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érzékelő Autonóm átlyukasztás fake news classification type clickbait tudós lekapcsolás törvényhozás

Framework for Fake News Classification Using Vectorization and Machine  Learning | SpringerLink
Framework for Fake News Classification Using Vectorization and Machine Learning | SpringerLink

Multiple features based approach for automatic fake news detection on  social networks using deep learning - ScienceDirect
Multiple features based approach for automatic fake news detection on social networks using deep learning - ScienceDirect

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
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

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 headlines might not lure readers as much, may confuse AI - PSU Institute for Computational and Data Sciences | High Performance Computing at Penn State

Understanding archetypes of fake news via fine-grained classification |  SpringerLink
Understanding archetypes of fake news via fine-grained classification | SpringerLink

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
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

Fake News Early Detection: An Interdisciplinary Study
Fake News Early Detection: An Interdisciplinary Study

Fake News Classification: A Quantitative Research Description | ACM  Transactions on Asian and Low-Resource Language Information Processing
Fake News Classification: A Quantitative Research Description | ACM Transactions on Asian and Low-Resource Language Information Processing

A systematic review on fake news research through the lens of news creation  and consumption: Research efforts, challenges, and future directions | PLOS  ONE
A systematic review on fake news research through the lens of news creation and consumption: Research efforts, challenges, and future directions | PLOS ONE

clickbait · GitHub Topics · GitHub
clickbait · GitHub Topics · GitHub

Applied Sciences | Free Full-Text | Fake News Classification Based on  Content Level Features
Applied Sciences | Free Full-Text | Fake News Classification Based on Content Level Features

Fake news detection within online social media using supervised artificial  intelligence algorithms - ScienceDirect
Fake news detection within online social media using supervised artificial intelligence algorithms - ScienceDirect

Trends in combating fake news on social media – a survey
Trends in combating fake news on social media – a survey

Fighting Misinformation and Fake News using NLP
Fighting Misinformation and Fake News using NLP

Fake News Detection Using Machine Learning Approaches
Fake News Detection Using Machine Learning Approaches

Fake News Detection Techniques on Social Media: A Survey
Fake News Detection Techniques on Social Media: A Survey

Fake News, Lies, and Other Familiar Problems | Knight First Amendment  Institute
Fake News, Lies, and Other Familiar Problems | Knight First Amendment Institute

A transformer-based architecture for fake news classification | SpringerLink
A transformer-based architecture for fake news classification | SpringerLink

Future Internet | Free Full-Text | Language-Independent Fake News  Detection: English, Portuguese, and Spanish Mutual Features
Future Internet | Free Full-Text | Language-Independent Fake News Detection: English, Portuguese, and Spanish Mutual Features

A review on fake news detection 3T's: typology, time of detection,  taxonomies | SpringerLink
A review on fake news detection 3T's: typology, time of detection, taxonomies | SpringerLink

Infographic: Beyond Fake News – 10 Types of Misleading News – Seventeen  Languages - EAVI
Infographic: Beyond Fake News – 10 Types of Misleading News – Seventeen Languages - EAVI

Infographic: Beyond Fake News – 10 Types of Misleading News – Seventeen  Languages - EAVI
Infographic: Beyond Fake News – 10 Types of Misleading News – Seventeen Languages - EAVI

Fake news detection: a survey of evaluation datasets [PeerJ]
Fake news detection: a survey of evaluation datasets [PeerJ]

Fake news: a classification proposal and a future research agenda | Emerald  Insight
Fake news: a classification proposal and a future research agenda | Emerald Insight

A review on fake news detection 3T's: typology, time of detection,  taxonomies | SpringerLink
A review on fake news detection 3T's: typology, time of detection, taxonomies | SpringerLink