人工智能广告的阴暗面:认知评价理论与信息质量理论的融合

Luan-Thanh Nguyen, Tri-Quan Dang, Dang Thi Viet Duc
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摘要

人工智能(AI)是一系列快速发展的颠覆性技术,从根本上改变了人、商业、社会和环境的各个方面。人工智能越来越多地为社会和商业组织提供重要的广告机会。然而,如果人工智能被刻意编程以制作误导性的广告内容,它也可能被用来传播虚假信息。本研究利用认知评估理论和信息质量理论来研究消费者如何从人工智能产生的信息中评估威胁并制定人工智能营销应对策略,从而探讨人工智能广告阴暗面的结果。我们收集了越南 451 名人工智能广告用户的数据。基于 PLS-SEM 的结果显示了有趣而新颖的结果。统计分析显示,情境评价、代表性评价、可及性评价和威胁评价之间存在负相关。在统计意义上,情境评价、代表性评价、可及性评价和应对评价之间也存在显著的正相关。威胁评价与愤怒和焦虑呈正相关,但与孤独感无关。应对评估与焦虑呈显著负相关,但与愤怒和孤独无关。这项研究推动了理论和管理的发展。
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The Dark Sides of AI Advertising: The Integration of Cognitive Appraisal Theory and Information Quality Theory
Artificial intelligence (AI) is a collection of rapidly evolving disruptive technologies that radically alter various aspects of people, business, society, and the environment. AI increasingly provides significant advertising opportunities for society and business organizations. However, AI could be used to spread disinformation if it were deliberately programmed to produce misleading advertising content. Using cognitive appraisal theory and information quality theory to study how consumers assess threats and develop AI marketing coping strategies from the information generated by AI, this study examines the outcome of the dark side of AI advertising. We collected data from 451 AI-advertising users in Vietnam. The results based on PLS-SEM showed interesting and novelty results. The statistical analysis showed a negative correlation between contextual, representational, accessibility, and threat appraisals. There was also a statistically significant positive correlation between contextual, representational, accessibility, and coping appraisals. Threat appraisals were positively correlated with anger and anxiety but not loneliness. Coping appraisal was significant and negatively correlated with anxiety but not anger or loneliness. This study advances theory and management.
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