DSpace Repository

Correlation Analysis of Reader’s Demographics and Tweet Credibility Perception

Show simple item record

dc.contributor.author Shafiza Mohd Shariff
dc.contributor.author Mark Sanderson
dc.contributor.author Xiuzhen Zhang
dc.contributor.author (UniKL MIIT)
dc.date.accessioned 2016-04-18T02:23:42Z
dc.date.available 2016-04-18T02:23:42Z
dc.date.issued 2016-03
dc.identifier.issn 978-3-319-30671-1
dc.identifier.uri http://marksanderson.org/publications/my_papers/ECIR2016.pdf
dc.identifier.uri http://ir.unikl.edu.my/jspui/handle/123456789/12690
dc.description.abstract When 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 tweets en_US
dc.publisher Springer en_US
dc.title Correlation Analysis of Reader’s Demographics and Tweet Credibility Perception en_US
dc.type Article en_US
dc.conference.name 38th European Conference on Information Retrieval en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account