Malaysian Youth Perception on Cyberbullying: The Qualitative Perspective

Ghazali, Abdul Halim; Abdullah, Haslinda; Omar, Siti Zobidah; Ahmad, Aminah; Samah, Asnarulkhadi Abu; Ramli, Siti Aisyah; Shaffril, Hayrol Azril Mohamed

doi:10.6007/ijarbss/v7-i4/2782

Cited by 5 publications

(3 citation statements)

References 11 publications

(30 reference statements)

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“…Qualitative research in this domain would allow for a more holistic understanding of the experience and perception of key stakeholders involved in the cyberbullying world ( Tracy, 2013 ). While purely qualitative methods in cyberbullying research are increasing, many studies focus on the youth perspective of perceptions and the experiences of cyberbullying itself (e.g., Vandebosch and Van Cleemput, 2008 ; Evans et al, 2016 ; Ghazali et al, 2017 ; Chia-Wen et al, 2019 ). Critical key informants and stakeholders who have experience managing cyberbullying issues on a regular basis may be the key to adequately addressing, designing, and implementing prevention strategies to reduce cyberbullying.…”

Section: Introductionmentioning

confidence: 99%

Recommendations for cyberbullying prevention and intervention: A Western Canadian perspective from key stakeholders

Hendry

Hellsten²,

McIntyre³

et al. 2023

Front. Psychol.

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IntroductionCyberbullying, or repeatedly communicating antagonistic messages using digital or electronic media meant to deal out harm or discomfort to others, has been considered more pervasive and impactful than traditional bullying since perpetrators can remain anonymous online, are not bound by time or place. In addition, cyberbullied youth are reluctant to involve others such as an adult or confront the perpetrator adults. Therefore, the primary purpose of this study was to capture a holistic understanding of potential youth cyberbullying prevention and intervention strategies (i.e., inhibiting forces that may reduce cyberbullying) from key stakeholders with professional knowledge about cyberbullying (i.e., educational administration, psychological counseling, technology and bullying education consultation, policing, research, and social support services).MethodsTwenty (n = 20) participants were recruited using purposive and snowball sampling techniques from both urban and rural school districts in one Western Canadian province to participate in either in a semi-structured individual interview (n = 16) or a scheduled focus group (n = 4) to achieve depth and understanding of cyberbullying issues. The I3 Model, a process-oriented metatheory of aggression with the potential to explain how cyberbullying behaviors continue to occur, was used as a frame to analyze the qualitatively gathered data using six phases of reflexive thematic analysis.ResultsParticipants identified educational efforts related to awareness of cyberbullying and consequences of perpetration, digital citizenship programming for students and social skills training, providing remediation to youth who are in online conflict with one another, and parental engagement with the technology used by their youth as key factors in mitigating instances of cyberbullying.DiscussionThis study furthers research on cyberbullying prevention and intervention in schools by illuminating experiences from under researched and unique stakeholders in the field. These key findings and suggestions for future research are further discussed.

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Section: Introductionmentioning

confidence: 99%

Recommendations for cyberbullying prevention and intervention: A Western Canadian perspective from key stakeholders

Hendry

Hellsten²,

McIntyre³

et al. 2023

Front. Psychol.

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“…Online violence and cyberbullying in OSN keep growing each day. According to Ghazali et al, 2017, Malaysia have recorded an increment from 2013 (55.6%) to 2015 (62.3%) for cyber-bullying cases among the Malaysian youth [1]. Mohammad (2021) reported that three out of every ten Malaysian adolescents have been bullied, as stated by United Nations Children's Fund (UNICEF) [2].…”

Section: Introductionmentioning

confidence: 99%

Towards Curbing Cyber-Bullying in Malaysia by Author Identification of Iban and Kadazandusun Osn Text Using Deep Learning

