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International Conference on Human-Computer Interaction

HCII 2021: HCI International 2021 - Posters pp 440–447Cite as

Understanding Trust in Social Media: Twitter

Part of the Communications in Computer and Information Science book series (CCIS,volume 1419)

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.

Keywords

  • Trust
  • Misinformation
  • Twitter

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Notes

  1. 1.

    https://www.tweetgen.com/create/tweet.html.

References

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Author information

Authors and Affiliations

  1. School of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ, UK

    Catherine Ives-Keeler, Oliver Buckley & Jason Lines

Authors
  1. Catherine Ives-Keeler
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  2. Oliver Buckley
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  3. Jason Lines
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Corresponding author

Correspondence to Catherine Ives-Keeler .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Prof. Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Dr. Margherita Antona

  3. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Dr. Stavroula Ntoa

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Ives-Keeler, C., Buckley, O., Lines, J. (2021). Understanding Trust in Social Media: Twitter. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Posters. HCII 2021. Communications in Computer and Information Science, vol 1419. Springer, Cham. https://doi.org/10.1007/978-3-030-78635-9_57

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  • DOI: https://doi.org/10.1007/978-3-030-78635-9_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78634-2

  • Online ISBN: 978-3-030-78635-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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