He says, she says: conflict and coordination in Wikipedia
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Talk Before You Type: Coordination in Wikipedia
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Description and Prediction of Slashdot Activity
LA-WEB '07 Proceedings of the 2007 Latin American Web Conference
Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Statistical analysis of the social network and discussion threads in slashdot
Proceedings of the 17th international conference on World Wide Web
Visual analysis of controversy in user-generated encyclopedias
Information Visualization - Special issue on visual analytics science and technology
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
The singularity is not near: slowing growth of Wikipedia
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
Wikipedia vandalism detection: combining natural language, metadata, and reputation features
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II
Co-authorship 2.0: patterns of collaboration in Wikipedia
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Collective memory building in Wikipedia: the case of North African uprisings
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Dynamical classes of collective attention in twitter
Proceedings of the 21st international conference on World Wide Web
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Wikipedia articles are by definition never finished: at any moment their content can be edited, or discussed in the associated talk pages. In this study we analyse the evolution of these discussions to unveil patterns of collective participation along the temporal dimension, and to shed light on the process of content creation on different topics. At a micro-scale, we investigate peaks in the discussion activity and we observe a non-trivial relationship with edit activity. At a larger scale, we introduce a measure to account for how fast discussions grow in complexity, and we find speeds that span three orders of magnitude for different articles. Our analysis should help the community in tasks such as early detection of controversies and assessment of discussion maturity.