Beyond source: The effects of AI's multiple roles in persuasion
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1Faculty of Business and Economics, University of Melbourne, Australia.
Abstract:
AI is becoming embedded across all aspects of persuasion in business, from segmentation and message creation to conversational exchange. This review and synthesis of the relevant literature argues that the understanding of the psychological effects of AI persuasion should not be reduced to source inferences about machine credibility. It shows that AI can influence persuasion by taking on several roles other than being a perceived source. It can directly influence persuasion by message crafting, recipient tuning and being a contextual influence. Critically, these non-source effects may occur even when AI involvement is undisclosed or undetected. Looking forward, future research should go beyond attitude change as a dependent variable, and also consider attitude strength, metacognitive confidence and resistance to counterpersuasion.
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