Analyzing machine learning enabled fake news detection techniques for diversified datasets

S Mishra, P Shukla, R Agarwal - Wireless Communications and …, 2022 - Wiley Online Library
Fake news, or fabric which appeared to be untrue with point of deceiving the open, has
developed in ubiquity in current a long time. Spreading this kind of data undermines societal …

DSS: A hybrid deep model for fake news detection using propagation tree and stance network

M Davoudi, MR Moosavi, MH Sadreddini - Expert Systems with Applications, 2022 - Elsevier
Nowadays, online social media play a significant role in news broadcasts due to their
convenience, speed, and accessibility. Social media platforms leverage the rapid production …

A review on fake news detection 3T's: typology, time of detection, taxonomies

S Rastogi, D Bansal - International Journal of Information Security, 2023 - Springer
Fake news has become an industry on its own, where users paid to write fake news and
create clickbait content to allure the audience. Apparently, the detection of fake news is a …

Deep ensemble fake news detection model using sequential deep learning technique

AM Ali, FA Ghaleb, BAS Al-Rimy, FJ Alsolami, AI Khan - Sensors, 2022 - mdpi.com
Recently, fake news has been widely spread through the Internet due to the increased use
of social media for communication. Fake news has become a significant concern due to its …

Deep fake news detection system based on concatenated and recurrent modalities

A Sedik, AA Abohany, KM Sallam… - Expert Systems with …, 2022 - Elsevier
With the rise in popularity of social media platforms and online forums, they have become a
global source of news. Fake News (FNs) spreading through numerous institutions and …

Combating multimodal fake news on social media: methods, datasets, and future perspective

S Hangloo, B Arora - Multimedia systems, 2022 - Springer
The growth in the use of social media platforms such as Facebook and Twitter over the past
decade has significantly facilitated and improved the way people communicate with each …

CAF-ODNN: Complementary attention fusion with optimized deep neural network for multimodal fake news detection

AM Luvembe, W Li, S Li, F Liu, X Wu - Information Processing & …, 2024 - Elsevier
Fake news is a real problem; unfortunately, it seems to worsen. Even though some false
news detection methods have made significant progress, current multimodal approaches …

Multimodal automated fact-checking: A survey

M Akhtar, M Schlichtkrull, Z Guo, O Cocarascu… - arXiv preprint arXiv …, 2023 - arxiv.org
Misinformation is often conveyed in multiple modalities, eg a miscaptioned image.
Multimodal misinformation is perceived as more credible by humans, and spreads faster …

An image and text-based multimodal model for detecting fake news in OSN's

SK Uppada, P Patel - Journal of Intelligent Information Systems, 2023 - Springer
Abstract Digital Mass Media has become the new paradigm of communication that revolves
around online social networks. The increase in the utilization of online social networks …

[HTML][HTML] NSEP: Early fake news detection via news semantic environment perception

X Fang, H Wu, J Jing, Y Meng, B Yu, H Yu… - Information Processing & …, 2024 - Elsevier
The abundance of heavy data on social media enables users to share opinions freely,
leading to the rapid spread of misleading content. However, existing fake news detection …