心理学
社会化媒体
情感(语言学)
用户参与度
内容(测量理论)
顺从(心理学)
内容分析
用户生成的内容
公制(单位)
自我表露
消费(社会学)
媒体内容
消费者行为
互联网隐私
社会心理学
媒体消费
钥匙(锁)
广告
感情用事
公共关系
公众参与
影响力营销
生成语法
健康饮食
作者
Stephan Carney,Ignacio Riveros,Stephanie Tully
摘要
Abstract Social media shapes how people connect, communicate and consume information. As generative artificial intelligence (AI) becomes an increasingly common tool for content creation, many platforms have introduced disclosure requirements to inform consumers when content has been created or significantly edited by AI. Yet, little is known about how such AI-generated content (AIGC) disclosures influence consumer engagement, a key metric for creators, platforms, and brands. This research examines whether and why AIGC disclosures affect engagement on social media. Analysis of engagement behavior on TikTok following the introduction of their AIGC disclosure policy and eight preregistered experiments (including two in the Web Appendix) find that disclosures reduce consumer engagement. This reduction does not stem from concerns about content quality, wariness of artificial content, or general AI aversion. Instead, we identify a novel process: AIGC disclosures reduce parasocial connection—one-sided emotional bonds between consumers and creators. Reduced parasocial connection is driven in part by the perceived effort of the content creator. As such, disclosures that signal greater effort can mitigate reductions in engagement. We discuss the implications of these findings for platform policy, content creator strategy, and the future design of AI disclosure practices.
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