Communications in Humanities Research
- The Open Access Proceedings Series for Conferences
Communications in Humanities Research
Vol. 19, 07 December 2023
Open
Access | Article
Portraits of the Most Severely Affected Population in Online Violence
* Author to whom correspondence should be addressed.
Abstract
In today’s new high-tech era, the phenomenon of cyberviolence, with the proliferation of social media in most people’s lives, has attracted global attention to cyberviolence and its victims. More and more research evidence shows that victims vulnerable to cyber violence share many similar characteristics. So, this paper aims to conduct a scientific study to find out the specific portrait of the vulnerable victim group. This paper collects data from network questionnaires, frequency analysis, validity analysis, reliability analysis, and chi-square test. A total of 437 random Chinese netizens participated in this study; the results of the study show that the people who are vulnerable to network violence, basically in line with the portrait, the experimental results present: the susceptible boys are those who are Gentle and Kind, have a postgraduate education, are underage, and work in the service industry. The susceptible girls are radical, with a high school education or below, aged 10-19, primarily underage, and working as housewives. This paper can provide direction for cybersecurity practitioners to reduce the harm suffered by victims of cyberviolence.
Keywords
cyber bullying, victim portrait, social media, safeguard rights and interests, types of online violence
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Interdisciplinary Humanities and Communication Studies
- ISBN (Print)
- 978-1-83558-181-0
- ISBN (Online)
- 978-1-83558-182-7
- Published Date
- 07 December 2023
- Series
- Communications in Humanities Research
- ISSN (Print)
- 2753-7064
- ISSN (Online)
- 2753-7072
- DOI
- 10.54254/2753-7064/19/20231208
- Copyright
- 07 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited