News recommender system: a review of recent progress, challenges, and opportunities

S Raza, C Ding - Artificial Intelligence Review, 2022 - Springer
Nowadays, more and more news readers read news online where they have access to
millions of news articles from multiple sources. In order to help users find the right and …

Fake news detection: A survey of graph neural network methods

HT Phan, NT Nguyen, D Hwang - Applied Soft Computing, 2023 - Elsevier
The emergence of various social networks has generated vast volumes of data. Efficient
methods for capturing, distinguishing, and filtering real and fake news are becoming …

A survey on automated fact-checking

Z Guo, M Schlichtkrull, A Vlachos - Transactions of the Association for …, 2022 - direct.mit.edu
Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …

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 …

Detecting misleading information on COVID-19

MK Elhadad, KF Li, F Gebali - Ieee Access, 2020 - ieeexplore.ieee.org
This article addresses the problem of detecting misleading information related to COVID-19.
We propose a misleading-information detection model that relies on the World Health …

[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 …

Benchmarks for automated commonsense reasoning: A survey

E Davis - ACM Computing Surveys, 2023 - dl.acm.org
More than one hundred benchmarks have been developed to test the commonsense
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …

A survey on multimodal disinformation detection

F Alam, S Cresci, T Chakraborty, F Silvestri… - arXiv preprint arXiv …, 2021 - arxiv.org
Recent years have witnessed the proliferation of offensive content online such as fake news,
propaganda, misinformation, and disinformation. While initially this was mostly about textual …

A survey on stance detection for mis-and disinformation identification

M Hardalov, A Arora, P Nakov, I Augenstein - arXiv preprint arXiv …, 2021 - arxiv.org
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …

Predicting image credibility in fake news over social media using multi-modal approach

B Singh, DK Sharma - Neural Computing and Applications, 2022 - Springer
Social media are the main contributors to spreading fake images. Fake images are
manipulated images altered through software or by other means to change the information …