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Learning to Predict the Quality of Contributions to Wikipedia
Gregory Druck and Gerome Miklau and Andrew McCallum
{gdruck,miklau,mccallum}@
Department of Computer Science
University of Massachusetts
Amherst, MA 01003
Abstract in debates on article discussion pages. These users are
sometimes referred to as “zealots” (Anthony, Smith, and
Although some have argued that Wikipedia’s open edit pol-
Williamson 2007), and studies claim that they are moti-
icy is one of the primary reasons for its success, it also raises
concerns about quality — vandalism, bias, and errors can be vated by a system of peer recognition that bears resemblance
problems. Despite these challenges, Wikipedia articles are to the academic community (Forte and Bruckman 2005).
often (perhaps surprisingly) of high quality, which many at- However, the contributions of “good Samaritan” users, who
tribute to both the dedicated Wikipedia community and “good edit articles but have no desire to participate in the com-
Samaritan” users. As Wikipedia continues to grow, however, munity, cannot not be underestimated (Anthony, Smith, and
it becomes more difficult for these users to keep up with the Williamson 2007).
increasing number of articles and edits. This motivates the As Wikipedia continues to
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