内容(测量理论)
社会化媒体
广告
媒体内容
生成语法
生成模型
心理学
业务
计算机科学
多媒体
人工智能
万维网
数学
数学分析
作者
Jasper David Brüns,Martin Meißner
标识
DOI:10.1016/j.jretconser.2024.103790
摘要
Recent studies have demonstrated the potential of generative artificial intelligence (GenAI) in enhancing marketing content. However, its impact on consumer behavior has remained empirically untested. In response to social media platforms mandating the disclosure of GenAI content, we investigate how followers perceive brands that use GenAI for content creation. Drawing from literature on algorithm aversion and brand authenticity, the results of three experimental studies indicate that brands' GenAI adoption induces negative attitudinal and behavioral follower reactions. These effects are mediated by followers' perceptions of brand authenticity and can be triggered by GenAI disclosure. Negative reactions are attenuated if GenAI is used to assist humans in content creation rather than to replace them through automation. Our findings underscore the need for nuance in brands' GenAI adoption to unlock economic benefits without compromising on relationships with consumers.
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