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A review of truth‐default theory: Implications for information behavior research
Author(s) -
Zimmerman T.,
Njeri M.,
Khader M.,
Allen J.,
Rosellini A.,
Eaves T.
Publication year - 2020
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.312
Subject(s) - deception , key (lock) , information theory , field (mathematics) , information behavior , computer science , social media , epistemology , data science , psychology , sociology , social psychology , world wide web , philosophy , computer security , library science , mathematics , statistics , pure mathematics
Determining truth and accuracy of information is a key challenge in today's fast‐paced, global information economy dominated by social media. The field of Information Science, while publishing extensively on information seeking and use, has not done sufficient research into how individuals detect falsehood or deception in information they encounter. This paper describes Levine's Truth‐Default Theory (TDT) and links information behavior (IB) research to three vital aspects of the theory. Furthermore, this work demonstrates how TDT can be merged with T.D. Wilson's General Theory of Information Behavior, applying decades of research on deception detection to foundational IB theory. Implications of marrying these two ideas are discussed as well as suggestions for future research.