Understanding Trust in Social Media: Twitter

Ives-Keeler, Catherine, Buckley, Oliver ORCID: https://orcid.org/0000-0003-1502-5721 and Lines, Jason ORCID: https://orcid.org/0000-0002-1496-5941 (2021) Understanding Trust in Social Media: Twitter. In: HCI International 2021 - Posters - 23rd HCI International Conference, HCII 2021, Proceedings. Communications in Computer and Information Science . Springer, pp. 440-447. ISBN 978-3-030-78634-2

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In this paper we investigate how users can be perceived on Twitter by looking at a selection of tweets, and how the type of personality traits and language can effect trust. We present participants with a selection of tweets and gather their initial opinions of the Twitter users presented by using a Likert scale (https://www.simplypsychology.org/likert-scale.html) and free text box for participants to share their opinions, hosted on Microsoft forms. This paper presents preliminary results based on the data gathered from a questionnaire created by the researcher, highlighting factors that impact how participants perceived the Twitter users. It was found that participants valued content, profile pictures and the display name more than likes and retweets. They did not like the more aggressive or opinionated users and had more of a neutral or positive reaction to the more light-hearted users.

Item Type: Book Section
Uncontrolled Keywords: misinformation,trust,twitter,computer science(all),mathematics(all) ,/dk/atira/pure/subjectarea/asjc/1700
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Smart Emerging Technologies
Faculty of Science > Research Groups > Data Science and Statistics
Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
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Depositing User: LivePure Connector
Date Deposited: 01 Sep 2021 23:40
Last Modified: 01 Jun 2024 02:26
URI: https://ueaeprints.uea.ac.uk/id/eprint/81262
DOI: 10.1007/978-3-030-78635-9_57


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