User perception of information credibility of news on Twitter

Mohd Shariff, S, Zhang, X and Sanderson, M 2014, 'User perception of information credibility of news on Twitter', in de Rijke, M., Kenter, T., de Vries, A.P., Zhai, C., de Jong, F., Radinsky, K., Hofmann, K (ed.) Proceedings of the 36th European Conference on IR Research, ECIR 2014: Advances in Information Retrieval, Amsterdam, The Netherlands, 13 - 16 April 2014, pp. 513-518.


Document type: Conference Paper
Collection: Conference Papers

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Title User perception of information credibility of news on Twitter
Author(s) Mohd Shariff, S
Zhang, X
Sanderson, M
Year 2014
Conference name 36th European Conference on IR Research, ECIR 2014: Advances in Information Retrieval
Conference location Amsterdam, The Netherlands
Conference dates 13 - 16 April 2014
Proceedings title Proceedings of the 36th European Conference on IR Research, ECIR 2014: Advances in Information Retrieval
Editor(s) de Rijke, M., Kenter, T., de Vries, A.P., Zhai, C., de Jong, F., Radinsky, K., Hofmann, K
Publisher Springer
Place of publication Cham, Germany
Start page 513
End page 518
Total pages 6
Abstract In this paper, we examine user perception of credibility for news-related tweets. We conduct a user study on a crowd-sourcing platform to judge the credibility of such tweets. By analysing user judgments and comments, we find that eight features, including some that can not be automatically identified from tweets, are perceived by users as important for judging information credibility. Moreover, distinct features like link in tweet, display name and user belief consistently lead users to judge tweets as credible. We also find that users can not consistently judge or even misjudge the credibility for some tweets on politics news.
Subjects Information Systems not elsewhere classified
Information Retrieval and Web Search
Keyword(s) Artificial intelligence
Computer science
Computers Information credibilities
Lead users
User perceptions
User study
DOI - identifier 10.1007/978-3-319-06028-6_50
Copyright notice © Springer International Publishing Switzerland 2014
ISBN 9783319060279
Additional Notes The final authenticated version is available online at https://doi.org/10.1007/978-3-319-06028-6_50. The DOI (Digital Object Identifier) can be found at the bottom of the first page of the published paper.
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