@article{ref1,
title="Online social support for intimate partner violence victims in China: quantitative and automatic content analysis",
journal="Violence against women",
year="2020",
author="Chu, Tsz Hang and Su, Youzhen and Kong, Hanxiao and Shi, Jingyuan and Wang, Xiaohui",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="1077-8012",
doi="10.1177/1077801220911452",
url="http://dx.doi.org/10.1177/1077801220911452"
}