Trust in Online Collaborative IS - Community-Built Databases: Research and Development - page 367

last two revisions of articles is 29 days. However, our study of Wikipedia-featured
articles shows that the update rate for an article increases significantly as it gains
more visibility [ 36 ]. According to this observation, our conjecture is that mashups
like CalSWIM can help these articles gain more visibility and thereby enjoy more
frequent updates.
To overcome the limitations caused by inaccurate user reputation, in future work
we aim to process the changes made to newly submitted revisions of an article to
ascertain whether or not it is vandalistic. Inspired by [ 59 ], we categorize Wikipedia
vandalism types and build a statistical language models, constructing distributions
of words from the revision history of Wikipedia articles. As vandalism often
involves the use of unexpected words to draw attention, the fitness (or lack thereof)
of a new edit, when compared with language models built from previous revisions,
may well indicate that an edit is the product of vandalism. One of the main
advantages of this technique is that it is extendable, even to other Web 2.0 domains
such as blogs.
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