Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/12690
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dc.contributor.authorShafiza Mohd Shariff-
dc.contributor.authorMark Sanderson-
dc.contributor.authorXiuzhen Zhang-
dc.contributor.author(UniKL MIIT)-
dc.date.accessioned2016-04-18T02:23:42Z-
dc.date.available2016-04-18T02:23:42Z-
dc.date.issued2016-03-
dc.identifier.issn978-3-319-30671-1-
dc.identifier.urihttp://marksanderson.org/publications/my_papers/ECIR2016.pdf-
dc.identifier.urihttp://ir.unikl.edu.my/jspui/handle/123456789/12690-
dc.description.abstractWhen searching on Twitter, readers have to determine the credibility level of tweets on their own. Previous work has mostly studied how the text content of tweets influences credibility perception. In this paper, we study reader demographics and information credibility perception on Twitter. We find reader’s educational background and geo-location have significant correlation with credibility perception. Further investigation reveals that combinations of demographic attributes correlating with credibility perception are insignificant. Despite differences in demographics, readers find features regarding topic keyword and the writing style of a tweet to be independently helpful in perceiving tweets’ credibility. While previous studies reported the use of features independently, our result shows that readers use combination of features to help in making credibility perception of tweetsen_US
dc.publisherSpringeren_US
dc.titleCorrelation Analysis of Reader’s Demographics and Tweet Credibility Perceptionen_US
dc.typeArticleen_US
dc.conference.name38th European Conference on Information Retrievalen_US
Appears in Collections:Conference Paper

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