Understanding Trust in Social Media: Twitter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationHCI International 2021 - Posters - 23rd HCI International Conference, HCII 2021, Proceedings
Subtitle of host publicationCommunications in Computer and Information Science
EditorsConstantine Stephanidis, Margherita Antona, Stavroula Ntoa
Number of pages8
ISBN (Electronic)978-3-030-78635-9
ISBN (Print)978-3-030-78634-2
Publication statusPublished - 3 Jul 2021

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


  • Misinformation
  • Trust
  • Twitter

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