Journal of Cognitive Human-Computer Interaction JCHCI 2771-1463 2771-1471 10.54216/JCHCI https://www.americaspg.com/journals/show/1047 2021 2021 Hate Speech Detection on Social Media Using Machine Learning Algorithms Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India. admin admin Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India. Ritik Gad Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India. Pranav Gawali Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India. Mangesh Gite Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India. Dr. A. B. Pawa There is an enormous growth of social media which fully promotes freedom of expression through its anonymity feature. Freedom of expression is a human right but hate speech towards a person or group based on race, caste, religion, ethnic or national origin, sex, disability, gender identity, etc. is an abuse of this sovereignty. It seriously promotes violence or hate crimes and creates an imbalance in society by damaging peace, credibility, and human rights, etc. To overcome this problem, the hate speech detection model is made which will classify the speech and if the speech used by user is containing hate word, it will be detected and system will sent an alert message to user about it. In order to solve various hate speech problems we use some of the machine learning algorithms such as logistic regression and random forest. If user disrupts cyber guidelines, then strict action shall be taken and user’s account will be ban forever. This help to reduce cyber crimes in effective and efficient manner. 2022 2022 56 59 10.54216/JCHCI.020203 https://www.americaspg.com/articleinfo/25/show/1047