Journal article

Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection

Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie

INFORMATION PROCESSING & MANAGEMENT | ELSEVIER SCI LTD | Published : 2021

Abstract

Many recent studies have demonstrated that the propagation patterns of news on social media can facilitate the detection of fake news. Most of these studies rely on the complete propagation networks to build their model, which is not fully available in the early stages and may take a long time to complete. Hence, relying on the complete propagation network is not ideal for fake news early detection. However, detecting fake news as early as possible is important due to their fast-spreading nature and the significant harm they can cause. In addition, most existing propagation network-based fake news detection techniques are not explicitly designed to jointly emphasise informative cascades and ..

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Grants

Funding Acknowledgements

This research was financially supported by Melbourne Graduate Research Scholarship, Australia and Rowden White Scholarship, Australia.