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.