Chapter 3
Exploring interactions in Wikipedia talk pages
In this chapter we analyze how users interact on Wikipedia talk
pages, focusing on the patterns that emerge from a large corpus
of 5 million threads across three languages. These patterns take three
simple features into account: who posts, when they post, and after whom they
post. We begin with an overview and a closer examination of some extreme
behaviours: threads with the highest number of users and posts, or those
with the longest duration. We then propose fine-grained typologies to
analyze the content of a sample of monologal and trilogal openings. This
analysis allows us to identify recurring behaviours, some of which we
consider specific to the Wikipedia and its contributors, and others more
common in online discussions.
Article outline
- 1.Introduction
- 2.What corpus framework is suitable for exploring Wikipedia Talk
Pages?
- 2.1Wikipedia talk pages
- 2.2A corpus framework for exploring
interactions
- 3.A coarse-grained view of Wikipedia talks
- 3.1Talks as sequences
- 3.2Data overview
- 3.3A look at extreme behaviors
- 3.3.1The longest threads
- 3.3.2The most populated threads
- 3.3.3The longest-lasting talks
- 3.4Interaction patterns
- 4.Case studies: Monologues and trilogues
- 4.1AA openings and monologues: Are Wikipedia talks really talks?
- 4.1.1AA openings
- 4.1.2Long monologues
- 4.2ABC openings and multiparty conversations
- 4.2.1Why is C posting a message?
- 4.2.2Does C align with A and/or B?
- 5.Discussion
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Notes
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References
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