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CommunityData:Wikia rises and declines
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== Automated regulation == We will use Mako’s tool for scraping admin and bot data from Wikia to identify bot accounts and detect edits made by these tools. Find out if methods following (Geiger et al. 2012) can easily identify tool use on Wikia. === Rules === To measure rules we will track activity in namespace 4. Again following Halfaker et al. (2013) we use the following variables for norm “formalization”. * The number of total contributors who contributed to norms pages. * The number of contributions to norms pages * The change in page length in a norm category And the following variables for norm “calcification” * The time since the first edit of a norm page editor (slightly different from Halfaker et al. (2013). * Wiki age. We do not use the “Essay” category as it is Wikipedia specific. === Increasing newcomer activity === We will estimate the rate of change of newcomer activity according to the change in newcomer (the rate of editing by with accounts less than 2 months old) from one month to the next. The outcome variables in models 2-5 are also rates of change and likewise we can model using first differences. We will fit a number of alternative specifications using things like moving averages. We will aim to report the simplest model that makes a compelling and justified argument.
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