misinformation-detection

Safari extension for iPhone, iPad & Mac. Strip tracking from every link, block cookie banners, clean URLs with Siri Shortcuts, watch YouTube in Picture-in-Picture, and get Source Credibility warnings powered by CRED-1. 100% on-device, zero data collection.

HonestyMeter: An NLP-powered framework for evaluating objectivity and bias in media content, detecting manipulative techniques, and providing actionable feedback.

Research code for detecting coordinated manipulation signals and improving robustness in information integrity tasks.

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval

A full-stack web application that detects fake news and misinformation in real time using Natural Language Processing (NLP), a TF-IDF Vectorizer, and a Logistic Regression machine learning model.

Code associated with the NAACL 2025 paper "COVE: COntext and VEracity prediction for out-of-context images"

Code associated with the preprint: "M4FC: a Multimodal, , Multilingual, Multicultural, Multitask real-world Fact-Checking Dataset"

This repository contains the code to reproduce the work "Automated Fact-Checking in Brazilian Portuguese: Resources and Baselines", accepted at STIL 2025.

The Reality Button is a Chrome extension that provides on-demand, AI-powered verification of selected text anywhere on the web. Users can highlight a claim, right-click, and receive a concise assessment of its factual accuracy, including a verdict, confidence score, explanation, and supporting sources.

Tathya (तथ्य, "truth") is an Agentic fact-checking system that verifies claims using multiple sources including Google Search, DuckDuckGo, Wikidata, and news APIs. It provides structured analysis with confidence scores, detailed explanations, and transparent source attribution through a modern Streamlit interface and FastAPI backend.

TRINETRA — Intelligent Threat & Misinformation Detection Platform

Machine Learning and NLP system for detecting social media misinformation and prioritizing high-risk content using risk-based optimization.

Media Literacy System powered by AI - Analyze news for bias and manipulation.

Pipeline that scans US media coverage of journalism topics (women's health) for previously-debunked claims, using a local LLM

🔍 ABCheckers 💬 is a data-driven project that analyzes Twitter discourse to uncover misinformation around 🇵🇭 inflation and the weakening peso, empowering users with contextual insights.

An Agentic AI system for Deepfake Detection & Media Authenticity Verification. Features autonomous model routing, an ensemble of 6 specialized neural networks, and advanced bias correction mechanisms.

AI-powered misinformation detection platform that analyzes text using semantic evidence, fact-checking, and AI signals to generate credibility scores and verdicts.

An advanced AI-powered fake news detection system that verifies text, images, and social media posts using Gemini AI, FastAPI, and Next.js. Includes a modern web interface, a lightweight Streamlit app, and a Chrome extension for real-time fake content detection. Built to combat misinformation with explainable AI results and contextual source links.

TruthLens is a multimodal browser plugin that detects misleading thumbnails, clickbait titles, and low-trust video patterns, then explains, filters, and helps report suspicious content using probabilistic scoring, user feedback, and adaptive AI.

Fake News Detection System, based on Machine Learning & Deep Learning, trained on 44,000+ news articles using TF-IDF, Logistic Regression, Decision Tree, Random Forest, CNN, and LSTM, achieving up to 99.76% accuracy.