The Indirect Effects of Episodic-Thematic Framing on Information Sharing About the Economic Threat of Artificial Intelligence

ABSTRACT Developing artificial intelligence (AI) equitably necessitates understanding how nonexperts conceptualize and share news about technoscientific risk. We examine a model predicting AI information sharing online from an interaction of framing strategies, through psychological proximity to the impacts of AI and perceived AI risk. A panel of N = 412 participants were exposed to either a control message; or one of four manipulated messages related to AI risks. Contrary to expectations, thematically framed explicit risk news primed psychological proximity compared to both a control message and episodic frame condition. Meanwhile, episodic explicit risk frames did not prime psychological proximity over a control message. These results contest the notion that episodic frames should be associated with psychological proximity to a risk over more general framing strategies. Our results support prior research suggesting that where risk-news primes psychological proximity, the decrease in distance is in-turn associated with greater risk perception and increased likelihood of news sharing online.