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.

A Multiple change-point detection framework on linguistic characteristics of real versus fake news articles

Detecting Fake News with Python and Machine Learning - DataFlair

Fake Online News Spreads Through Social Echo Chambers

Detecting Fake News Through NLP

Opinion How to Monitor Fake News - The New York Times

Detecting fake news at its source, MIT News

Big Data and quality data for fake news and misinformation detection - Fatemeh Torabi Asr, Maite Taboada, 2019

How to Create a Fake News Detection System?

An Exhaustive Guide to Detecting Neural Fake News using NLP

Aims': the software for hire that can control 30,000 fake online profiles, Technology

Full article: Fake news as a two-dimensional phenomenon: a framework and research agenda

Full article: Fake news as a two-dimensional phenomenon: a framework and research agenda