Visual content has become an integral component of consumers' experience sharing. People increasingly search for visual content posted by others prior to making purchase decisions. This work adopts a systematic review methodology to examine user-generated photo–related tourism and hospitality research published in academic journals between 2006 and 2021 by topics, methods, and theoretical underpinnings. The 106 articles analyzed fall under four themes: 1) motivation for photo sharing; 2) tourists' destination image perception; 3) tourists’ spatiotemporal behavior; and 4) impact of user-generated photos. Analytical methods have progressed in their abilities to collect, process, and analyze large volumes of imagery data. Techniques range from traditional manual qualitative content–semiotic analysis to advanced spatial analysis and artificial intelligence–based quantitative approaches. Theoretical development has varied topically given the descriptive nature of research questions in some domains. A multi-dimensional framework is developed to offer a holistic view of the progress, limitation, and future directions for user-generated photo research.

视觉内容已经成为消费者体验分享不可或缺的组成部分。人们越来越多地在做出购买决定之前搜索其他人发布的视觉内容。这项工作采用系统的审查方法，按主题、方法和理论基础检查 2006 年至 2021 年间发表在学术期刊上的用户生成的照片相关旅游和酒店研究。分析的 106 篇文章分为四个主题：1）照片分享的动机；2）旅游者的目的地形象认知；3）游客的时空行为；4) 用户生成照片的影响。分析方法在收集、处理和分析大量图像数据的能力方面取得了进步。技术范围从传统的手动定性内容符号分析到高级空间分析和基于人工智能的定量方法。鉴于某些领域研究问题的描述性，理论发展因主题而异。开发了一个多维框架，以提供用户生成照片研究的进展、局限性和未来方向的整体视图。