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Paper Type
ERF
Abstract
The widespread discourse around the impact of Generative AI (GenAI) on the job market has induced divergent opinions and emotions. Building on the theory of Emotions as Social Information (EASI), we seek to explore innovation-induced emotions (fear and curiosity) and examine observers' differential behavioral responses to such emotions embedded in social media discourse. We also investigate the adaptive dynamics of these emotions’ influence on observers’ information-sharing behaviors. This study intends to illustrate how individuals react to social media information characterized by fear and curiosity within the rapidly evolving landscape of GenAI technology.
Paper Number
1451
Recommended Citation
Wang, Qian; Wu, Bingyi; Valecha, Rohit; and Rao, H. Raghav, "Exploring Discourses on Generative AI’s Impacts on Job Market: Innovation-Induced Emotions and Information Sharing" (2024). AMCIS 2024 Proceedings. 12.
https://aisel.aisnet.org/amcis2024/ai_aa/ai_aa/12
Exploring Discourses on Generative AI’s Impacts on Job Market: Innovation-Induced Emotions and Information Sharing
The widespread discourse around the impact of Generative AI (GenAI) on the job market has induced divergent opinions and emotions. Building on the theory of Emotions as Social Information (EASI), we seek to explore innovation-induced emotions (fear and curiosity) and examine observers' differential behavioral responses to such emotions embedded in social media discourse. We also investigate the adaptive dynamics of these emotions’ influence on observers’ information-sharing behaviors. This study intends to illustrate how individuals react to social media information characterized by fear and curiosity within the rapidly evolving landscape of GenAI technology.
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