Future Internet | Free Full-Text | Language-Independent Fake News Detection: English, Portuguese, and Spanish Mutual Features
Understanding archetypes of fake news via fine-grained classification | SpringerLink
Clickbait headlines might not lure readers as much, may confuse AI - PSU Institute for Computational and Data Sciences | High Performance Computing at Penn State
clickbait · GitHub Topics · GitHub
Framework for Fake News Classification Using Vectorization and Machine Learning | SpringerLink
A systematic review on fake news research through the lens of news creation and consumption: Research efforts, challenges, and future directions | PLOS ONE
The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions | Humanities and Social Sciences Communications
Fake News Classification: A Quantitative Research Description | ACM Transactions on Asian and Low-Resource Language Information Processing
Information | Free Full-Text | Towards the Detection of Fake News on Social Networks Contributing to the Improvement of Trust and Transparency in Recommendation Systems: Trends and Challenges
A systematic review on fake news research through the lens of news creation and consumption: Research efforts, challenges, and future directions | PLOS ONE
Misleading Online Content: Recognizing Clickbait as "False News" | Semantic Scholar
Infographic: Beyond Fake News – 10 Types of Misleading News – Seventeen Languages - EAVI
A transformer-based architecture for fake news classification | SpringerLink
Trends in combating fake news on social media – a survey
Fighting Misinformation and Fake News using NLP
Fake News Detection Techniques on Social Media: A Survey
Infographic: Beyond Fake News – 10 Types of Misleading News – Seventeen Languages - EAVI
Fake News Detection Using Machine Learning Approaches
Applied Sciences | Free Full-Text | Fake News Classification Based on Content Level Features
Fighting Misinformation and Fake News using NLP
Fake News Detection on Social Media: A Data Mining Perspective
WELFake: Word Embedding Over Linguistic Features for Fake News Detection
![Fake news detection: a survey of evaluation datasets [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-518/1/fig-6-2x.jpg "Fake news detection: a survey of evaluation datasets [PeerJ]")
Fake news detection: a survey of evaluation datasets [PeerJ]
Fake News Early Detection: An Interdisciplinary Study
Clickbait detection using multiple categorisation techniques - Abinash Pujahari, Dilip Singh Sisodia, 2021
From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles - ACL Anthology
Multiple features based approach for automatic fake news detection on social networks using deep learning - ScienceDirect
