Previous studies have reported that artificial intelligence (AI)-generated book endorsements may be more effective than human-generated endorsements in enhancing consumer purchase intentions. However, the factors underlying these effects have not been sufficiently clarified. Focusing on stylistic characteristics that differ across generations is a promising approach to investigate these factors. First, this study performed a comparative analysis of AI- and human-generated book endorsements, examining lexical, syntactic, and emotional features. The results indicate that AI-generated endorsements tend to employ more formulaic expressions, more concise sentence structures, and a higher frequency of emotional words, whereas human-created endorsements exhibit more diverse lexical choices, longer sentence structures, and a more restrained use of emotional words.
MARU et al. (Thu,) studied this question.
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