Tarmizi

Saee

Ibrahim

2023

AEJ

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Online Social Network (OSN) is frequently used to carry out cyber-criminal actions such as cyberbullying. As a developing country in Asia that keeps abreast of ICT advancement, Malaysia is no exception when it comes to cyberbullying. Author Identification (AI) task plays a vital role in social media forensic investigation (SMF) to unveil the genuine identity of the offender by analysing the text written in OSN by the candidate culprits. Several challenges in AI dealing with OSN text, including limited text length and informal language full of internet jargon and grammatical errors that further impact AI's performance in SMF. The traditional AI system that analyses long text documents seems inadequate to analyse short OSN text's writing style. N-gram features are proven to efficiently represent the authors' writing style for shot text. However, representing N-grams in traditional representation like Tf-IDF resulted in sparse and difficult in grasping the semantic information from text. Besides, most AI works have been done in English but receive less attention in indigenous languages. In West Malaysia, the supreme languages that transcend ethnic boundaries are Iban of Sarawak and KadazanDusun of Sabah, which both are inherently under-resourced. This paper presented a proposed workflow of AI for short OSN text using two Under-Resourced Language (U-RL), Iban and KadazanDusun tweets, to curb the cyberbullying issue in Malaysia. This paper compares Tf-Idf (sparse) and SoA embedding-based (dense) feature representations to observe which representations best represent the stylistic features of the authors’ writing. N-grams of word, character, and POS were extracted as the features. The representation models were learned by different classifiers using machine learning (Naïve Bayes, Random Forest, and SVM). The convolutional neural network (CNN), a SoA deep learning model in sentence classification, was tested against the traditional classifiers. The result was observed by combining different representation models and classifiers on three datasets (English, Iban, and KadazanDusun). The best result was achieved when CNN learned embedding-based models with a combination of all features. KadazanDusun achieved the highest accuracy with 95.76%, English with 95.02%, and Iban with 94%..

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“…Research on cyber aggression-victimization have been reported in Europe, the United States of America and Asian countries. However, research in Malaysia has focused mainly on cyberbullying (Abu Bakar, 2013;Balakrishnan, 2015;Faryadi, 2011;Ghazali et al, 2017;Teimouri et al, 2014;Yusuf et al, 2018). As far as the researchers are concerned, there is limited, or no study conducted on cyber aggression or cyber victimization in Malaysia.…”

Section: Introductionmentioning

confidence: 99%

Cyber Aggression-Victimization Among Malaysians Youth

Yusuf

Al-Majdhoub

Mubin

et al. 2021

AJUE

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The usage of the Internet and other related technologies has never been without any consequences. One such consequence is what commonly referred to as cyber aggression, a new form of abusing someone online, which has become a new growing problem in today's society. Cyber aggression offers convenient opportunities to humiliate, bully, or harass another person online. Global studies on cyber aggression found that youths who were aggressed online are reported feeling depressed, anxious, afraid, showing poor academic performance, experiencing eating disorders, and substance abuse usages such as drugs and alcohol. On that account, the study aims to investigate the interrelationships between predictive factors namely peer attachment, parental attachment, exposure to the Internet and cyber aggression-victimization among youths. The renowned general aggression model (GAM) is applied to understand the phenomenon. A sample of 430 urban youths aged between 13 and 18 years living within Klang Valley area were randomly selected to participate in the study. Data were gathered through a self-report questionnaire and later analyzed using SPSS and AMOS. The results revealed several noteworthy findings; the majority of respondents made use of the Internet approximately 7 to 21 hours per day especially during weekends with surfing social media being the major purpose, followed by entertainment and playing online games. A relatively significant number of youths are engaged with cyber victimization through written-verbal and online exclusion. Finally, the structural path analysis indicates that the Internet exposure is the strongest predictor associated with cyber aggression-victimization. Based on these findings, the implications and recommendations for future investigations with reference to the current theoretical framework and empirical findings on cyber aggression-victimization are thoroughly discussed. Keywords: Cyber aggression, Cyberbullying, Internet exposure, Klang Valley, Parental and peer attachment, Victimization, Youth.

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Malaysian Youth Perception on Cyberbullying: The Qualitative Perspective

Cited by 5 publications

References 11 publications

Recommendations for cyberbullying prevention and intervention: A Western Canadian perspective from key stakeholders

Recommendations for cyberbullying prevention and intervention: A Western Canadian perspective from key stakeholders

Towards Curbing Cyber-Bullying in Malaysia by Author Identification of Iban and Kadazandusun Osn Text Using Deep Learning

Cyber Aggression-Victimization Among Malaysians Youth

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