This study examines how content originality and authorship (AI vs. human) influence consumers’ cognitive, emotional, and behavioral responses within the context of emotion-based marketing communication. As generative AI becomes widely adopted in pro...
This study examines how content originality and authorship (AI vs. human) influence consumers’ cognitive, emotional, and behavioral responses within the context of emotion-based marketing communication. As generative AI becomes widely adopted in producing emotional messages and brand storytelling, understanding how consumers interpret the source and authenticity of such content has become increasingly important. Reflecting this shift, the present research investigates how content type (original vs. replicated) affects perceived authenticity and moral disgust, and how these psychological variables mediate the formation of positive word-of-mouth and customer loyalty.
Using the experimental data from Kirk and Givi, 2025 Study 6 of the original research, this study employs PROCESS Macro Models 6 and 83. Content type serves as the independent variable; perceived authenticity and moral disgust function as mediators; positive word-of-mouth and loyalty are treated as dependent variables; and authorship (AI vs. human) is incorporated as a moderator to test moderated mediation effects.
The results indicate, first, that replicated content consistently and significantly undermines perceived authenticity, with the consequent reduction in authenticity serving as a significant determinant of increased moral disgust. Second, both authenticity and disgust significantly invoke positive word-of-mouth and loyalty, with two mediators acting in sequence within a stable "psychological chain mechanism." It is of particular importance that the type of content has no direct effect, which means that consumers do not react based on the information that content is replicated but rather on their judgments regarding the authenticity and ethical meaning of the content before forming behavioral intentions.
Third, authorship moderation was one of the leading moderating factors at each significant stage of the chain mechanism. Under human authorship, replicated content significantly decreased perceived authenticity, which raised moral disgust and culminated in adverse behavioral outcomes. For example, consumers react with less severity to replicated content with AI authorship, and the degree of adverse psychological impact is significantly reduced. This indicates that consumers have much higher expectations of "emotional authenticity" and "creative responsibility" from human creators while applying those expectations much less rigorously to AI, which leads to a more negligible psychological gap when encountering replicated content made by AI.
Overall, the findings demonstrate that in the era of artificial intelligence, content originality, authenticity, ethical perception, and authorship cues collectively shape consumer judgment. These factors do not operate in isolation but interact closely to influence consumer evaluation processes. Particularly in emotional marketing contexts, human-authored content is subject to stricter scrutiny regarding sincerity and ethicality, implying that brands must carefully consider how authorship decisions shape consumer interpretation. Practically, when content relies heavily on emotional expression, uniqueness, and sincerity, human authorship may be more persuasive—but only if originality is ensured. Conversely, for standardized or repetitive messages, AI authorship may help reduce expectation gaps and lower the risk of negative evaluation. As AI-generated content becomes more prevalent, brands must develop strategies that integrate human creativity with AI-generated materials to maintain consistency between content form and authorship, thereby better managing consumer psychological expectations.