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College Students’ Credibility Judgments on Healthy Diet Information on Social Media

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Information Literacy in a Post-Truth Era (ECIL 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1533))

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Abstract

The main objective of this study was to investigate how college students judge the credibility of healthy diet information on social media. This mixed-method two-phase sequential study used a survey and individual interview methods to explore how college students judge the credibility of the acquired information, and how their healthy diet behaviour and nutrition literacy are related to the credibility judgment criteria they use. Results show that students value expertise of authors on social media higher than friendliness, but the importance of motivating and friendly interaction is more indicative of students’ information use behaviour. Students who exhibit healthy diet behaviour give more value to authors’ expertise. Students who have problems in understanding nutrition information rely more on the friendliness and popularity of authors on social media as credibility indicators.

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Authors and Affiliations

  1. University of Zadar, Zadar, Croatia

    Alica Kolarić, Mate Juric & Nikolina Peša Pavlović

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  1. Alica Kolarić
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  2. Mate Juric
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  3. Nikolina Peša Pavlović
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Correspondence to Alica Kolarić .

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Editors and Affiliations

  1. Hacettepe University, Ankara, Turkey

    Serap Kurbanoğlu

  2. University of Zagreb, Zagreb, Croatia

    Sonja Špiranec

  3. Hacettepe University, Ankara, Turkey

    Yurdagül Ünal

  4. Université Gustave Eiffel, Champs-sur-Marne, France

    Joumana Boustany

  5. University of Zagreb, Zagreb, Croatia

    Denis Kos

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Kolarić, A., Juric, M., Peša Pavlović, N. (2022). College Students’ Credibility Judgments on Healthy Diet Information on Social Media. In: Kurbanoğlu, S., Špiranec, S., Ünal, Y., Boustany, J., Kos, D. (eds) Information Literacy in a Post-Truth Era. ECIL 2021. Communications in Computer and Information Science, vol 1533. Springer, Cham. https://doi.org/10.1007/978-3-030-99885-1_6

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  • DOI: https://doi.org/10.1007/978-3-030-99885-1_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99884-4

  • Online ISBN: 978-3-030-99885-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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