Examining the information adoption of AIGC platform users: A dual perspective of enablers and inhibitors

The problems of AIGC platforms such as misinformation and algorithm bias may lower user intention of information adoption and lead to user defection. Based on the stimulus-organism-response (S-O-R) model, this research examined the impact of enablers and inhibitors on the information adoption of AIGC platform users. The results indicated that enablers, which include content quality, transparency, and perceived anthropomorphism, significantly affect user trust in AIGC, while inhibitors, which include information overload, misinformation, and algorithm bias, lead to user cognitive dissonance. Both trust in AIGC and cognitive dissonance affect information adoption. The results imply that AIGC platforms need to build user trust and lower user cognitive dissonance in order to facilitate user information adoption.