fake-news-dataset

📖 A curated list of resources dedicated to Fake News Detection

✨ Fake news classification using source adaptive framework - BE Project 🎓The repository contains Detailed Documentation of the project, Classification pipeline, Architecture, System Interface Design, Tech stack used.

(NeurIPS 2022) Official Implementation of Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification

Classifying Verified used users on Twitter based on how likely they are to share Fake News articles

a consolidated and cleaned up fake news dataset classified in the following categories: reliable, unreliable, political, bias, fake, conspiracy, rumor clickbait, junk science, satire, hate

Collection of Portuguese Fact-Checking Benchmarks.

Hybrid passage retrieval over the ISOT news corpus with TF-IDF, MiniLM, RRF, reproducible evaluation, and a documented classification baseline.

NLP verdict classification of ColombiaCheck fact-checks (Spanish · BETO) — with model cards, datasheets, and data statements.

This repository contains the official Python code and resources for the research paper: "Portuguese Automated Fact-checking: Information Retrieval with Claim extraction".

The project classifies fake news using k-Nearest Neighbors and Multilayer Perceptron, with preprocessing, TF-IDF and PCA for feature extraction. Evaluation metrics include accuracy, precision, recall and F1-score, with insights visualized through word frequency analyses, feature distributions, and model performance graphs.

English and Turkish Misinformation Detection Dataset from "MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection"

In this project, a dataset about fake news is collected and combined with pre-existing datasets. In addition, a model that can detect if an input text is a piece of fake news is created.

This WebApp uses a combination of a Large Language Model and Logistic Regression to make predictions to identify fake news.

Red wine quality prediction based on multi-dimensional vectors. Each dimension is a different sensor metric. In the same repository, there is another model that predicts if a news title is fake or not (onion-or-not dataset).

One of the first Bengali fake news datasets scraped from local newspapers. Supporting NLP research in underrepresented languages. Published at IEEE IS 2020.