CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain

M Bayer, P Kuehn, R Shanehsaz… - ACM Transactions on …, 2024 - dl.acm.org
The field of cysec is evolving fast. Security professionals are in need of intelligence on past,
current and—ideally—upcoming threats, because attacks are becoming more advanced and …

BBC-FND: An ensemble of deep learning framework for textual fake news detection

B Palani, S Elango - Computers and Electrical Engineering, 2023 - Elsevier
A wide spread of false news over Online Social Network platforms (OSNs) causes numerous
negative consequences. Several researchers proposed different models using machine …

[HTML][HTML] HyproBert: a fake news detection model based on deep hypercontext

MI Nadeem, SAH Mohsan, K Ahmed, D Li, Z Zheng… - Symmetry, 2023 - mdpi.com
News media agencies are known to publish misinformation, disinformation, and propaganda
for the sake of money, higher news propagation, political influence, or other unfair reasons …

[PDF][PDF] Fake News Encoder Classifier (FNEC) for Online Published News Related to COVID-19 Vaccines.

A Qaiser, S Hina, AK Kazi, S Ahmed… - Intelligent Automation & …, 2023 - cdn.techscience.cn
In the past few years, social media and online news platforms have played an essential role
in distributing news content rapidly. Consequently. verification of the authenticity of news …

Identification of fake news using deep neural network-based hybrid model

S Gupta, B Verma, P Gupta, L Goel, AK Yadav… - SN Computer …, 2023 - Springer
The current era of social digitization and exponential growth of social media decreases the
distance between people to connect with each other. Due to increasing the massive …

[PDF][PDF] Explainable Artificial Intelligence and Natural Language Processing for Unraveling Deceptive Contents

N Pospelova, A Tarasova, N Subbotina… - Fusion: Practice and …, 2024 - kpfu.ru
Deceptive content recognition in social media employing artificial intelligence (AI) includes
the use of sophisticated techniques and machine learning (ML) methods to recognize …

Social Media News Classification Using Machine Learning Algorithms

M Jagadeesan, TM Saravanan… - 2023 International …, 2023 - ieeexplore.ieee.org
Every day, a great amount of data is generated online in the age of technology. However, an
unprecedented amount of material is being disseminated online, most of it false news. Fake …

Information diffusion prediction based on cascade sequences and social topology

Z Jinghua, Z Jiale, F Juan - Computers and Electrical Engineering, 2023 - Elsevier
People have been increasingly sharing information via social media platforms such as
Twitter and Facebook in recent years, making understanding and predicting the spread of …

Fake News Detection and Machine Learning, Ethical Issues: A systematic Literature Review

C Adair-Hinojosa, I Alsmadi - Ethical Issues: A systematic Literature …, 2022 - papers.ssrn.com
The spread of misinformation in the Internet and Online Social Networks (OSNs) have
significant impacts on humans worldwide. The detection and prevention of misinformation is …

Adaptive weighted feature fusion for multiscale atrous convolution‐based 1DCNN with dilated LSTM‐aided fake news detection using regional language text …

V Rathinapriya, J Kalaivani - Expert Systems - Wiley Online Library
The people in the world rely on social media for gathering news, and it is mainly because of
the development of technology. The approaches employed in natural language processing …