Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/12690
Title: Correlation Analysis of Reader’s Demographics and Tweet Credibility Perception
Authors: Shafiza Mohd Shariff
Mark Sanderson
Xiuzhen Zhang
(UniKL MIIT)
Issue Date: Mar-2016
Publisher: Springer
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
URI: http://marksanderson.org/publications/my_papers/ECIR2016.pdf
http://ir.unikl.edu.my/jspui/handle/123456789/12690
ISSN: 978-3-319-30671-1
Appears in Collections:Conference Paper

Files in This Item:
File Description SizeFormat 
absctact_Correlation Analysis of.pdf32.62 kBAdobe PDFView/Open    Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.