AllanMisasa/TwitterFakeNewsDetector

This project is a classic machine learning implementation that is essentially obsolete in the current AI landscape. With only 4 stars and no updates in nearly six years (age: 2099 days), it represents a snapshot of 2018-era NLP techniques rather than a viable tool for modern misinformation detection. The use of Random Forest and XGBoost for text classification has been entirely superseded by Transformer models (BERT, RoBERTa) and modern LLMs which possess a much deeper semantic understanding of nuance and context. Furthermore, the platform risk is absolute: X (formerly Twitter) has moved toward decentralized human-verification systems like Community Notes, and frontier labs like OpenAI and Anthropic have baked safety and hallucination-detection layers directly into their models. There is no moat here; the features (sentiment/emotion) are commodity components and the logic is a standard supervised learning pipeline easily replicated by any data science student.