City University of Hong Kong, Kowloon, Hong Kong.
Hong Kong Baptist University, Kowloon, Hong Kong.
Violence Against Women. 2021 Mar;27(3-4):339-358. doi: 10.1177/1077801220911452. Epub 2020 Apr 27.
To 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.
为了研究一个中国流行的在线社区中关于亲密伴侣暴力(IPV)的信息的性质和内容,本研究采用了一种两步分析方法,将定量内容分析和自动内容分析结合起来。我们从该在线社区的 IPV 小组中收集了 90040 条信息。研究 1 分析了 8343 条随机选择的信息。研究结果表明,社会支持是常见的,而只有少数信息表达了对受害者的指责。研究 2 通过机器学习技术对整个样本进行了分析,进一步表明这个在线社区是受害者获取信息资源和情感鼓励的空间。