Detecting fake news for COVID-19 using deep learning: a review

H Zaheer, M Bashir - Multimedia Tools and Applications, 2024 - Springer
The December of 2019, marked the start of one of the biggest pandemics that the human
race had seen for some centuries. COVID-19 after originating from China was in full force …

[HTML][HTML] Cluster-based knowledge graph and entity-relation representation on tourism economical sentiments

RK Mishra, H Raj, S Urolagin, JAA Jothi, N Nawaz - Applied Sciences, 2022 - mdpi.com
The tourism industry has experienced fast and sustainable growth over the years in the
economic sector. The data available online on the ever-growing tourism sector must be …

[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 …

[HTML][HTML] TwIdw—A Novel Method for Feature Extraction from Unstructured Texts

K Szabó Nagy, J Kapusta - Applied Sciences, 2023 - mdpi.com
Featured Application The research has a potential application in the field of fake news
detection. By using the feature extraction technique, TwIdw, proposed in this paper, more …

[HTML][HTML] Nowcasting unemployment rate during the COVID-19 pandemic using Twitter data: the case of South Africa

ZM Nia, A Asgary, N Bragazzi, B Mellado… - Frontiers in Public …, 2022 - frontiersin.org
The global economy has been hard hit by the COVID-19 pandemic. Many countries are
experiencing a severe and destructive recession. A significant number of firms and …

A metaheuristic based filter-wrapper approach to feature selection for fake news detection

H Zaheer, SU Rehman, M Bashir, MA Ahmad… - Multimedia Tools and …, 2024 - Springer
Due to ease of dissemination, humankind is facing an “infodemic” that has spread through
electronic and social media. Therefore, there is a need to combat fake news using text …

Addressing class imbalance in fake news detection with latent space resampling

S Bhattacharjee, S Maity, S Chatterjee - International Conference on …, 2022 - Springer
The detection of fake news has become crucial with the popularity of social media as a
primary medium of news consumption. However, real-world fake news datasets often suffer …

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 …