The AI-Authorship Effect: Understanding Authenticity, Moral Disgust, and Consumer Responses to AI-Generated Marketing Communications
Colleen P. Kirk, Julian Givi
West Virginia University New York Institute of Technology
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摘要与影响
Seven preregistered experiments demonstrate that when consumers believe emotional marketing communications are written by an AI (vs. a human), positive word of mouth and customer loyalty are reduced. Drawing from authenticity theory, we show that this “AI-authorship effect” is attenuated for factual (vs. emotional) messages (Study 2); when an AI only edits the communication (Study 3); when a communication is signed directly by an AI (Study 4); and when consumers believe that most marketing communications are written by AI (Study WA1). Importantly, when consumers believe a communication is reused (i.e., not originally written by the sender), the effect is reversed (Study 6). This “AI-authorship effect” is serially mediated by perceived authenticity (Studies 5 and 6) and moral disgust (Studies 1-6 and WA1). These findings are evidenced using both personalized and mass communications, different emotions, businesses and organizational employees, and both hypothetical and behavioral measures.
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生物医学Psychology of Moral and Emotional Judgment
Ethics and Social Impacts of AI
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