Filtering Online Harassment: ML based Cyberbullying Detectionz
Main Article Content
Abstract
Cyber bullying has emerged as a great threat to the people on the internet. The platform, which was made for good use, is being used by some to harass people. This is actually a misuse of a great invention. Also, the nature of social media is such that these things spread very quickly due to the online communications. Many times, this spreads anonymously. Manual way of detection of cyber bullying will be very inefficient and a lot of time consuming. Thus, an automated cyber bullying detection using machine learning will come to help. This paper explores the effectiveness of various machine learning algorithms in classifying the tweets into different types of cyber bullying, including age based, ethnicity based, gender based, religious based and non cyber bullying. This automated detection using machine learning will offer a great approach to mitigate these bullying and its after effects by identifying and isolating the harmful texts and messages in real time.
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Singh, A., Mishra, H. O. S., & Jha, S. K. (2025). Filtering Online Harassment: ML based Cyberbullying Detectionz. SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 17(01), 1-6. https://doi.org/10.18090/samriddhi.v17i01.01
Section
Research Article
References
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bullied support behavior. In 2015 IEEE International Conference
on Intelligence and Security Informatics (ISI) (pp. 163-165). IEEE.
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August). Machine learning techniques to detect cyber-bullying.
In 2023 5th International Conference on Inventive Research in
Computing Applications (ICIRCA) (pp. 639-643). IEEE.
Rohini, D. S., & Ramchander, M. (2023, November). A Comparative
Study of Machine Learning Approaches for Cyber bullying
Detection in Digital Forums. In 2023 International Conference
on Advances in Computation, Communication and Information
Technology (ICAICCIT) (pp. 332-338). IEEE.
Serra, S. M., & Venter, H. S. (2011, August). Mobile cyber-bullying:
A proposal for a pre-emptive approach to risk mitigation by
employing digital forensic readiness. In 2011 Information Security
for South Africa (pp. 1-5). IEEE.
Nakano, T., Suda, T., Okaie, Y., & Moore, M. J. (2016, February).
Analysis of cyber aggression and cyber-bullying in social
networking. In 2016 IEEE tenth international conference on
semantic computing (ICSC) (pp. 337-341). IEEE.
[6] Behzadi, M., Harris, I. G., & Derakhshan, A. (2021, January). Rapid
Cyber-bullying detection method using Compact BERT Models.
In 2021 IEEE 15th International Conference on Semantic Computing
(ICSC) (pp. 199-202). IEEE.
[7] Jain, V., Saxena, A. K., Senthil, A., Jain, A., & Jain, A. (2021,
December). Cyber-bullying detection in social media platform
using machine learning. In 2021 10th International Conference on
System Modeling & Advancement in Research Trends (SMART) (pp.
401-405). IEEE.
[8] Pawar, V., Jose, D. V., & Patil, A. (2022, December). Explainable
AI method for cyber bullying detection. In 2022 IEEE 2nd
International Conference on Mobile Networks and Wireless
Communications (ICMNWC) (pp. 1-4). IEEE.
[9] Hsien, Y. K., Salam, Z. A. A., & Kasinathan, V. (2022, April). Cyber
bullying detection using natural language processing (NLP)
and text analytics. In 2022 IEEE International Conference on
Distributed Computing and Electrical Circuits and Electronics
(ICDCECE) (pp. 1-4). IEEE.
[10] Siddhartha, K., Kumar, K. R., Varma, K. J., Amogh, M., & Samson,
M. (2022, August). Cyber Bullying Detection Using Machine
Learning. In 2022 2nd Asian Conference on Innovation in
Technology (ASIANCON) (pp. 1-4). IEEE.
[11] Aqeel, H., & Kamble, A. (2022, December). A Hybrid Classifier
of Cyber Bullying Detection in Social Media Platforms. In 2022
Fourth International Conference on Emerging Research in
Electronics, Computer Science and Technology (ICERECT) (pp.
1-5). IEEE.
[12] Rajeevan, A., & Krishnaraj, N. (2023, January). Detection Of
Cyberbullying based On Online Social Networks. In 2023
International Conference on Computer Communication and
Informatics (ICCCI) (pp. 1-4). IEEE.
[13] Di Capua, M., Di Nardo, E., & Petrosino, A. (2016, December).
Unsupervised cyber bullying detection in social networks.
In 2016 23rd International conference on pattern recognition
(ICPR) (pp. 432-437). IEEE.
[14] Jia, H. L., Hameed, V. A., & Rana, M. E. (2022, January). CyberSaver–A Machine Learning Approach to Detection
of Cyber Bullying. In 2022 16th International Conference on
Ubiquitous Information Management and Communication
(IMCOM) (pp. 1-5). IEEE.
[15] Altay, E. V., & Alatas, B. (2018, December). Detection of
cyberbullying in social networks using machine learning
methods. In 2018 International Congress on Big Data, Deep
Learning and Fighting Cyber Terrorism (IBIGDELFT) (pp. 87-91).
IEEE.
[16] Jadhav, R., Agarwal, N., Shevate, S., Sawakare, C., Parakh, P., &
Khandare, S. (2023, June). Cyber bullying and toxicity detection
using machine learning. In 2023 3rd International Conference
on Pervasive Computing and Social Networking (ICPCSN) (pp.
66-73). IEEE.
[17] Di Capua, M., Di Nardo, E., & Petrosino, A. (2016, December).
Unsupervised cyber bullying detection in social networks.
In 2016 23rd International conference on pattern recognition
(ICPR) (pp. 432-437). IEEE.
[18] Nandhini, B. S., & Sheeba, J. I. (2015). Online social network
bullying detection using intelligence techniques. Procedia
Computer Science, 45, 485-492.
[19] Njuguna, L. W. (2024). AI-Assisted Digital Forensics for National
Security Investigations. International Journal of Technology,
Management and Humanities, 10(01), 125-146.
[20] Chavan, V. S., & Shylaja, S. S. (2015, August). Machine learning
approach for detection of cyber-aggressive comments by
peers on social media network. In 2015 International Conference
on Advances in Computing, Communications and Informatics
(ICACCI) (pp. 2354-2358). IEEE.
[21] Dinakar, K., Reichart, R., & Lieberman, H. (2011). Modeling
the detection of textual cyberbullying. In Proceedings of the
International AAAI Conference on Web and Social Media (Vol. 5,
No. 3, pp. 11-17).