanging opinions, identifying the experts in the field, analysing possible solutions and building a consensus on a best provided solution. In particular, authors investigated how learners’ similarity and their social status in the community, as well as the interplay of those two factors influence the process of consensus building. The findings presented in this article show that when learners are guided by their similarity to other learners the process of consensus building in online collaboration systems is delayed. A suitable increase of influence of social status on their actions can in turn facilitate this process.  Consequently, a careful balance between these two factors can lead to an optimal configuration for a faster consensus.

Link to the pre-print:

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