Specific behaviours in Wikipedia talk pages: some insights from extreme cases

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Based on a dataset of 3.4 million threads from English Wikipedia talk pages, we specifically focus on extreme cases. We propose a qualitative analysis of the most prolific message authors, the longest threads in terms of messages, contributors and durations, as well as the longest monologues (single-user threads). These case studies allow us to identify a number of behaviours that can significantly differ from the typical discussions between Wikipedians. If some threads do not have a real dialogic status (polls, monologues, logbooks and diaries), some of them push online communication to its limits across time. These sometimes unexpected behaviours can help us get a more precise understanding of this unique source of computer-mediated communication data.

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