Relying on System 1 Thinking Leaves You Susceptible to the Peril of Misinformation
Spencer Early (),
Seyedmohammadmahdi Mirhoseini,
Nour Shamy and
Khaled Hassanein
Additional contact information
Spencer Early: McMaster University
Seyedmohammadmahdi Mirhoseini: McMaster University
Nour Shamy: McMaster University
Khaled Hassanein: McMaster University
A chapter in Information Systems and Neuroscience, 2020, pp 42-48 from Springer
Abstract:
Abstract In the current era of unprecedented cultural and political tension, the growing problem of misinformation has exacerbated social unrest within the online space. Rectifying this issue requires a robust understanding of the underlying factors that lead social media users to believe and spread misinformation. We investigate a set of neurophysiological measures as they relate to users interacting with misinformation, delivered via social media. A rating task, requiring participants to assess the validity of news headlines, reveals a stark contrast between their performance when engaging analytical thinking processes versus automatic thinking processes. We utilize this observation to theorize intervention methods that encourage more analytical thinking processes.
Keywords: Misinformation; Neurophysiological measurement; EEG; Eye tracking (search for similar items in EconPapers)
Date: 2020
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:978-3-030-60073-0_5
Ordering information: This item can be ordered from
http://www.springer.com/9783030600730
DOI: 10.1007/978-3-030-60073-0_5
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 ().