A friendly reminder that this is happening in 5 min. :-) On Mon, Nov 16, 2015 at 3:37 PM, Sarah Rodlund <[email protected]> wrote:
> 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. > > > _______________________________________________ > Wiki-research-l mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l > >
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