A systematic literature review and meta-analysis of studies on online fake news detection
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 …
networks have facilitated the spread of fake news, complicating the task of distinguishing …
The detection of fake news in arabic tweets using deep learning
Fake news has been around for a long time, but the rise of social networking applications
over recent years has rapidly increased the growth of fake news among individuals. The …
over recent years has rapidly increased the growth of fake news among individuals. The …
Artificial neural networks for the prediction of monkeypox outbreak
While the world is still struggling to recover from the harm caused by the widespread COVID-
19 pandemic, the monkeypox virus now poses a new threat of becoming a pandemic …
19 pandemic, the monkeypox virus now poses a new threat of becoming a pandemic …
Multimodal Arabic rumors detection
Recently, the use of social media platforms has increased with ease of use and fast
accessibility, making such platforms a place of rumor proliferation owing to the lack of …
accessibility, making such platforms a place of rumor proliferation owing to the lack of …
Detecting suicidality in Arabic Tweets using machine learning and deep learning techniques
Social media platforms have revolutionized traditional communication techniques by
allowing people to connect instantaneously, openly, and frequently. As people use social …
allowing people to connect instantaneously, openly, and frequently. As people use social …
[HTML][HTML] FMC: Multimodal fake news detection based on multi-granularity feature fusion and contrastive learning
F Yan, M Zhang, B Wei, K Ren, W Jiang - Alexandria Engineering Journal, 2024 - Elsevier
The automatic detection of multimodal fake news has recently garnered significant attention.
However, the existing detection methods mainly focus on merging textual and visual …
However, the existing detection methods mainly focus on merging textual and visual …
Arabic rumor detection using contextual deep bidirectional language modeling
In today's world, news outlets have changed dramatically; newspapers are obsolete, and
radio is no longer in the picture. People look for news online and on social media, such as …
radio is no longer in the picture. People look for news online and on social media, such as …
A Deep Learning System for Detecting Cardiomegaly Disease Based on CXR Image
The potential of technology to revolutionize healthcare is exemplified by the synergy
between artificial intelligence (AI) and early detection of cardiomegaly, demonstrating the …
between artificial intelligence (AI) and early detection of cardiomegaly, demonstrating the …
Arabic fake news detection using deep learning
In recent years, the explosive growth of social media platforms has led to the rapid spread of
vast amounts of false news and rumors on the internet. This disrupts various news sources …
vast amounts of false news and rumors on the internet. This disrupts various news sources …
Combating Fake News on Social Media: A Fusion Approach for Improved Detection and Interpretability
The proliferation of fake news on social media prompted research groups to develop
statistical and learning methods to combat this menace. Deep learning techniques could not …
statistical and learning methods to combat this menace. Deep learning techniques could not …