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The recent emergence of online citizen science is illustrative of anefficient and effective means to harness the crowd in order to achieve a rangeof scientific discoveries. Fundamentally, citizen science projects draw uponcrowds of non-expert volunteers to complete short Tasks, which can vary indomain and complexity. However, unlike most human-computational systems,participants in these systems, the `citizen scientists' are volunteers, wherebyno incentives, financial or otherwise, are offered. Furthermore, encouraged bycitizen science platforms such as Zooniverse, online communities have emerged,providing them with an environment to discuss, share ideas, and solve problems.In fact, it is the result of these forums that has enabled a number ofscientific discoveries to be made. In this paper we explore the phenomenon ofcollective intelligence via the relationship between the activities of onlinecitizen science communities and the discovery of scientific knowledge. Weperform a cross-project analysis of ten Zooniverse citizen science projects andanalyse the behaviour of users with regards to their Task completion activityand participation in discussion and discover collective behaviour amongsthighly active users. Whilst our findings have implications for future citizenscience design, we also consider the wider implications for understandingcollective intelligence research in general.

Collective Intelligence in Citizen Science -- A Study of Performers and Talkers