旅游
现存分类群
生成语法
转化式学习
目的地
营销
数据科学
人工智能
业务
计算机科学
社会学
政治学
教育学
进化生物学
生物
法学
作者
Jingjie Zhu,Lingxue Zhan,Jie Tan,Mingming Cheng
标识
DOI:10.1080/13683500.2024.2381250
摘要
Generative artificial intelligence (GenAI) has started transforming the tourism industry with wide research implications. While recognising its transformative power, tourism literature failed to identify the dark side of GenAI. Using advanced image analytics across 10 tourism destinations, this research investigates how GenAI-generated images reinforce tourism destination stereotypes. Our findings reveal that GenAI tends to generate highly homogenised images, which cannot fully capture the diversity of destinations, leading to stereotypes. This study advances extant tourism literature by providing critical insights into the complex relationships between generative artificial intelligence and tourism.
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