Konferenzpaper

Erschienen in: Information Systems and Neuroscience

Herausgeberliste: Davis, Fred D.; Riedl, René; Brocke, Jan vom

Jahr der Veröffentlichung: 2019

Seiten: 121-128

ISBN: 978-3-030-28143-4

eISBN: 978-3-030-28144-1

DOI Link: https://doi.org/10.1007/978-3-030-28144-1_13

Konferenz: NeuroIS Retreat 2019

Serientitel: Lecture Notes in Information Systems and Organisation

Serienzählung: 32

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.

Harvard-Zitierstil: Lutz, B., Adam, M., Feuerriegel, S., Pröllochs, N. and Neumann, D. (2019) Affective Information Processing of Fake News: Evidence from NeuroIS, in Davis, F., Riedl, R. and Brocke, J. (eds.) Information Systems and Neuroscience. Cham: Springer. pp. 121-128. https://doi.org/10.1007/978-3-030-28144-1_13

APA-Zitierstil: Lutz, B., Adam, M., Feuerriegel, S., Pröllochs, N., & Neumann, D. (2019). Affective Information Processing of Fake News: Evidence from NeuroIS. In Davis, F., Riedl, R., & Brocke, J. (Eds.), Information Systems and Neuroscience. (pp. 121-128). Springer. https://doi.org/10.1007/978-3-030-28144-1_13