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  1. Proceedings of the 4th workshop on Information credibility (WICOW '10)
  2. What is disputed on the web?
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Understanding credibility across disciplinary boundaries
Detecting Wikipedia vandalism with active learning and statistical language models
Smart marketing or bait & switch: competitors' brands as keywords in online advertising
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On measuring the quality of Wikipedia articles
The credibility of digital identity information on the social web: a user study
SpotRank: a robust voting system for social news websites
Trust in wikipedia: how users trust information from an unknown source
Time: a method of detecting the dynamic variances of trust
What is disputed on the web?
Modulating video credibility via visualization of quality evaluations

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What is disputed on the web?

Content Provider ACM Digital Library
Author Byler, Dan Rosario, Barbara Agosta, John Mark Ennals, Rob
Abstract We present a method for automatically acquiring of a corpus of disputed claims from the web. We consider a factual claim to be disputed if a page on the web suggests both that the claim is false and also that other people say it is true. Our tool extracts disputed claims by searching the web for patterns such as "falsely claimed that X" and then using a statistical classifier to select text that appears to be making a disputed claim. We argue that such a corpus of disputed claims is useful for a wide range of applications related to information credibility on the web, and we report what our current corpus reveals about what is being disputed on the web.
Starting Page 67
Ending Page 74
Page Count 8
File Format PDF
ISBN 9781605589404
DOI 10.1145/1772938.1772952
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-04-27
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Web Dispute Credibility
Content Type Text
Resource Type Article
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