Understanding Trust in Social Media: Twitter

Ives-Keeler, Catherine, Buckley, Oliver and Lines, Jason (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, Cham, pp. 440-447. ISBN 978-3-030-78634-2

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Abstract

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
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 01 Sep 2021 23:40
Last Modified: 05 Sep 2021 23:38
URI: https://ueaeprints.uea.ac.uk/id/eprint/81262
DOI: 10.1007/978-3-030-78635-9_57

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