 The AI-authorship effect: Understanding authenticity, moral disgust, and consumer responses to AI-generated marketing communicationsColleen P. Kirk and Julian Givi Journal of Business Research, 2025, vol. 186, issue C Abstract: 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. Keywords: Artificial intelligence; Generative AI; Moral disgust; Authenticity; ChatGPT; Large language models (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:186:y:2025:i:c:s0148296324004880 DOI: 10.1016/j.jbusres.2024.114984 Access Statistics for this article Journal of Business Research is currently edited by A. G. Woodside More articles in Journal of Business Research from Elsevier |
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