Operating machine learning across natural language processing techniques for improvement of fabricated news model

K Sharifani, M Amini, Y Akbari… - … Journal of Science …, 2022 - papers.ssrn.com
Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …

AugFake-BERT: handling imbalance through augmentation of fake news using BERT to enhance the performance of fake news classification

AJ Keya, MAH Wadud, MF Mridha, M Alatiyyah… - Applied Sciences, 2022 - mdpi.com
Fake news detection techniques are a topic of interest due to the vast abundance of fake
news data accessible via social media. The present fake news detection system performs …

A survey on rumor detection and prevention in social media using deep learning

B Pattanaik, S Mandal, RM Tripathy - Knowledge and Information Systems, 2023 - Springer
In the current digital era, massive amounts of unreliable, purposefully misleading material,
such as texts and images, are being shared widely on various web platforms to deceive the …

Bio-Inspired Artificial Intelligence with Natural Language Processing Based on Deceptive Content Detection in Social Networking

AA Albraikan, M Maray, FA Alotaibi, MM Alnfiai… - Biomimetics, 2023 - mdpi.com
In recent research, fake news detection in social networking using Machine Learning (ML)
and Deep Learning (DL) models has gained immense attention. The current research article …

Exploring the evolutionary game of rumor control based on prospect theory

J Zhao, T Lan, H Rong, S Liu - Neural Computing and Applications, 2023 - Springer
The increased volume of rumors and attention on related topics during the COVID-19
pandemic have had a significant negative social impact. To combat rumors, it is crucial to …

Deep learning-based credibility conversation detection approaches from social network

I Fadhli, L Hlaoua, MN Omri - Social Network Analysis and Mining, 2023 - Springer
In recent years, the social networks that have become most exploited sources of information,
such as Facebook, Instagram, LinkedIn, and Twitter, have been considered the main …

Arabic sentiment analysis and sarcasm detection using probabilistic projections-based variational switch transformer

SMAH Shah, SFH Shah, A Ullah, A Rizwan… - IEEE …, 2023 - ieeexplore.ieee.org
Text classification is a common task in natural language processing (NLP), where the
objective is to assign predefined categories or labels to a given text. Detecting sarcasm and …

Advancements in rumor detection research based on bibliometrics and S-curve technology evolution theory

J Zhao, H Liu, S Zhang, Y Qi, H Dong, X Zhang… - Sage …, 2023 - journals.sagepub.com
With the rapid development of social media, new opportunities have been provided for the
generation and dissemination of online rumors, making systematic study of rumor detection …

A healthcare paradigm for deriving knowledge using online consumers' feedback

A Nawaz, Y Abbas, T Ahmad, NF Mahmoud, A Rizwan… - Healthcare, 2022 - mdpi.com
Home healthcare agencies (HHCAs) provide clinical care and rehabilitation services to
patients in their own homes. The organization's rules regulate several connected …

Natural Language Processing: Recent Development and Applications

KH Chang - Applied Sciences, 2023 - mdpi.com
Natural Language Processing (NLP) can be categorized into the subfields of artificial
intelligence (AI) and linguistics. NLP mainly explores how to make machines understand …