[HTML][HTML] Fake news, disinformation and misinformation in social media: a review

E Aïmeur, S Amri, G Brassard - Social Network Analysis and Mining, 2023 - Springer
Online social networks (OSNs) are rapidly growing and have become a huge source of all
kinds of global and local news for millions of users. However, OSNs are a double-edged …

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 …

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 …

GCAN: Graph-aware co-attention networks for explainable fake news detection on social media

YJ Lu, CT Li - arXiv preprint arXiv:2004.11648, 2020 - arxiv.org
This paper solves the fake news detection problem under a more realistic scenario on social
media. Given the source short-text tweet and the corresponding sequence of retweet users …

defend: Explainable fake news detection

K Shu, L Cui, S Wang, D Lee, H Liu - Proceedings of the 25th ACM …, 2019 - dl.acm.org
In recent years, to mitigate the problem of fake news, computational detection of fake news
has been studied, producing some promising early results. While important, however, we …

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 …

Fake news detection within online social media using supervised artificial intelligence algorithms

FA Ozbay, B Alatas - Physica A: statistical mechanics and its applications, 2020 - Elsevier
Along with the development of the Internet, the emergence and widespread adoption of the
social media concept have changed the way news is formed and published. News has …

[HTML][HTML] Sentiment analysis for fake news detection

MA Alonso, D Vilares, C Gómez-Rodríguez, J Vilares - Electronics, 2021 - mdpi.com
In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …

Bad actor, good advisor: Exploring the role of large language models in fake news detection

B Hu, Q Sheng, J Cao, Y Shi, Y Li, D Wang… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Detecting fake news requires both a delicate sense of diverse clues and a profound
understanding of the real-world background, which remains challenging for detectors based …

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 …