Understanding fake news consumption: A review

JP Baptista, A Gradim - Social Sciences, 2020 - mdpi.com
Combating the spread of fake news remains a difficult problem. For this reason, it is
increasingly urgent to understand the phenomenon of fake news. This review aims to see …

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 evaluation datasets

A D'Ulizia, MC Caschera, F Ferri, P Grifoni - PeerJ Computer Science, 2021 - peerj.com
Fake news detection has gained increasing importance among the research community due
to the widespread diffusion of fake news through media platforms. Many dataset have been …

Semi-supervised learning and graph neural networks for fake news detection

A Benamira, B Devillers, E Lesot, AK Ray… - Proceedings of the …, 2019 - dl.acm.org
Social networks have become the main platforms for information dissemination.
Nevertheless, due to the increasing number of users, social media platforms tend to be …

Machine Learning based Fake News Detection using linguistic features and word vector features

MK Jain, D Gopalani, YK Meena… - 2020 IEEE 7th Uttar …, 2020 - ieeexplore.ieee.org
Nowadays on the internet, lots of information is spread every second by the people. On
social media, most of the users do not verify the information and propagate it. Manually …

[HTML][HTML] Exploiting content characteristics for explainable detection of fake news

S Muñoz, CÁ Iglesias - Big Data and Cognitive Computing, 2024 - mdpi.com
The proliferation of fake news threatens the integrity of information ecosystems, creating a
pressing need for effective and interpretable detection mechanisms. Recent advances in …

KAGN: knowledge-powered attention and graph convolutional networks for social media rumor detection

W Cui, M Shang - Journal of big Data, 2023 - Springer
Rumor posts have received substantial attention with the rapid development of online and
social media platforms. The automatic detection of rumor from posts has emerged as a major …

[PDF][PDF] Newsbag: A multimodal benchmark dataset for fake news detection

S **dal, R Sood, R Singh, M Vatsa… - CEUR Workshop …, 2020 - ceur-ws.org
The spread of fake news poses a critical problem in today's world, where most individuals
consume information from online platforms. Fake news detection is an arduous task, marred …

Comparison of fake and real news based on morphological analysis

J Kapusta, P Hájek, M Munk, Ľ Benko - Procedia Computer Science, 2020 - Elsevier
Easy access to information results in the phenomenon of false news spreading intentionally
through social networks to manipulate people's opinions. Fake news detection has recently …

Multiverse: Multilingual evidence for fake news detection

D Dementieva, M Kuimov, A Panchenko - Journal of Imaging, 2023 - mdpi.com
The rapid spread of deceptive information on the internet can have severe and irreparable
consequences. As a result, it is important to develop technology that can detect fake news …