Abstract: 【Purpose/significance】This paper analyzes and collects international literature related to social network opinion bias to un⁃ derstand its research progress and trends.【Method/process】The origin and development, hotspots, and future trends of social network opinion bias research are visualized and analyzed in combination with knowledge mapping.【Result/conclusion】From the perspective of origin and development, the number of related research results has been increasing year by year, which can be categorized into 3 stages: germination, development and surge. In terms of hotspots, it mainly centers on social network opinion bias influencing factors, evolution, quantification and intervention. In terms of trends, future research will mainly focus on the definition and transformation of the degree of opinion bias, opinion bias of multi-type user groups, the impact of artificial intelligence on opinion bias, and the dynamic cross-platform evolution of opinion bias.【Innovation/limitation】This paper focuses on analyzing the hot topics and trends of opinion deviation research in social networks from an international perspective, providing theoretical references for the localization of opinion deviation research. However, this paper has some limitations in sample selection and analysis methods.