Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities

P Meel, DK Vishwakarma - Expert Systems with Applications, 2020 - Elsevier
Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …

Deep learning for misinformation detection on online social networks: a survey and new perspectives

MR Islam, S Liu, X Wang, G Xu - Social Network Analysis and Mining, 2020 - Springer
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …

Fake news detection based on news content and social contexts: a transformer-based approach

S Raza, C Ding - International Journal of Data Science and Analytics, 2022 - Springer
Fake news is a real problem in today's world, and it has become more extensive and harder
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …

[PDF][PDF] Multimodal fusion with co-attention networks for fake news detection

Y Wu, P Zhan, Y Zhang, L Wang… - Findings of the association …, 2021 - aclanthology.org
Fake news with textual and visual contents has a better story-telling ability than text-only
contents, and can be spread quickly with social media. People can be easily deceived by …

Mvae: Multimodal variational autoencoder for fake news detection

D Khattar, JS Goud, M Gupta, V Varma - The world wide web conference, 2019 - dl.acm.org
In recent times, fake news and misinformation have had a disruptive and adverse impact on
our lives. Given the prominence of microblogging networks as a source of news for most …

Cross-modal ambiguity learning for multimodal fake news detection

Y Chen, D Li, P Zhang, J Sui, Q Lv, L Tun… - Proceedings of the ACM …, 2022 - dl.acm.org
Cross-modal learning is essential to enable accurate fake news detection due to the fast-
growing multimodal contents in online social communities. A fundamental challenge of …

[HTML][HTML] Multimodal fake news detection via progressive fusion networks

J Jing, H Wu, J Sun, X Fang, H Zhang - Information processing & …, 2023 - Elsevier
Multimodal fake news detection methods based on semantic information have achieved
great success. However, these methods only exploit the deep features of multimodal …

Temporally evolving graph neural network for fake news detection

C Song, K Shu, B Wu - Information Processing & Management, 2021 - Elsevier
The proliferation of fake news on social media has the probability to bring an unfavorable
impact on public opinion and social development. Many efforts have been paid to develop …

A comprehensive review on fake news detection with deep learning

MF Mridha, AJ Keya, MA Hamid, MM Monowar… - IEEE …, 2021 - ieeexplore.ieee.org
A protuberant issue of the present time is that, organizations from different domains are
struggling to obtain effective solutions for detecting online-based fake news. It is quite …

Eann: Event adversarial neural networks for multi-modal fake news detection

Y Wang, F Ma, Z Jin, Y Yuan, G Xun, K Jha… - Proceedings of the 24th …, 2018 - dl.acm.org
As news reading on social media becomes more and more popular, fake news becomes a
major issue concerning the public and government. The fake news can take advantage of …