Consumer Responses to AI-Generated Charitable Giving Ads
Luis Arango, Stephen Singaraju, Outi Niininen
The University of Queensland Universiti Teknologi Brunei University of Jyväskylä
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Content created by employing artificial intelligence (AI) algorithms, also known as synthetic content, promises to radically change the advertising and marketing landscape in the coming decades, presumably for the better. It is fundamental for advertising and marketing scholars and practitioners to have solid knowledge of how synthetic content is perceived by consumers before widespread adoption is promoted. Across three experimental studies we tested how consumers in charitable giving contexts reacted to advertising messages featuring content generated by an AI neural network. We show that potential donors responded differently to children's faces when they knew they had been generated by AI. Study 1 established that awareness of the falsity of a face or its status as an AI-generated image has a negative impact on donation intentions. This negative impact is serially mediated by empathy and anticipatory guilt and empathy and emotion perception. Study 2 investigated several motives for employing AI-generated images and indicated that charities employing those images can benefit by making their ethical motives salient. Finally, Study 3 revealed that under extraordinary circumstances the use of AI images by charities is considered acceptable by consumers and is likely to lead to similar outcomes as the use of real images. Therefore, we recommend a cautious approach to the adoption of synthetic content. The full paper is available at https://doi.org/10.1080/00913367.2023.2183285
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
经济 / 管理AI in Service Interactions
Digital Marketing and Social Media · Consumer Behavior in Brand Consumption and Identification
参考文献 93
此处列出前 3 条
引用本文 260
按被引量排序,此处列出前 3 条