Findings of factify 2: multimodal fake news detection

S Suryavardan, S Mishra, M Chakraborty… - arXiv preprint arXiv …, 2023 - arxiv.org
With social media usage growing exponentially in the past few years, fake news has also
become extremely prevalent. The detrimental impact of fake news emphasizes the need for …

Holochain: An agent-centric distributed hash table security in smart iot applications

S Gaba, H Khan, KJ Almalki, A Jabbari… - IEEE …, 2023 - ieeexplore.ieee.org
The accomplishment of blockchain has increased the focus on the various applications for
simplifying the confidentiality and transaction sanctuary using the decentralized architecture …

A systematic analysis of deep learning methods and potential attacks in internet-of-things surfaces

A Barnawi, S Gaba, A Alphy, A Jabbari… - Neural Computing and …, 2023 - Springer
The usage of intelligent IoT devices is exponentially rising, and so the possibility of attacks in
the IoT surfaces. The deep leaning algorithms are competent for directing the sanctuary …

Transformer-based models for combating rumours on microblogging platforms: a review

R Anggrainingsih, GM Hassan, A Datta - Artificial Intelligence Review, 2024 - Springer
The remarkable success of Transformer-based embeddings in natural language tasks has
sparked interest among researchers in applying them to classify rumours on social media …

The largest social media ground-truth dataset for real/fake content: Truthseeker

S Dadkhah, X Zhang, AG Weismann… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Automatic detection of fake content in social media such as Twitter is an enduring challenge.
Technically, determining fake news on social media platforms is a straightforward binary …

[PDF][PDF] An improved fake news detection model using hybrid time frequency-inverse document frequency for feature extraction and adaboost ensemble model as a …

L Holla, KS Kavitha - Journal of Advances in Information Technology, 2024 - jait.us
Fake news information on the internet has recently emerged as one of the challenging
concerns that can have an impact on society and individuals. Furthermore, the propagation …

Performance analysis of semantic veracity enhance (SVE) classifier for fake news detection and demystifying the online user behaviour in social media using …

MR Sethurajan, K Natarajan - Social Network Analysis and Mining, 2024 - Springer
The increased propagation of fake news is the significant concern in the digital era.
Identification of fake news from social media platforms is critical to strengthen public trust …

[PDF][PDF] Advancements in enhancing cyber-physical system security: Practical deep learning solutions for network traffic classification and integration with security …

S Gaba, I Budhiraja, V Kumar… - Mathematical Biosciences …, 2024 - aimspress.com
Traditional network analysis frequently relied on manual examination or predefined patterns
for the detection of system intrusions. As soon as there was increase in the evolution of the …

AI for Tourism: Pioneering New Frontiers in the Industry

M Sehgal, A Arya, S Gaba… - 2024 International …, 2024 - ieeexplore.ieee.org
The conversational agents or chatbots have become a part of our everyday life and are
designed to make our life easier. Recent advancements in natural language processing and …

Emotion-Aware Fake News Detection on Social Media with BERT Embeddings

M Al-Alshaqi, DB Rawat, C Liu - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Fake news dissemination on social media poses a significant threat to the integrity of
information and public discourse. This research proposes an emotion-aware fake news …