[HTML][HTML] Deep learning for fake news detection: A comprehensive survey

L Hu, S Wei, Z Zhao, B Wu - AI open, 2022 - Elsevier
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …

[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches

MR Kondamudi, SR Sahoo, L Chouhan… - Journal of King Saud …, 2023 - Elsevier
The explosion of online social networks in recent decades has significantly improved in
which the way individuals communicate with one another. People trust social networks …

Dual emotion based fake news detection: A deep attention-weight update approach

AM Luvembe, W Li, S Li, F Liu, G Xu - Information Processing & …, 2023 - Elsevier
The proliferation of false information is a growing problem in today's dynamic online
environment. This phenomenon requires automated detection of fake news to reduce its …

Fake news detection: Taxonomy and comparative study

F Farhangian, RMO Cruz, GDC Cavalcanti - Information Fusion, 2024 - Elsevier
The proliferation of social networks has presented a significant challenge in combating the
pervasive issue of fake news within modern societies. Due to the large amount of …

Improving fake news detection by using an entity-enhanced framework to fuse diverse multimodal clues

P Qi, J Cao, X Li, H Liu, Q Sheng, X Mi, Q He… - Proceedings of the 29th …, 2021 - dl.acm.org
Recently, fake news with text and images have achieved more effective diffusion than text-
only fake news, raising a severe issue of multimodal fake news detection. Current studies on …

[HTML][HTML] Multimodal fake news detection

I Segura-Bedmar, S Alonso-Bartolome - Information, 2022 - mdpi.com
Over the last few years, there has been an unprecedented proliferation of fake news. As a
consequence, we are more susceptible to the pernicious impact that misinformation and …

A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities

S Tufchi, A Yadav, T Ahmed - International Journal of Multimedia …, 2023 - Springer
The escalating prevalence of disinformation, or “fake news,” on social media platforms
represents a growing societal concern with far-reaching implications. Its ubiquitous …

Bootstrap** multi-view representations for fake news detection

Q Ying, X Hu, Y Zhou, Z Qian, D Zeng… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Previous researches on multimedia fake news detection include a series of complex feature
extraction and fusion networks to gather useful information from the news. However, how …

Soft-label for multi-domain fake news detection

D Wang, W Zhang, W Wu, X Guo - IEEe Access, 2023 - ieeexplore.ieee.org
The spread of fake news across several fields has had serious negative impacts on the
public and society. Existing studies have shown that the use of multi-domain labels can …

[BOG][B] Sustainability in industry 5.0: theory and applications

CKK Reddy, PR Anisha, S Khan, MM Hanafiah… - 2024 - books.google.com
The text emphasizes the need for data pre-processing, classification and prediction, cluster
analysis, mining multimedia, and advanced machine learning techniques for scientific …