TY - JOUR
T1 - Impact of misinformation from generative AI on user information processing
T2 - How people understand misinformation from generative AI
AU - Shin, Donghee
AU - Koerber, Amy
AU - Lim, Joon Soo
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024
Y1 - 2024
N2 - This study examines the impact of artificial intelligence (AI) on the ways in which users process and respond to misinformation in generative artificial intelligence (GenAI) contexts. Drawing on the heuristic–systematic model and the concept of diagnosticity, our approach examines a cognitive model for processing misinformation in GenAI. The study’s findings revealed that users with a high-heuristic processing mechanism, which affects positive diagnostic perception, were more likely to proactively discern misinformation than users with low-heuristic processing and low-perceived diagnosticity. When exposed to misinformation from GenAI, users’ perceived diagnosticity of misinformation can be accurately predicted by the ways in which they perform heuristic systematic evaluations. With this focus on misinformation processing, this study provides theoretical insights and relevant recommendations for firms to be more resilient in protecting users from the detrimental impacts of misinformation.
AB - This study examines the impact of artificial intelligence (AI) on the ways in which users process and respond to misinformation in generative artificial intelligence (GenAI) contexts. Drawing on the heuristic–systematic model and the concept of diagnosticity, our approach examines a cognitive model for processing misinformation in GenAI. The study’s findings revealed that users with a high-heuristic processing mechanism, which affects positive diagnostic perception, were more likely to proactively discern misinformation than users with low-heuristic processing and low-perceived diagnosticity. When exposed to misinformation from GenAI, users’ perceived diagnosticity of misinformation can be accurately predicted by the ways in which they perform heuristic systematic evaluations. With this focus on misinformation processing, this study provides theoretical insights and relevant recommendations for firms to be more resilient in protecting users from the detrimental impacts of misinformation.
KW - Algorithmic effects on misinformation
KW - algorithmic misinformation
KW - ChatGPT
KW - generative AI
KW - heuristic–systematic process
KW - misinformation-processing model
UR - http://www.scopus.com/inward/record.url?scp=85188292571&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85188292571&partnerID=8YFLogxK
U2 - 10.1177/14614448241234040
DO - 10.1177/14614448241234040
M3 - Article
AN - SCOPUS:85188292571
SN - 1461-4448
JO - New Media and Society
JF - New Media and Society
ER -