View source for Research:Metrics/revert rate

== Usage ==
* Halfaker et al. used the rate of reverts in an editor's recent history as well as tenure, experience and [[Research:Metrics/content persistence|content persistence]] to predict the quality of work that editors performed to build a model for predicting reverting behavior in the English Wikipedia<ref name="halfaker09jury">Aaron Halfaker, Aniket Kittur, Robert E. Kraut, & John Riedl. (2009). [http://grouplens.org/system/files/Halfaker09AJuryOfYourPeers_personal_0.pdf A Jury of Your Peers: Quality, Experience and Ownership in Wikipedia], The 5th International Symposium on Wiki's and Open Collaboration Article 15, 10 pages. 10.1145/1641309.1641332</ref>.
* Halfaker et al. used the rate of reverts for an editor before and after a revert event to look for learning effects<ref name="halfaker11nice">Aaron Halfaker, Bryan Song, D. Alex Stuart, Aniket Kittur, & John Riedl. (2011). [http://www.grouplens.org/system/files/halfaker11nice.personal.pdf NICE: Social translucence through UI intervention], The 7th International Symposium on Wiki's and Open Collaboration (pp. 101-104). 10.1145/2038558.2038575</ref>
* Halfaker et al. used the rate of reverts for an editor in the days before and after revert events to identify a learning effect<ref name="halfaker11bite">Aaron Halfaker, Aniket Kittur, & John Riedl (2011). [http://www.grouplens.org/system/files/halfaker11bite.personal.pdf Don't bite the Newbies: How reverts effect the quantity and quality of Wikipedia work], The 7th International Symposium on Wiki's and Open Collaboration (pp. 163-172). 10.1145/2038558.2038585</ref>, but were unable to differentiate whether the difference in revert rate reflected a change in the quality of work an editor performs or a change in the boldness of an editor's edits.  This potential confound was overcome through the use of a [[Research:Metrics/content persistence|content persistence]] based metric for productivity.
* Halfaker correlated the rate of reverts with the rate of survival for new editors in the English Wikipedia<ref name="halfaker12newcomers">Aaron Halfaker (2012). [http://meta.wikimedia.org/wiki/Research:Article_feedback/Stage_3/Conversion_and_newcomer_quality Conversion and newcomer quality], Wikimedia Foundation Research Document</ref>.
* Halfaker et al. built off of the above work to implicate the rate of reverts as a primary cause in decreasing retention in the English Wikipedia using a regression model<ref name="halfaker12rise">Aaron Halfaker, R. Stuart Gieger, Jonathan Morgan & John Riedl (in-press). [http://halfaker.info/summaries/The%20Rise%20and%20Decline The Rise and Decline of an Open Collaboration Community: How Wikipedia's reaction to sudden popularity is causing its decline], ''American Behavioral Scientist''</ref>.  They went on to show evidence that algorithmic tools for performing these reverts exacerbated the effects.