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 …

AI-assisted deep NLP-based approach for prediction of fake news from social media users

GG Devarajan, SM Nagarajan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Social networking websites are now considered to be the best platforms for the
dissemination of news articles. However, information sharing in social media platforms leads …

Advancing fake news detection: hybrid deep learning with fasttext and explainable AI

E Hashmi, SY Yayilgan, MM Yamin, S Ali… - IEEE …, 2024 - ieeexplore.ieee.org
The widespread propagation of misinformation on social media platforms poses a significant
concern, prompting substantial endeavors within the research community to develop robust …

Systemization of Knowledge (SoK): Creating a Research Agenda for Human-Centered Real-Time Risk Detection on Social Media Platforms

A Alsoubai, J Park, S Qadir, G Stringhini… - Proceedings of the CHI …, 2024 - dl.acm.org
Accurate real-time risk identification is vital to protecting social media users from online
harm, which has driven research towards advancements in machine learning (ML). While …

Deep vs. shallow: a comparative study of machine learning and deep learning approaches for fake health news detection

T Mahara, VLH Josephine, R Srinivasan… - IEEE …, 2023 - ieeexplore.ieee.org
Internet explosion and penetration have amplified the fake news problem that existed even
before Internet penetration. This becomes more of a concern, if the news is health-related …

Web-informed-augmented fake news detection model using stacked layers of convolutional neural network and deep autoencoder

AM Ali, FA Ghaleb, MS Mohammed, FJ Alsolami… - Mathematics, 2023 - mdpi.com
Today, fake news is a growing concern due to its devastating impacts on communities. The
rise of social media, which many users consider the main source of news, has exacerbated …

A novel hybrid approach for text encoding: Cognitive attention to syntax model to detect online misinformation

G Faye, W Ouerdane, G Gadek, S Gahbiche… - Data & Knowledge …, 2023 - Elsevier
Most approaches for text encoding rely on the attention mechanism, at the core of the
transformers architecture and large language models. The understanding of this mechanism …

DeepFake Videos Detection Using Crowd Computing

Y Salini, J HariKiran - International Journal of Information Technology, 2023 - Springer
In recent times, the widespread dissemination of misinformation through realistic artificially
generated images and deep faked videos has become a common issue, particularly …

A human-centered approach to improving adolescent real-time online risk detection algorithms

A Alsoubai - Extended Abstracts of the 2023 CHI Conference on …, 2023 - dl.acm.org
Computational approaches to detect the online risks that the youth encounter have
presented promising potentials to protect them online. However, a major identified trend …

Using Epidemiological Models to Predict the Spread of Information on Twitter

M Castiello, D Conte, S Iscaro - Algorithms, 2023 - mdpi.com
In this article, we analyze the spread of information on social media (Twitter) and purpose a
strategy based on epidemiological models. It is well known that social media represent a …