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 …

A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities

S Tufchi, A Yadav, T Ahmed - International Journal of Multimedia …, 2023 - Springer
The escalating prevalence of disinformation, or “fake news,” on social media platforms
represents a growing societal concern with far-reaching implications. Its ubiquitous …

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 …

A systematic literature review and existing challenges toward fake news detection models

M Nirav Shah, A Ganatra - Social Network Analysis and Mining, 2022 - Springer
Emerging of social media creates inconsistencies in online news, which causes confusion
and uncertainty for consumers while making decisions regarding purchases. On the other …

A systematic literature review and meta-analysis of studies on online fake news detection

RC Thompson, S Joseph, TT Adeliyi - Information, 2022 - mdpi.com
The ubiquitous access and exponential growth of information available on social media
networks have facilitated the spread of fake news, complicating the task of distinguishing …

Fake news detection system using featured-based optimized msvm classification

R Katarya, D Dahiya, S Checker - IEEE Access, 2022 - ieeexplore.ieee.org
Fake News creates erroneous suspense information that can be identified. This spreads
dishonesty about a country's status or overstates the expense of special functions for a …

Etma: Efficient transformer-based multilevel attention framework for multimodal fake news detection

A Yadav, S Gaba, H Khan, I Budhiraja… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this new digital era, social media has created a severe impact on the lives of people. In
recent times, fake news content on social media has become one of the major challenging …

Enhanced multimodal fake news detection with optimal feature fusion and modified bi-lstm architecture

V Kishore, M Kumar - Cybernetics and systems, 2023 - Taylor & Francis
Numerous enhancements have been made to the mobile internet, which leads to an
increase the people's attention to posting more multi-modal posts among the social media …

Advancements in rumor detection research based on bibliometrics and S-curve technology evolution theory

J Zhao, H Liu, S Zhang, Y Qi, H Dong, X Zhang… - Sage …, 2023 - journals.sagepub.com
With the rapid development of social media, new opportunities have been provided for the
generation and dissemination of online rumors, making systematic study of rumor detection …

Content-based fake news detection using deep learning techniques: Analysis, challenges and possible solutions

S Hangloo, B Arora - 2022 Fifth International Conference on …, 2022 - ieeexplore.ieee.org
Since the past decade, social media platforms are used widely for sharing information which
may or may not be credible. Due to this many incidents have occurred that show how false …