Algorithmic Inoculation Against Misinformation: How to Build Cognitive Immunity Against Misinformation
Document Type
Article
Source of Publication
Journal of Broadcasting and Electronic Media
Publication Date
1-1-2024
Abstract
The benefits of generative AI tools come with the risk of misleading users and radicalizing existing societal biases. This study examined the effects of inoculation treatment on users’ attitudes and behaviors by testing a misinformation inoculation model. Based on inoculation theory, it discusses the cognitive mechanisms underpinning the effects of inoculation messages presented by AI chatbots by addressing how users construe inoculation messages and how they influence users’ resistance against misinformation. This study renders theoretical rationales and empirical evidence for cognitive immunity by clarifying how the theory can be extended to misinformation and how the framework can be practically implemented.
DOI Link
ISSN
Publisher
Informa UK Limited
Disciplines
Communication
Keywords
Inoculation treatment, Misinformation, Cognitive immunity, Inoculation theory, AI chatbots
Scopus ID
Recommended Citation
Shin, Donghee and Akhtar, Fokiya, "Algorithmic Inoculation Against Misinformation: How to Build Cognitive Immunity Against Misinformation" (2024). All Works. 6494.
https://zuscholars.zu.ac.ae/works/6494
Indexed in Scopus
yes
Open Access
no