A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities
The escalating prevalence of disinformation, or “fake news,” on social media platforms
represents a growing societal concern with far-reaching implications. Its ubiquitous …
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 …
dissemination of news articles. However, information sharing in social media platforms leads …
Advancing fake news detection: hybrid deep learning with fasttext and explainable AI
The widespread propagation of misinformation on social media platforms poses a significant
concern, prompting substantial endeavors within the research community to develop robust …
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
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
strategy based on epidemiological models. It is well known that social media represent a …