Talk:Program/Research on gender gap in Wikipedia: What do we know so far?
Study of the effect of editathon style interventions
Halfaker, A. (2017, August). Interpolating quality dynamics in wikipedia and demonstrating the keilana effect. In Proceedings of the 13th International Symposium on Open Collaboration (p. 19). ACM.
For open, volunteer generated content like Wikipedia, quality is a prominent concern. To measure Wikipedia’s quality, researchers have historically relied on expert evaluation or assessments of article quality by Wikipedians themselves. While both of these methods have proven effective for answering many questions about Wikipedia’s quality and processes, they are both problematic: expert evaluation is expensive and Wikipedian quality assessments are sporadic and unpredictable. Studies that explore Wikipedia’s quality level or the processes that result in quality improvements have only examined small snapshots of Wikipedia and often rely on complex propensity models to deal with the unpredictable nature of Wikipedians’ own assessments. In this paper, I describe a method for measuring article quality in Wikipedia historically and at a finer granularity than was previously possible. I use this method to demonstrate an important coverage dynamic in Wikipedia (specifically, articles about women scientists) and offer this method, dataset, and open API to the research community studying Wikipedia quality dynamics.
From the slides it seems that this useful summary on Meta was not used. It's a pity because it would have helped improve the quality of the information provided. --Nemo bis (talk) 08:41, 1 August 2018 (UTC)