Dr. CHU Tsz Hang, KenKenDr. CHU Tsz HangSu, YouzhenYouzhenSuKong, HanxiaoHanxiaoKongShi, JingyuanJingyuanShiWang, XiaohuiXiaohuiWang2023-10-112023-10-112020Violence Against Women, 2020, Vol.27(3-4), pp. 339-358.1077-80121552-8448http://hdl.handle.net/20.500.11861/8189To examine the nature and content of messages presented in a popular Chinese online community about intimate partner violence (IPV), this study utilized a two-step analytic approach that combined quantitative content analysis and automatic content analysis. We collected 90,040 messages from the online community’s IPV group. Study 1 analyzed 8,343 randomly selected messages. The findings suggest that social support is commonly presented, while only a few messages expressed blame toward the victims. Study 2 analyzed the whole sample via machine learning technique and further showed that this online community was a space for the victims to obtain informational resources and emotional encouragement.enOnline Social support for intimate partner violence victims in China: Quantitative and automatic content analysisPeer Reviewed Journal Article10.1177/1077801220911452