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  • Open Access

    ARTICLE

    A Conceptual Framework for Cybersecurity Awareness

    Kagiso Komane1,*, Lucas Khoza2, Fani Radebe1

    Journal of Cyber Security, Vol.7, pp. 79-108, 2025, DOI:10.32604/jcs.2025.059712 - 20 May 2025

    Abstract Financial support, government support, cyber hygiene, and ongoing education and training as well as parental guidance and supervision are all essential components of cybersecurity awareness (CSA) identified in this study among the youth. It’s critical to realize that adequate funding is needed to effectively increase CSA, particularly among South African youth. Previous studies have demonstrated several ways to address inadequate CSA by utilizing various cybersecurity frameworks, ideas, and models. To increase CSA, this literature review seeks to emphasize the significance of integrating cybersecurity education throughout the entire school curriculum. This paper identified ethical issues, protection… More >

  • Open Access

    ARTICLE

    Hidden sufferings under entertainment: Gamebullying victimization and depression among Chinese multiplayer-online-battle-arena (MOBA) gamers

    Zizhong Zhang1,2, Chen Luo3,4,*

    Journal of Psychology in Africa, Vol.35, No.1, pp. 61-67, 2025, DOI:10.32604/jpa.2025.066008 - 30 April 2025

    Abstract Online gaming has become a daily norm, leading to unique forms of game-bullying distinct from traditional cyberbullying due to its immersive nature and ranking systems. This study examined how game-bullying victimization (GBV) affects depression via self-esteem, moderated by resilience and the state of flow, among 359 Chinese MOBA (Multiplayer-online-battle-arena) gamers (30.7% female, mean age = 23.8 years, SD = 4.57 years). The analysis revealed a direct link between GBV and depression. Self-esteem mediates this relationship, with higher GBV associated with lower self-esteem and subsequently greater depression. Resilience moderates both direct and indirect effects, mitigating GBV’s More >

  • Open Access

    ARTICLE

    Influential Factors of Suicidal Ideation among University Students—The Moderating Role of Family Closeness and Peer Support

    Jun Qiu1, Jinling Wang2,*

    International Journal of Mental Health Promotion, Vol.27, No.4, pp. 485-505, 2025, DOI:10.32604/ijmhp.2025.059951 - 30 April 2025

    Abstract Objectives: Suicidal ideation (SI) among university students is a growing concern, influenced by anxiety, depression, and bullying. However, family closeness and peer support may act as protective factors, reducing the risk of SI. Therefore, this study aims to investigate the key factors influencing SI among university students, focusing on the effects of anxiety, depression, and bullying, along with the roles of family closeness and peer support. The research also explores the interactions and mechanisms between these variables. Methods: A sample of 318 university students was surveyed, evaluating six main factors: anxiety, depression, bullying, family closeness, peer… More >

  • Open Access

    ARTICLE

    A Deep Learning Framework for Arabic Cyberbullying Detection in Social Networks

    Yahya Tashtoush1,*, Areen Banysalim1, Majdi Maabreh2, Shorouq Al-Eidi3, Ola Karajeh4, Plamen Zahariev5

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3113-3134, 2025, DOI:10.32604/cmc.2025.062724 - 16 April 2025

    Abstract Social media has emerged as one of the most transformative developments on the internet, revolutionizing the way people communicate and interact. However, alongside its benefits, social media has also given rise to significant challenges, one of the most pressing being cyberbullying. This issue has become a major concern in modern society, particularly due to its profound negative impacts on the mental health and well-being of its victims. In the Arab world, where social media usage is exceptionally high, cyberbullying has become increasingly prevalent, necessitating urgent attention. Early detection of harmful online behavior is critical to… More >

  • Open Access

    ARTICLE

    Leveraging Transformers for Detection of Arabic Cyberbullying on Social Media: Hybrid Arabic Transformers

    Amjad A. Alsuwaylimi1,*, Zaid S. Alenezi2

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3165-3185, 2025, DOI:10.32604/cmc.2025.061674 - 16 April 2025

    Abstract Cyberbullying is a remarkable issue in the Arabic-speaking world, affecting children, organizations, and businesses. Various efforts have been made to combat this problem through proposed models using machine learning (ML) and deep learning (DL) approaches utilizing natural language processing (NLP) methods and by proposing relevant datasets. However, most of these endeavors focused predominantly on the English language, leaving a substantial gap in addressing Arabic cyberbullying. Given the complexities of the Arabic language, transfer learning techniques and transformers present a promising approach to enhance the detection and classification of abusive content by leveraging large and pretrained… More >

  • Open Access

    ARTICLE

    Do Victims Defend Victims? The Mediating Role of Empathy between Victimization Experience and Public-Defending Tendency in School Bullying Situations

    Han Xie1, Yizhe Jiang1, Kunjie Cui2,*

    International Journal of Mental Health Promotion, Vol.26, No.12, pp. 1033-1043, 2024, DOI:10.32604/ijmhp.2024.056533 - 31 December 2024

