Filtering Online Harassment: ML based Cyberbullying Detection

Main Article Content

HARI OM SHANKER MISHRA
Ayushman Singh
SUMIT KUMAR JHA

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. 

Downloads

Download data is not yet available.

Article Details

How to Cite
1.
MISHRA HO, Singh A, JHA S. Filtering Online Harassment: ML based Cyberbullying Detection. sms [Internet]. 29Mar.2025 [cited 1Apr.2025];17(01). Available from: https://smsjournals.com/index.php/SAMRIDDHI/article/view/3280
Section
Research Article

References

[1] S. Owusu and L. Zhou, "Positive bystanding behavior in cyberbullying: The impact of empathy on adolescents' cyber bullied support behavior," 2015 IEEE International Conference on Intelligence and Security Informatics (ISI), Baltimore, MD, USA, 2015, pp. 163-165, doi: 10.1109/ISI.2015.7165962.
[2] . S. Singla, R. Lal, K. Sharma, A. Solanki and J. Kumar, "Machine Learning Techniques to Detect Cyber-Bullying," 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 639-643, doi: 10.1109/ICIRCA57980.2023.10220908.
[3] D. S. Rohini and M. Ramchander, "A Comparative Study of Machine Learning Approaches for Cyber bullying Detection in Digital Forums," 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), Faridabad, India, 2023, pp. 332-338, doi: 10.1109/ICAICCIT60255.2023.10466143.
[4] S. M. Serra and H. S. Venter, "Mobile cyber-bullying: A proposal for a pre-emptive approach to risk mitigation by employing digital forensic readiness," 2011 Information Security for South Africa, Johannesburg, South Africa, 2011, pp. 1-5, doi: 10.1109/ISSA.2011.6027507.
[5] T. Nakano, T. Suda, Y. Okaie and M. J. Moore, "Analysis of Cyber Aggression and Cyber-Bullying in Social Networking," 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), Laguna Hills, CA, USA, 2016, pp. 337-341, doi: 10.1109/ICSC.2016.111.
[6] M. Behzadi, I. G. Harris and A. Derakhshan, "Rapid Cyber-bullying detection method using Compact BERT Models," 2021 IEEE 15th International Conference on Semantic Computing (ICSC), Laguna Hills, CA, USA, 2021, pp. 199-202, doi: 10.1109/ICSC50631.2021.00042.
[7] V. Jain, A. K. Saxena, A. Senthil, A. Jain and A. Jain, "Cyber-Bullying Detection in Social Media Platform using Machine Learning," 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART), MORADABAD, India, 2021, pp. 401-405, doi: 10.1109/SMART52563.2021.9676194.
[8] V. Pawar, D. V. Jose and A. Patil, "Explainable AI Method for Cyber bullying Detection," 2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkur, Karnataka, India, 2022, pp. 1-4, doi: 10.1109/ICMNWC56175.2022.10031652.
[9] Y. Khang Hsien, Z. Arabee Abdul Salam and V. Kasinathan, "Cyber Bullying Detection using Natural Language Processing (NLP) and Text Analytics," 2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballari, India, 2022, pp. 1-4, doi: 10.1109/ICDCECE53908.2022.9792931
[10] K. Siddhartha, K. R. Kumar, K. J. Varma, M. Amogh and M. Samson, "Cyber Bullying Detection Using Machine Learning," 2022 2nd Asian Conference on Innovation in Technology (ASIANCON), Ravet, India, 2022, pp. 1-4, doi: 10.1109/ASIANCON55314.2022.9909201.
[11] H. Aqeel and A. Kamble, "A Hybrid Classifier of Cyber Bullying Detection in Social Media Platforms," 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), Mandya, India, 2022, pp. 1-5, doi: 10.1109/ICERECT56837.2022.10060739.
[12] A. Rajeevan and N. Krishnaraj, "Detection Of Cyberbullying based On Online Social Networks," 2023 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, 2023, pp. 1-4, doi: 10.1109/ICCCI56745.2023.10128506.
[13] M. Di Capua, E. Di Nardo and A. Petrosino, "Unsupervised cyber bullying detection in social networks," 2016 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016, pp. 432-437, doi: 10.1109/ICPR.2016.7899672.
[14] H. L. Jia, V. Abdul Hameed and M. E. Rana, "CyberSaver – A Machine Learning Approach to Detection of Cyber Bullying," 2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM), Seoul, Korea, Republic of, 2022, pp. 1-5, doi: 10.1109/IMCOM53663.2022.9721630.
[15] E. V. Altay and B. Alatas, "Detection of Cyberbullying in Social Networks Using Machine Learning Methods," 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT), Ankara, Turkey, 2018, pp. 87-91, doi: 10.1109/IBIGDELFT.2018.8625321.
[16] R. Jadhav, N. Agarwal, S. Shevate, C. Sawakare, P. Parakh and S. Khandare, "Cyber Bullying and Toxicity Detection Using Machine Learning," 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India, 2023, pp. 66-73, doi: 10.1109/ICPCSN58827.2023.00017.
[17] M. Di Capua, E. Di Nardo and A. Petrosino, "Unsupervised cyber bullying detection in social networks," 2016 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016, pp. 432-437, doi: 10.1109/ICPR.2016.7899672.
[18] Nandhini, B. & Immanuvelrajkumar, Sheeba. (2015). Online Social Network Bullying Detection Using Intelligence Techniques. Procedia Computer Science. 45. 485-492. 10.1016/j.procs.2015.03.085.
[19] V. S. Chavan and Shylaja S S, "Machine learning approach for detection of cyber-aggressive comments by peers on social media network," 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Kochi, India, 2015, pp. 2354-2358, doi: 10.1109/ICACCI.2015.7275970
[20] Dinakar, Karthik & Reichart, Roi & Lieberman, Henry. (2011). Modeling the Detection of Textual Cyberbullying.