Software that can automatically detect fake news
Por um escritor misterioso
Last updated 20 setembro 2024
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.
Fake News Detection Project Using Machine Learning
A digital media literacy intervention increases discernment between mainstream and false news in the United States and India
Fake News Detection on Social Media: A Data Mining Perspective: ACM SIGKDD Explorations Newsletter: Vol 19, No 1
Fake news detection within online social media using supervised artificial intelligence algorithms - ScienceDirect
Detecting Fake News Through NLP
A Multiple change-point detection framework on linguistic characteristics of real versus fake news articles
Big Data and quality data for fake news and misinformation detection - Fatemeh Torabi Asr, Maite Taboada, 2019
PDF) Fake News Detection on Social Media: A Data Mining Perspective
Fake News Detection Project Using Machine Learning
New explainability method for BERT-based model in fake news detection
Optimization and improvement of fake news detection using deep learning approaches for societal benefit - ScienceDirect
Fake news, disinformation and misinformation in social media: a review
Detecting Fake News with Natural Language Processing - Analytics Vidhya
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