Abstract: The research on the detection of fake review information at home and abroad is summarized to find research hotspots and problems, clarify the future development direction, and provide guidance for internet governance. Firstly, using the method of literature analysis, we comb the main findings and research status of the detection of fake review information in detail from review content, review behavior and review relation. Then, it perfects the governance system of fake review information from the perspective of internet governance. The paper shows that the research on the detection of fake review information needs to expand the research field, mine accurate and reliable review data sets, explore the optimal feature combination, and finally implement the research of governance strategy. In addition, combined with the idea of internet governance, this paper constructs a governance system of fake review information with multiple parties participating in coordination and co-governance.

Key words: Fake review information, Online review, Internet governance, Detection of fake review information, Governance of fake review information, Sentiment analysis, Natural language processing