Detecting cyberbullying in tweets using Machine Learning

Source code and models for the paper "Cyberbullying Detection with Fairness Constraints". IEEE Internet Computing, 2020

Cyber Bullying Detection Application (CBDA)

Discord Cyberbullying Bot

InsightGuard is AI-powered, free to use and open source, cybersecurity API with a lot of functionalities. Python + Next.js

Repository hosting dataset for the Shared Task on Aggression Identification during First Workshop on Trolling, Aggression and Cyberbullying (TRAC - 1) as COLING - 2018. Please visit the workshop website - https://sites.google.com/view/trac1/home - for more details

This app predicts the nature of the tweet into 6 Categories. i.e. Age, Ethnicity, Gender, Religion, Other Cyberbullying, Not Cyberbullying.

Public Website for Kindly

Identifying trolling, aggression, cyber-bullying and hate speech etc. Three classes: Overtly Aggressive (OAG), Covertly Aggressive (CAG), and Non-aggressive (NAG)

The dataset contains 1,508 TikTok comments related to cyberbullying, focusing on humiliation pertaining to physical appearance, including ridicule, insults, or body-shaming.

10 Latest Final Year Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

Repository for the experiments described in "Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity" submitted as pre-print to arXiv.

The project deals with the identification of high accuracy model among the given models to detect the cyberbullying in text by training them with the given dataset which is preprocessed and vectorized with tf-idf

Cyberbullying Detection App tailored for the Arabic language. The app is designed to identify instances of cyberbullying in Arabic text using various machine learning and deep learning algorithms.

This application can detect the hate and toxic tweets of users amongst an entire corpora of tweets and thus can be an effective methodology towards reducing cyber bullying.

Cyber bullying detection in Twitter using machine learning

Cyberbullying early warning and governance system - Uses natural language processing and machine learning techniques to automatically detect, warn, and respond to violent content in cyberspace. 网络暴力预警和治理系统 - 使用自然语言处理和机器学习技术自动检测、预警和应对网络空间中的暴力内容

A Model Training for Cyberbullying Detection by Using Youtube Comments

Code and data for the paper "Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Models" (Arxiv 2023)

Successfully fine-tuned a pretrained DistilBERT transformer model that can classify social media text data into one of 4 cyberbullying labels i.e. ethnicity/race, gender/sexual, religion and not cyberbullying with a remarkable accuracy of 99%.