Safeguarding Online Spaces: A Powerful Fusion of Federated Learning, Word Embeddings, and Emotional Features for Cyberbullying Detection-Reference-Cited by-同舟云学术

Safeguarding Online Spaces: A Powerful Fusion of Federated Learning, Word Embeddings, and Emotional Features for Cyberbullying Detection

Published:2023 Issue: Volume:11 Page:124524-124541
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Samee Nagwan Abdel¹^ORCID,Khan Umair²,Khan Salabat³,Jamjoom Mona M.⁴^ORCID,Sharif Muhammad³,Kim Do Hyuen⁵

Affiliation:

1. Department of Information Technology, College of Computer and Information Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

2. Department of Computer Science, Air University, Islamabad, Aerospace and Aviation Campus, Kamra, Pakistan

3. Department of Computer Science, COMSATS University Islamabad, Attock Campus, Punjab, Pakistan

4. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

5. Department of Computer Engineering, Jeju National University, Jeju-si, Republic of Korea

Funder

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, through the Princess Nourah bint Abdulrahman University Researchers Supporting Project

National Research Foundation of Korea (NRF) through the Brain Pool Program

Creative Research Project

Princess Nourah bint Abdulrahman University Researchers Supporting Project number

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10305070.pdf?arnumber=10305070

Reference74 articles.

1. Cyberbullying dataset;shahane;Cyberbullying,2000

2. Cyberbullying: Experiences, impacts and coping strategies as described by Australian young people;price;Youth Studies Australia,2010

3. Communication-efficient learning of deep networks from decentralized data;mcmahan;Proc Artif Intell Statist,2017

4. Cyberbullying and its consequences: How cyberbullying is contorting the minds of victims and bullies alike, and the law’s limited available redress;miller;Southern California Interdisciplinary Law Journal,2016

5. Improving Cyberbullying Detection with User Context

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