Affective Information Processing of Fake News: Evidence from NeuroIS

Bernhard Lutz (), Marc T. P. Adam (), Stefan Feuerriegel (), Nicolas Pröllochs () and Dirk Neumann ()
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Bernhard Lutz: University of Freiburg
Marc T. P. Adam: University of Newcastle
Stefan Feuerriegel: ETH Zurich
Nicolas Pröllochs: University of Oxford
Dirk Neumann: University of Freiburg

A chapter in Information Systems and Neuroscience, 2020, pp 121-128 from Springer

Abstract: Abstract False information such as “fake news” threatens the credibility of social media and is widely believed to affect public opinion. So far, IS literature lacks a theoretical foundation on what leads humans to classify a news item as fake. In order to shed light on this question, we performed an experiment that involved 42 subjects with both eye tracking and heart rate measurements. We find that a lower heart rate variability and a higher relative number of eye fixations per second are associated with a higher probability of fake classification. Our study contributes to IS theory by providing evidence that the decision, if a news item is real or fake, is not purely cognitive, but also involves affective information processing. Thereby, it points towards novel strategies for identifying and preventing the spread of fake news in social media.

Keywords: Affective information processing; Fake news; NeuroIS (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-28144-1_13

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DOI: 10.1007/978-3-030-28144-1_13

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