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Bullying-Related Tweets: a Qualitative Examination of Perpetrators, Targets, and Helpers
Bullying literature notes that aside from the dyadic relationship of target and perpetrator, there are other participant roles in the bullying process including those that reinforce the perpetrator and those that stand up for the target. Most examinations of bullying roles have relied on self-report...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180542/ https://www.ncbi.nlm.nih.gov/pubmed/34124584 http://dx.doi.org/10.1007/s42380-021-00098-3 |
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author | Sainju, Karla Dhungana Kuffour, Akosua Young, Lisa Mishra, Niti |
author_facet | Sainju, Karla Dhungana Kuffour, Akosua Young, Lisa Mishra, Niti |
author_sort | Sainju, Karla Dhungana |
collection | PubMed |
description | Bullying literature notes that aside from the dyadic relationship of target and perpetrator, there are other participant roles in the bullying process including those that reinforce the perpetrator and those that stand up for the target. Most examinations of bullying roles have relied on self-reported data, which suffer from key limitations such as response and recall bias. Twitter data provides a way to overcome these limitations and extend our current understanding of bullying roles. The current study provides one of the first qualitative examinations of tweets to analyze the disclosure and sharing of bullying-related online and offline episodes. Through a qualitative content analysis, the study examines 780 tweets to analyze the descriptions and characteristics of three participant roles: the perpetrator, target, and helper. The results provide multidimensional insights into the context and relationships between bullying roles. The results reveal that each of the bullying role players tweet to share varying perspectives and the discussions transcend beyond just online exchanges. The results also confirm that Twitter is used not only as a channel for bullying but also as a tool for connection between the different role players. Implications of how Twitter can be leveraged to promote anti-bullying initiatives to educate and inform users about bullying, while also helping build resilience and emotional regulation, are discussed. Additionally, the study also has implications for artificial intelligence and can help to build improved classifiers to detect bullying-related discourse and content online. |
format | Online Article Text |
id | pubmed-8180542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-81805422021-06-07 Bullying-Related Tweets: a Qualitative Examination of Perpetrators, Targets, and Helpers Sainju, Karla Dhungana Kuffour, Akosua Young, Lisa Mishra, Niti Int J Bullying Prev Original Article Bullying literature notes that aside from the dyadic relationship of target and perpetrator, there are other participant roles in the bullying process including those that reinforce the perpetrator and those that stand up for the target. Most examinations of bullying roles have relied on self-reported data, which suffer from key limitations such as response and recall bias. Twitter data provides a way to overcome these limitations and extend our current understanding of bullying roles. The current study provides one of the first qualitative examinations of tweets to analyze the disclosure and sharing of bullying-related online and offline episodes. Through a qualitative content analysis, the study examines 780 tweets to analyze the descriptions and characteristics of three participant roles: the perpetrator, target, and helper. The results provide multidimensional insights into the context and relationships between bullying roles. The results reveal that each of the bullying role players tweet to share varying perspectives and the discussions transcend beyond just online exchanges. The results also confirm that Twitter is used not only as a channel for bullying but also as a tool for connection between the different role players. Implications of how Twitter can be leveraged to promote anti-bullying initiatives to educate and inform users about bullying, while also helping build resilience and emotional regulation, are discussed. Additionally, the study also has implications for artificial intelligence and can help to build improved classifiers to detect bullying-related discourse and content online. Springer International Publishing 2021-06-07 2022 /pmc/articles/PMC8180542/ /pubmed/34124584 http://dx.doi.org/10.1007/s42380-021-00098-3 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Sainju, Karla Dhungana Kuffour, Akosua Young, Lisa Mishra, Niti Bullying-Related Tweets: a Qualitative Examination of Perpetrators, Targets, and Helpers |
title | Bullying-Related Tweets: a Qualitative Examination of Perpetrators, Targets, and Helpers |
title_full | Bullying-Related Tweets: a Qualitative Examination of Perpetrators, Targets, and Helpers |
title_fullStr | Bullying-Related Tweets: a Qualitative Examination of Perpetrators, Targets, and Helpers |
title_full_unstemmed | Bullying-Related Tweets: a Qualitative Examination of Perpetrators, Targets, and Helpers |
title_short | Bullying-Related Tweets: a Qualitative Examination of Perpetrators, Targets, and Helpers |
title_sort | bullying-related tweets: a qualitative examination of perpetrators, targets, and helpers |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180542/ https://www.ncbi.nlm.nih.gov/pubmed/34124584 http://dx.doi.org/10.1007/s42380-021-00098-3 |
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