A ContentDriven Reputation System for the Wikipedia

"Researchers at UCSC developed a tool that measures the trustworthiness 
of each Wikipedia page.[1] 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[2] (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)[3], and this paper (pdf)[4]."

[1] http://trust.cse.ucsc.edu/
[2] http://enwiki-trust.cse.ucsc.edu/index.php/Special:Random
[3] 
http://trust.cse.ucsc.edu/UCSC_Wiki_Lab?action=AttachFile&do=get&target=wikimania07.pdf
[4] http://www.soe.ucsc.edu/~luca/papers/07/wikiwww2007.pdf

 From http://it.slashdot.org/firehose.pl?id=271407&op=view
-- 
Reini Urban
http://phpwiki.org/  http://murbreak.at/
http://helsinki.at/  http://spacemovie.mur.at/

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