“A Nightclub Dancer Also Has a Master’s Degree?”: Features and Causes of GBV on Chinese Social Media Platforms
摘要
With the popularity of the social media, gender-based violence (GBV) exhibits new features when violence is inflicted upon victims through language online. This study, based on posts and comments from six sensational cyberbullying incidents on the Chinese social media platforms, Weibo in particular, aims to analyze features of GVB in online discourse and explore its underlying causes. Through high frequency word co-occurrence graphs, this study analyzes features of GBV by taking social factors like social status, education background and occupation into consideration. Data analysis shows that accompanied by social factors, seemingly similar GBV exhibits stark differences in terms of vocabulary usage, points of attack and polarity of comments in those incidents. It’s found that humiliation, threats and victim blaming are major means to inflict online GBV. Symbolic violence, personal motivation, hierarchical gender order and insufficient network inspection are the main underlying causes that give rise to GBV.