Based on Weibo big data to explore the original data of women's perception of inter -sex social threats on the avoidance of heterosexual social avoidance

1. The study used Weibo as the data source and collected various related Weibo texts from January 1, 2017 to December 31, 2022, using keywords such as "fear of men" and "dislike of men" to capture Weibo data. Using Python to preliminarily capture relevant Weibo posts containing 146754, and using LIWC dictionary to calculate word frequency. 2. A single factor (real threat/symbolic threat/control group) inter subject experiment was conducted to examine the main effect of perceived threat types and the mediating effect of negative emotions in women at the individual level. The study mainly recruited participants through the internet for data collection, screened out those with short answer times, and encoded and entered invalid data. A total of 303 samples were collected, including 288 valid data, with an effective rate of 95.04%. 3. Using a 2 (female perceived threat type: real threat/symbolic threat) × 2 (interaction mode: quasi social interaction with opposite sex characters/interaction with AI agents) inter subject design, this study examines at the individual level whether quasi social interaction with the opposite sex moderates the relationship between perceived threat type and opposite sex social avoidance. Social anxiety and types of feminist tendencies were measured as independent variables. The experiment mainly recruited female participants who had not been exposed to the game of Yi Nv offline and collected data. After excluding invalid samples (due to the short experimental time), a total of 113 samples were collected.