    Abstract Objectives: This study investigates the association between victimization experience and the tendency to defend on behalf of victims during school bullying incidents in public settings, with a focus on the mediating effect of empathy and the moderating role of school level among Chinese children and adolescents. Methods: Data were collected by a cross-sectional survey. A total of 1491 students in Grades 4–11 participated (Boys = 52.8%; Meanage = 13.00 years, Standard Deviationage = 2.31). Structural equation modeling is employed to test the hypotheses. Results: The results indicate that empathy measures partially mediate the relationship between victimization experience… More >

  • Open Access

    ARTICLE

    Enhancing Arabic Cyberbullying Detection with End-to-End Transformer Model

    Mohamed A. Mahdi1, Suliman Mohamed Fati2,*, Mohamed A.G. Hazber1, Shahanawaj Ahamad3, Sawsan A. Saad4

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1651-1671, 2024, DOI:10.32604/cmes.2024.052291 - 27 September 2024

    Abstract Cyberbullying, a critical concern for digital safety, necessitates effective linguistic analysis tools that can navigate the complexities of language use in online spaces. To tackle this challenge, our study introduces a new approach employing Bidirectional Encoder Representations from the Transformers (BERT) base model (cased), originally pretrained in English. This model is uniquely adapted to recognize the intricate nuances of Arabic online communication, a key aspect often overlooked in conventional cyberbullying detection methods. Our model is an end-to-end solution that has been fine-tuned on a diverse dataset of Arabic social media (SM) tweets showing a notable… More >

  • Open Access

    ARTICLE

    Cyberbullying Sexism Harassment Identification by Metaheurustics-Tuned eXtreme Gradient Boosting

    Milos Dobrojevic1,4, Luka Jovanovic1, Lepa Babic3, Miroslav Cajic5, Tamara Zivkovic6, Miodrag Zivkovic2, Suresh Muthusamy7, Milos Antonijevic2, Nebojsa Bacanin2,4,8,9,*

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4997-5027, 2024, DOI:10.32604/cmc.2024.054459 - 12 September 2024

    Abstract Cyberbullying is a form of harassment or bullying that takes place online or through digital devices like smartphones, computers, or tablets. It can occur through various channels, such as social media, text messages, online forums, or gaming platforms. Cyberbullying involves using technology to intentionally harm, harass, or intimidate others and may take different forms, including exclusion, doxing, impersonation, harassment, and cyberstalking. Unfortunately, due to the rapid growth of malicious internet users, this social phenomenon is becoming more frequent, and there is a huge need to address this issue. Therefore, the main goal of the research… More >

  • Open Access

    ARTICLE

    A Machine Learning Approach to Cyberbullying Detection in Arabic Tweets

    Dhiaa Musleh1, Atta Rahman1,*, Mohammed Abbas Alkherallah1, Menhal Kamel Al-Bohassan1, Mustafa Mohammed Alawami1, Hayder Ali Alsebaa1, Jawad Ali Alnemer1, Ghazi Fayez Al-Mutairi1, May Issa Aldossary2, Dalal A. Aldowaihi1, Fahd Alhaidari3

    CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 1033-1054, 2024, DOI:10.32604/cmc.2024.048003 - 18 July 2024

    Abstract With the rapid growth of internet usage, a new situation has been created that enables practicing bullying. Cyberbullying has increased over the past decade, and it has the same adverse effects as face-to-face bullying, like anger, sadness, anxiety, and fear. With the anonymity people get on the internet, they tend to be more aggressive and express their emotions freely without considering the effects, which can be a reason for the increase in cyberbullying and it is the main motive behind the current study. This study presents a thorough background of cyberbullying and the techniques used… More >

  • Open Access

    ARTICLE

    The Relationship between Internet Addiction and Cyberbullying Perpetration: A Moderated Mediation Model of Moral Disengagement and Internet Literacy

    Wan Xiao1,*, Miaoting Cheng2,*

    International Journal of Mental Health Promotion, Vol.25, No.12, pp. 1303-1311, 2023, DOI:10.32604/ijmhp.2023.042976 - 29 December 2023

    Abstract Internet addiction and cyberbullying have emerged as significant global mental health concerns in recent years. Although previous studies have shown a close association between Internet addiction and cyberbullying, the underlying mechanisms connecting these two phenomena remain unclear. Therefore, this study aimed to reveal the mechanisms involved between Internet addiction and cyberbullying perpetration from the perspective of cognition function. This study recruited 976 Chinese youth through online survey, using the short version of Internet Addiction Test (s-IAT), Chinese Cyberbullying Intervention Project Questionnaire (C-CIPQ), Cyberbullying Moral Disengagement Scale (CMDS), and Internet Literacy Questionnaire (ILQ) to investigate the More >

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