Paper Number
1494
Paper Type
Short
Description
Gullibility is a behavior set that includes insensitivity to cues signaling untrustworthiness, the propensity to accept false information, reject true information, or taking costly risks. It is a useful lens from which to view real-world adverse outcomes driven by the online behaviors of seemingly well-intentioned, or non-malicious, individuals. Though well established in pre-internet literature, gullibility has been largely sidestepped as a driver of adverse events in the digital era despite ample evidence for its existence. To better understand the drivers and contextual factors behind digital gullibility, we propose a comprehensive research agenda which aligns open research gaps with a set of research driven propositions. The agenda builds on existing models and discussions in related domains, structures open questions and provides guidance for IS researchers and practitioners in the face of ongoing digital gullibility.
Recommended Citation
Hall, Margeret and Haas, Christian, "A Research Agenda to Understand Drivers of Digital Gullibility" (2022). ICIS 2022 Proceedings. 4.
https://aisel.aisnet.org/icis2022/user_behaivor/user_behaivor/4
A Research Agenda to Understand Drivers of Digital Gullibility
Gullibility is a behavior set that includes insensitivity to cues signaling untrustworthiness, the propensity to accept false information, reject true information, or taking costly risks. It is a useful lens from which to view real-world adverse outcomes driven by the online behaviors of seemingly well-intentioned, or non-malicious, individuals. Though well established in pre-internet literature, gullibility has been largely sidestepped as a driver of adverse events in the digital era despite ample evidence for its existence. To better understand the drivers and contextual factors behind digital gullibility, we propose a comprehensive research agenda which aligns open research gaps with a set of research driven propositions. The agenda builds on existing models and discussions in related domains, structures open questions and provides guidance for IS researchers and practitioners in the face of ongoing digital gullibility.
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