Deep Fakes and Political Attitudes: An Analysis of Confirmation Bias and Cognitive Dissonance Using Neurophysiological Measurements
Jörg Ebner (),
Bernhard Lutz () and
Dirk Neumann ()
Additional contact information
Jörg Ebner: University of Freiburg
Bernhard Lutz: University of Freiburg
Dirk Neumann: University of Freiburg
A chapter in Information Systems and Neuroscience, 2025, pp 299-311 from Springer
Abstract:
Abstract Deep fake technology poses a significant threat to the political discourse. Within the realm of information systems (IS) research, the study of fake news on social media has primarily focused on written text, with comparatively little emphasis on deep fake videos. However, the effectiveness of visual content in persuading users of the authenticity of the events presented surpasses that of textual content, a phenomenon underscored by IS research. In this study, we analyze whether the theories of confirmation bias and cognitive dissonance are also applicable to deep fake videos. To this end, we propose a between-subject experiment with measurements of brain activity and heart rate to shed light on the underlying cognitive and affective processes that guide users’ behavior and beliefs. Accordingly, we contribute to the IS literature by employing neurophysiological measurements to analyze human processing of deep fakes, which assists social media platforms in developing effective mitigation strategies.
Keywords: Deep fake videos; Fake news; Cognitive dissonance; Electroencephalogram (EEG); Electrocardiogram (ECG) (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-71385-9_26
Ordering information: This item can be ordered from
http://www.springer.com/9783031713859
DOI: 10.1007/978-3-031-71385-9_26
Access Statistics for this chapter
More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().