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Online Social Support for Intimate Partner Violence Victims in China

Quantitative and Automatic Content Analysis

Bibliographic Data

ID12435600
AuthorsTsz Hang Chu (0000-0003-0034-6362, City University of Hong Kong, Kowloon, Hong Kong, corresponding author), Youzhen Su (0000-0002-5299-9712, Hong Kong Baptist University, Kowloon, Hong Kong), Hanxiao Kong (0000-0002-1082-6899, Hong Kong Baptist University, Kowloon, Hong Kong), Jingyuan Shi (0000-0001-5675-4512, Hong Kong Baptist University, Kowloon, Hong Kong), Xiaohui Wang (0000-0003-2126-1712, Hong Kong Baptist University, Kowloon, Hong Kong)
Year2020
Volume27
Issue3-4
Pages339-358
Publication date2020-04-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueViolence Against Women (JOURNAL)
Journal identifiersISSN: 1077-8012 • E-ISSN: 1552-8448
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/1077801220911452
PMID32339059
OpenAlexW3017530169
LanguageEN
Citations received16
References cited40

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

Blame · Content (measure theory · Content analysis · Domestic violence · Medical emergency · Online community · Poison control · Sample (material · Sociology · World Wide Web · Adolescent Sexual and Reproductive Health · Applied Psychology · Computer Science · Crime Patterns and Interventions · Human Factors and Ergonomics · Intimate Partner and Family Violence · Mathematics · Medicine · Psychology · Social Psychology

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Unique citing works16
Citations per year3,2
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 16

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