Abusive Language Detection in Online Conversations by Combining Content- and Graph-Based Features

Repository for the code used in my Master's Thesis: Community-based Abuse Detection: Using Distantly Supervised Data and Biased Word Embeddings

Repository for Studying Abuse Detection (Abusive Language Detection)

The code for SOP project done for the topic of Abuse detection in multilingual code-switched and code-mixed language using federated learning

Set rules to target bad posts on Discussions

An emoji abuse lexicon which provides abuse scores for 334 frequently used emojis.

We will update IPs based on our honey pot catching.

A Simplistic SSH HoneyPot With AbuseIPDB Reporting

Abuse detection in online conversations with text and graph embeddings

Enhance aims to resolve the subject of mental issues among individuals by offering a secure, anonymous environment. Any person can freely discuss his/her problem with other individuals suffering from the same issue with qualified counsellors who can provide solutions to their problems.

Social media abuse detection and classification: Tackling cyberbullying

Python framework used at ESORICS, SNAMS and ASONAM to collect and annotate abusive content from Twitter

Synchronization between two Wikipedia-based Corpora

abuseiplookup: A command-line tool to check or get abuse reports for an IP address using the AbuseIPDB API

A trust based social network for user engagement and protection.

Inspirathon 2.0

Guide to Successful Cases for Domestic Abuse Victims - Timelines, Types of Abuse, Evidence, Witnesses, Aid, & Maintaining Networks --- Successful cases, witnesses, chronologies, correlations, examples, discovery, communications, data analysis --- Legal Intern at Chicago University

This work was done as part of Kaggle InClass competition hosted by Sharechat. We had to develop AI solutions for predicting abusive comments posted on the Moj app in 10+ languages given natural language data and user context data.

The Collector.py (lite) is a RedTeam Black-Python script designed to help in finding BAD sites. This script is part of a larger collection and was created to be used with caution. Some functions have been removed to prevent any malicious attacks, but it remains a simple yet powerful script that can be used to scan for bad sites.