Fake News Early Detection: An Interdisciplinary Study
Clickbait headlines might not lure readers as much, may confuse AI - PSU Institute for Computational and Data Sciences | High Performance Computing at Penn State
Fake News, Lies, and Other Familiar Problems | Knight First Amendment Institute
Applied Sciences | Free Full-Text | Fake News Classification Based on Content Level Features
Multiple features based approach for automatic fake news detection on social networks using deep learning - ScienceDirect
Clickbait detection using multiple categorisation techniques - Abinash Pujahari, Dilip Singh Sisodia, 2021
Fake News Detection Using Machine Learning Approaches
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 Detection Techniques on Social Media: A Survey
Understanding archetypes of fake news via fine-grained classification | SpringerLink
![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]
Misleading Online Content: Recognizing Clickbait as "False News" | Semantic Scholar
Infographic: Beyond Fake News – 10 Types of Misleading News – Seventeen Languages - EAVI
A systematic review on fake news research through the lens of news creation and consumption: Research efforts, challenges, and future directions | PLOS ONE
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
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
A systematic survey on deep learning and machine learning approaches of fake news detection in the pre- and post-COVID-19 pandemic | Emerald Insight
clickbait · GitHub Topics · GitHub
Fake News Detection Techniques on Social Media: A Survey
A transformer-based architecture for fake news classification | SpringerLink
Framework for Fake News Classification Using Vectorization and Machine Learning | SpringerLink
Frontiers | Detection of Fake News on COVID-19 on Web Search Engines
Fake News Detection on Social Media: A Data Mining Perspective
Understanding archetypes of fake news via fine-grained classification | SpringerLink
