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SoRTESum: A Social Context Framework for Single-Document Summarization Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Correlation Analysis of Reader’s Demographics and Tweet Credibility Perception

Authors : Shafiza Mohd Shariff, Mark Sanderson, Xiuzhen Zhang

Published in: Advances in Information Retrieval

Publisher: Springer International Publishing

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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.

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previous chapter On the Reproducibility of the TAGME Entity Linking System
next chapter Topic-Specific Stylistic Variations for Opinion Retrieval on Twitter
Footnotes
2
http://​whatthetrend.​com/​ a HootSuite Media company that lists Twitter’s trending topic and explain why it is trending.
 
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Metadata
Title
Correlation Analysis of Reader’s Demographics and Tweet Credibility Perception
Authors
Shafiza Mohd Shariff
Mark Sanderson
Xiuzhen Zhang
Copyright Year
2016
Publisher
Springer International Publishing
Book
Advances in Information Retrieval

Print ISBN: 978-3-319-30670-4

Electronic ISBN: 978-3-319-30671-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-30671-1_33