article

Analysis of Tweets Related to Cyberbullying: Exploring Information Diffusion and Advice Available for Cyberbullying Victims

Author:

Sophia AlimAuthors Info & Claims

International Journal of Cyber Behavior, Psychology and Learning, Volume 5, Issue 4

Pages 31 - 52

https://doi.org/10.4018/IJCBPL.2015100103

Published: 01 October 2015 Publication History

Abstract

The use of Twitter, especially by teenagers and young people, has raised the issue of cyberbullying. There is a lack of research into what types of advice and support are available in tweets for cyberbullying victims, and into the features influencing the spread of tweets related to cyberbullying. In this study, 7,315 tweets associated with cyberbullying were extracted and analysed. The results highlighted that tweets containing features such as a higher number of URLs, hashtags, or followers did not necessarily lead to a higher number of retweets. Sentiment analysis of the tweets presented both positive and negative sentiments from users towards cyberbullying. This study manually sampled 400 tweets for content analysis. Tweets covered a variety of areas associated with cyberbullying ranging from user opinions to news events. Results showed that 33% of tweets contained advice and support for cyberbullying victims. These tweets produced the highest number of retweets in comparison with tweets covering other areas associated with cyberbullying.

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Cited By

Elmezain MMalki AGad IAtlam E(2022)Hybrid Deep Learning Model–Based Prediction of Images Related to CyberbullyingInternational Journal of Applied Mathematics and Computer Science10.34768/amcs-2022-002432:2(323-334)Online publication date: 4-Jul-2022
https://dl.acm.org/doi/10.34768/amcs-2022-0024
Karmakar SDas S(2020)Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend AnalysisProceedings of the 2020 European Interdisciplinary Cybersecurity Conference10.1145/3424954.3424960(1-6)Online publication date: 18-Nov-2020
https://dl.acm.org/doi/10.1145/3424954.3424960

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cover image International Journal of Cyber Behavior, Psychology and Learning

International Journal of Cyber Behavior, Psychology and Learning Volume 5, Issue 4

October 2015

82 pages

ISSN:2155-7136

EISSN:2155-7144

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IGI Global

United States

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Published: 01 October 2015

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Cited By

Elmezain MMalki AGad IAtlam E(2022)Hybrid Deep Learning Model–Based Prediction of Images Related to CyberbullyingInternational Journal of Applied Mathematics and Computer Science10.34768/amcs-2022-002432:2(323-334)Online publication date: 4-Jul-2022
https://dl.acm.org/doi/10.34768/amcs-2022-0024
Karmakar SDas S(2020)Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend AnalysisProceedings of the 2020 European Interdisciplinary Cybersecurity Conference10.1145/3424954.3424960(1-6)Online publication date: 18-Nov-2020
https://dl.acm.org/doi/10.1145/3424954.3424960

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