Study of the effect of editathon style interventions
A PDF of the paper
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.
Latest comment: 6 years ago1 comment1 person in discussion
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)Reply
