Hi Everyone,

The next Research Showcase will be live-streamed this Wednesday, November
18, 2015 at 11:30 (PST).

YouTube stream: http://www.youtube.com/watch?v=kXCI6whgdUA

As usual, you can join the conversation on IRC at #wikimedia-research. And,
you can watch our past research showcases here
<https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase#Archive>.

We look forward to seeing you!

Kind regards,

Sarah R. Rodlund
Project Coordinator-Engineering, Wikimedia Foundation
[email protected]

This month:

*Impact, Characteristics, and Detection of Wikipedia Hoaxes*

By Srijan Kumar

False information on Wikipedia raises concerns about its credibility. One
way in which false information may be presented on Wikipedia is in the form
of hoax articles, i.e. articles containing fabricated facts about
nonexistent entities or events. In this talk, we study false information on
Wikipedia by focusing on the hoax articles that have been created
throughout its history. First, we assess the real-world impact of hoax
articles by measuring how long they survive before being debunked, how many
pageviews they receive, and how heavily they are referred to by documents
on the Web. We find that, while most hoaxes are detected quickly and have
little impact on Wikipedia, a small number of hoaxes survive long and are
well cited across the Web. Second, we characterize the nature of successful
hoaxes by comparing them to legitimate articles and to failed hoaxes that
were discovered shortly after being created. We find characteristic
differences in terms of article structure and content, embeddedness into
the rest of Wikipedia, and features of the editor who created the hoax.
Third, we successfully apply our findings to address a series of
classification tasks, most notably to determine whether a given article is
a hoax. And finally, we describe and evaluate a task involving humans
distinguishing hoaxes from non-hoaxes. We find that humans are not
particularly good at the task and that our automated classifier outperforms
them by a big margin.
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