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Qualitative analyses on the classification model of bystander behavior in cyberbullying
INTRODUCTION: Bystanders account for the largest proportion of those involve in cyberbullying and play an important role in the development of cyberbullying incidents. Regarding the classification of bystander behavior in cyberbullying, there exist some limitations in the previous research, such as...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367091/ https://www.ncbi.nlm.nih.gov/pubmed/37496794 http://dx.doi.org/10.3389/fpsyg.2023.1152331 |
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author | Rong, Kexin Chu, Xiaowei Zhao, Yujing |
author_facet | Rong, Kexin Chu, Xiaowei Zhao, Yujing |
author_sort | Rong, Kexin |
collection | PubMed |
description | INTRODUCTION: Bystanders account for the largest proportion of those involve in cyberbullying and play an important role in the development of cyberbullying incidents. Regarding the classification of bystander behavior in cyberbullying, there exist some limitations in the previous research, such as not considering the complexity of the online environment. Therefore, this study constructed a new classification model of bystander behavior in cyberbullying. METHODS: By separately utilizing questionnaires and experimental methods, the study collected participants’ behavioral intentions and actual behavioral responses to deal with cyberbullying incidents. RESULTS: Based on two qualitative studies, this study summarized a new classification model, which included three first-level factors and six second-level factors. Specifically, the classification model included positive bystander behavior (i.e., pointing at the victim, bully, and others), neutral bystander behavior (i.e., inaction), and negative bystander behavior (i.e., supporting and excessively confronting the bully). DISCUSSION: The classification model has important contributions to the research on bystander behavior in cyberbullying. This model helps researchers to develop more effective intervention approaches on cyberbullying from the perspective of each category of bystander behavior. |
format | Online Article Text |
id | pubmed-10367091 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103670912023-07-26 Qualitative analyses on the classification model of bystander behavior in cyberbullying Rong, Kexin Chu, Xiaowei Zhao, Yujing Front Psychol Psychology INTRODUCTION: Bystanders account for the largest proportion of those involve in cyberbullying and play an important role in the development of cyberbullying incidents. Regarding the classification of bystander behavior in cyberbullying, there exist some limitations in the previous research, such as not considering the complexity of the online environment. Therefore, this study constructed a new classification model of bystander behavior in cyberbullying. METHODS: By separately utilizing questionnaires and experimental methods, the study collected participants’ behavioral intentions and actual behavioral responses to deal with cyberbullying incidents. RESULTS: Based on two qualitative studies, this study summarized a new classification model, which included three first-level factors and six second-level factors. Specifically, the classification model included positive bystander behavior (i.e., pointing at the victim, bully, and others), neutral bystander behavior (i.e., inaction), and negative bystander behavior (i.e., supporting and excessively confronting the bully). DISCUSSION: The classification model has important contributions to the research on bystander behavior in cyberbullying. This model helps researchers to develop more effective intervention approaches on cyberbullying from the perspective of each category of bystander behavior. Frontiers Media S.A. 2023-07-11 /pmc/articles/PMC10367091/ /pubmed/37496794 http://dx.doi.org/10.3389/fpsyg.2023.1152331 Text en Copyright © 2023 Rong, Chu and Zhao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Rong, Kexin Chu, Xiaowei Zhao, Yujing Qualitative analyses on the classification model of bystander behavior in cyberbullying |
title | Qualitative analyses on the classification model of bystander behavior in cyberbullying |
title_full | Qualitative analyses on the classification model of bystander behavior in cyberbullying |
title_fullStr | Qualitative analyses on the classification model of bystander behavior in cyberbullying |
title_full_unstemmed | Qualitative analyses on the classification model of bystander behavior in cyberbullying |
title_short | Qualitative analyses on the classification model of bystander behavior in cyberbullying |
title_sort | qualitative analyses on the classification model of bystander behavior in cyberbullying |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367091/ https://www.ncbi.nlm.nih.gov/pubmed/37496794 http://dx.doi.org/10.3389/fpsyg.2023.1152331 |
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