Software that can automatically detect fake news

Invented stories, distorted facts: fake news is spreading like wildfire on the internet and is often shared on without thought, particularly on social media. In response, Fraunhofer researchers have developed a system that automatically analyzes social media posts, deliberately filtering out fake news and disinformation. To do this, the tool analyzes both content and metadata, classifying it using machine learning techniques and drawing on user interaction to optimize the results as it goes.

How to Create a Fake News Detection System?

Fake News Detection Project in Python [With Coding]

Frontiers Detecting COVID-19-Related Fake News Using Feature Extraction

Introduction to Automated Fake News Detection, Engineering Education (EngEd) Program

How to deal with AI-enabled disinformation

Multiple features based approach for automatic fake news detection on social networks using deep learning - ScienceDirect

Better fact-checking for fake news, MIT News

Thai Fake News Detection Based on Information Retrieval, Natural Language Processing and Machine Learning

How to Create a Fake News Detection System?

Detecting Fake News with Python and Machine Learning - DataFlair

PDF) Automatic Detection of Fake News

PDF) A Novel Stacking Approach for Accurate Detection of Fake News

5 Types of 'Fake News' and Why They Matter