I-SFND: a novel interpretable self-ensembled semi-supervised model based on transformers for fake news detection

Fake news detection based on statement conflict

(2022) Danchen Zhang et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

A comprehensive Benchmark for fake news detection

(2022) Antonio Galli et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection

(2021) William Scott Paka et al.   APPLIED SOFT COMPUTING

A temporal ensembling based semi-supervised ConvNet for the detection of fake news articles

(2021) Priyanka Meel et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel self-learning semi-supervised deep learning network to detect fake news on social media

(2021) Xin Li et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A network-based positive and unlabeled learning approach for fake news detection

(2021) Mariana Caravanti de Souza et al.   MACHINE LEARNING

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

(2020) Kai Shu et al.   Big Data

Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study

(2020) Michał Choraś et al.   APPLIED SOFT COMPUTING

Supervised Learning for Fake News Detection

(2019) Julio C. S. Reis et al.   IEEE INTELLIGENT SYSTEMS

Combating Fake News

(2019) Karishma Sharma et al.   ACM Transactions on Intelligent Systems and Technology

A survey on semi-supervised learning

(2019) Jesper E. van Engelen et al.   MACHINE LEARNING

The spread of true and false news online

(2018) Soroush Vosoughi et al.   SCIENCE

A Credibility Analysis System for Assessing Information on Twitter

(2017) Majed Alrubaian et al.   IEEE Transactions on Dependable and Secure Computing

Semi-Supervised Text Classification With Universum Learning

(2016) Chien-Liang Liu et al.   IEEE Transactions on Cybernetics