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Full text release has been delayed at the author's request until August 03, 2025

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Cyberbullying on Social Networking Site (SNS) : Examining Ghanaian Cultural Perspective, Psychological Impact and Detection Technologies

Azumah, Sylvia
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1721399674828143

Abstract Details

2024, PhD, University of Cincinnati, Education, Criminal Justice, and Human Services: Information Technology.
Over the past ten years, cyberbullying has become a prevalent issue across various levels of education and society globally. This dissertation delves into the complex landscape of cyberbullying text detection. Through a thorough parametric analysis, it explores the intricacies of cyberbullying text detection research, presenting insights into potential solutions and strategies. A case study is conducted to investigate cultural variations and perceptions of offensiveness, particularly within Ghanaian culture, contributing to a deeper understanding of cyberbullying dynamics. The dissertation also explores strategies for prevention and fostering a safer online environment, along with examining cultural interpretations of technology features. Furthermore, this dissertation focuses on detecting cyberbullying in adversarial text content within social networking site, with a specific emphasis on identifying hate speech. Utilizing a deep learning-based approach with a correction algorithm, this dissertation yielded significant results. An LSTM model with a fixed epoch of 100 demonstrated remarkable performance, achieving high accuracy, precision, recall, F1-score, and AUC-ROC scores of 87.57%, 88.73%, 87.57%, 88.17%, and 91% respectively. The LSTM model’s performance surpassed that of previous studies when compared. Additionally, the dissertation offers recommendations for defense strategies against adversarial attacks on AI-based models, providing valuable insights for future research endeavors.
Nelly Elsayed, Ph.D. (Committee Chair)
Amanda La Guardia, Ph.D. (Committee Member)
Zaghloul Elsayed, Ph.D. (Committee Member)
M. Murat Ozer, Ph.D. (Committee Member)
180 p.
Information Technology
Cyberbullying; social networking sites; cultural perspective; detection

Recommended Citations

Citations

  • Azumah, S. (2024). Cyberbullying on Social Networking Site (SNS) : Examining Ghanaian Cultural Perspective, Psychological Impact and Detection Technologies [Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1721399674828143

    APA Style (7th edition)

  • Azumah, Sylvia. Cyberbullying on Social Networking Site (SNS) : Examining Ghanaian Cultural Perspective, Psychological Impact and Detection Technologies. 2024. University of Cincinnati, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1721399674828143.

    MLA Style (8th edition)

  • Azumah, Sylvia. "Cyberbullying on Social Networking Site (SNS) : Examining Ghanaian Cultural Perspective, Psychological Impact and Detection Technologies." Doctoral dissertation, University of Cincinnati, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1721399674828143

    Chicago Manual of Style (17th edition)

ucin1721399674828143
© 2024, some rights reserved.Creative Commons License Cyberbullying on Social Networking Site (SNS) : Examining Ghanaian Cultural Perspective, Psychological Impact and Detection Technologies by Sylvia Azumah is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.