This project aims to provide editors with an easy mechanism to find and review inaccurate content in Wikipedia articles. The aim is to achieve this with the help of algorithms that are specifically designed to flag suspected content, which the editors can then review by a three-way mechanism. The reviewer bot finds articles in given categories, category trees, and lists. For each such article, the bot aims to accomplish the following tasks: (1) Flag passages with facts and statistics which are likely to have become out of date and have not been updated in a given number of years (2) Flag phrases which are likely unclear (3) Flag bad student edits

Flagged instances are then stored in a database and open to the reviewers for reviewing and closing the flags. A reviewer can decide to either 'Accept' or 'Dismiss' a review item as valid/invalid. Two reviewers decide the fate of each review item, and in the case of a conflict, it is sent to a third reviewer. Reviewer reputation scores are computed based on a mechanism of acceptability of reviews by other peer reviewers. Reviews which lowered the scores can be optionally displayed to the reviewers.

Organization

Student

prnk28

Mentors

  • FaFlo
  • Jim Salsman
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2016