Algorithm Rates Trustworthiness of Wikipedia Pages 175
paleshadows writes "Researchers at UCSC developed a tool that measures the trustworthiness of each Wikipedia page. Roughly speaking, the algorithm analyzes the entire 7-year user-editing-history and utilizes the longevity of the content to learn which contributors are the most reliable: If your contribution lasts, you gain 'reputation,' whereas if it's edited out, your reputation falls. The trustworthiness of a newly inserted text is a function of the reputation of all its authors, a heuristic that turned out to be successful in identifying poor content. The interested reader can take a look at this demonstration (random page with white/orange background marking trusted/untrusted text, respectively; note "random page" link at the left for more demo pages), this
presentation (pdf), and this paper (pdf)."
