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Identifying Linguistic Cues of Fake News Associated with Cognitive and Affective Processing: Evidence from NeuroIS

In: Information Systems and Neuroscience

Author

Listed:
  • Bernhard Lutz

    (University of Freiburg)

  • Marc T. P. Adam

    (University of Newcastle)

  • Stefan Feuerriegel

    (ETH Zurich)

  • Nicolas Pröllochs

    (University of Giessen)

  • Dirk Neumann

    (University of Freiburg)

Abstract

False information such as “fake news” is widely believed to influence the opinions of individuals. So far, information systems (IS) literature is lacking a theoretical understanding of how users react and respond to fake news. In this study, we analyze drivers of cognitive and affective processing in terms of linguistic cues. For this purpose, we performed a NeuroIS experiment that involved N = 42 subjects with both eye tracking and heart rate measurements. We find that users spend more cognitive effort (more eye fixations) in assessing the veracity of fake news when it is characterized by better readability and less affective words. In addition, we find that fake news is more likely to trigger affective responses (lower heart rate variability) when it is characterized by a higher degree of analytic writing. Our findings contribute to IS theory by disentangling linguistic cues that help to explain how fake news is processed. The insights can aid researchers and practitioners in designing IS to better counter fake news.

Suggested Citation

  • Bernhard Lutz & Marc T. P. Adam & Stefan Feuerriegel & Nicolas Pröllochs & Dirk Neumann, 2020. "Identifying Linguistic Cues of Fake News Associated with Cognitive and Affective Processing: Evidence from NeuroIS," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Thomas (ed.), Information Systems and Neuroscience, pages 16-23, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-60073-0_2
    DOI: 10.1007/978-3-030-60073-0_2
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