Software that can automatically detect fake news
Por um escritor misterioso
Descrição
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.
Optimization and improvement of fake news detection using deep learning approaches for societal benefit - ScienceDirect
Artificial intelligence system could help counter the spread of disinformation, MIT News
Detecting Fake News with Python and Machine Learning - DataFlair
Fake News Detection Project Using Machine Learning
Fake news, disinformation and misinformation in social media: a review
Opinion How to Monitor Fake News - The New York Times
FakeNewsTracker: a tool for fake news collection, detection, and visualization
New explainability method for BERT-based model in fake news detection
Fake news, disinformation and misinformation in social media: a review
Fake news reminders and veracity labels differentially benefit memory and belief accuracy for news headlines
Multiple features based approach for automatic fake news detection on social networks using deep learning - ScienceDirect
The language gives it away: How an algorithm can help us detect fake news
Why we fall for fake news: Hijacked thinking or laziness?
Detecting fake news at its source, MIT News
Detecting Fake News Through NLP
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