Exploring public attitudes of child abuse in mainland China: A sentiment analysis of China's social media Weibo

被引:24
|
作者
Lyu, YuWen [1 ,2 ,3 ]
Chow, Julian Chun-Chung [4 ]
Hwang, Ji-Jen [5 ,6 ]
机构
[1] Guangzhou Univ, Sch Econ & Stat, Guangzhou, Peoples R China
[2] Univ Calif Berkeley, Ctr Informat Technol Res Interest Soc, Berkeley, CA 94720 USA
[3] Univ Calif Berkeley, Banatao Inst, Berkeley, CA 94720 USA
[4] Univ Calif Berkeley, Sch Social Welf, Berkeley, CA 94720 USA
[5] Chung Yuan Christian Univ, Ctr Gen Educ, Taoyuan, Taiwan
[6] George Mason Univ, Sch Policy & Govt, Arlington, VA USA
关键词
Weibo; Public attitudes; Child abuse; Sentiment analysis; Child protection policy; China; PROTECTION SYSTEM; MISSING ELEMENTS; SEXUAL-ABUSE; CONSEQUENCES; MALTREATMENT; PREVENTION; OPINION;
D O I
10.1016/j.childyouth.2020.105250
中图分类号
D669 [社会生活与社会问题]; C913 [社会生活与社会问题];
学科分类号
1204 ;
摘要
Background:: Influenced by traditional Confucian culture, the Chinese people believe that parents or nurturers have the right to educate their children, including physical punishment. Nowadays, child abuse has increasingly become a vital issue in China. Despite this, China still lacks a complete child protection system to protect children who are being abused. Objective:: The purpose of this study was to apply sentiment analysis in text-mining technology to analyze the textual data of social media Weibo, explore people's attitudes toward child abuse incidents and the reasons behind them, and discuss how their emotions will become the potential driving force for improving China's child protection policies. Furthermore, the research creates a paradigm for further studies of child abuse and neglect in the big data era. Participants and setting:: Using Barbalet's macrostructural emotion theory, this study conducted sentiment analysis of social media Weibo comments on several highly publicized child abuse cases, including the incidents of Shanxi stepmother, RYB (Red, Yellow and Blue) kindergarten, Shenzhen child abuse, and Changsha nanny child abuse. Methods:: Sentiment analysis was used to extract and analyze 51,068 comments on Chinese social media Weibo. Results:: Findings revealed that the critical sentiments of Chinese people regarding child abuse in China are resentment and vengefulness. In addition, 36.9% of the emotional vocabulary was resentment, 29.1% was vengefulness, 19.5% was confidence, 11.9% was fear, and 2.6% was shame. The keywords of resentment are damage, disappointed, distressed, sad, and punish. The keywords of vengefulness are obscenity, rape, demon, devil, and dark. Conclusions:: Incidents of child abuse caused by the inadequate child protection system in China may continue to negatively influence public opinions through social media. The main emotional response to child abuse was one of resentment and vengefulness. Through the keywords of these two emotions, this study found that resentment originates from the psychological harm caused by child abuse to children, and vengefulness originates from the insufficient enforcement by government departments in child abuse cases. This analysis may serve as a potential impetus for the government to develop child protection policies and build a robust child welfare system.
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页数:10
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