Chua, Alton Y.K. and Banerjee, Snehasish orcid.org/0000-0001-6355-0470 (2018) Rumors and Rumor Corrections on Twitter:Studying Message Characteristics and Opinion Leadership. In: 2018 4th International Conference on Information Management (ICIM). International Conference on Information Management, 25-27 May 2018 IEEE , GBR , pp. 210-214.
Abstract
As rumors often ripple across the cyberspace, posting rumor corrections on social media can bring about social good by spreading the truth. However, rumors and rumor corrections are not easily distinguishable from one another. Therefore, this paper investigates how three message characteristics, namely, the use of emotions, clarity and credible source attribution, can predict message veracity on social media. Message veracity denotes whether a message is a rumor or a rumor correction. In addition, the paper further examines the extent to which opinion leadership moderates the relation between message characteristics and message veracity. Set against the context of the death hoax of Singapore’s first Prime Minister Lee Kuan Yew in March 2015, data for this paper came from Twitter. Analysis involved binary logistic regression. All the three message characteristics predicted veracity. Rumor corrections were characterized by lower use of emotions, higher clarity, and higher credible source attribution compared with rumors. Furthermore, opinion leadership moderated the relation between the use of emotions and message veracity as well as that between credible source attribution and message veracity.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © IEEE, 2018. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details |
Keywords: | opinion leader,rumor,rumor correction,source credibility,Twitter |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > The York Management School |
Depositing User: | Pure (York) |
Date Deposited: | 01 Aug 2018 10:30 |
Last Modified: | 26 Jan 2025 00:04 |
Published Version: | https://doi.org/10.1109/INFOMAN.2018.8392837 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/INFOMAN.2018.8392837 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134040 |