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 …

Fake news detection: A survey of graph neural network methods

HT Phan, NT Nguyen, D Hwang - Applied Soft Computing, 2023 - Elsevier
The emergence of various social networks has generated vast volumes of data. Efficient
methods for capturing, distinguishing, and filtering real and fake news are becoming …

[HTML][HTML] Towards COVID-19 fake news detection using transformer-based models

J Alghamdi, Y Lin, S Luo - Knowledge-Based Systems, 2023 - Elsevier
The COVID-19 pandemic has resulted in a surge of fake news, creating public health risks.
However, develo** an effective way to detect such news is challenging, especially when …

A comparative study of machine learning and deep learning techniques for fake news detection

J Alghamdi, Y Lin, S Luo - Information, 2022 - mdpi.com
Efforts have been dedicated by researchers in the field of natural language processing
(NLP) to detecting and combating fake news using an assortment of machine learning (ML) …

A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities

S Tufchi, A Yadav, T Ahmed - International Journal of Multimedia …, 2023 - Springer
The escalating prevalence of disinformation, or “fake news,” on social media platforms
represents a growing societal concern with far-reaching implications. Its ubiquitous …

A comprehensive survey on machine learning approaches for fake news detection

J Alghamdi, S Luo, Y Lin - Multimedia Tools and Applications, 2024 - Springer
The proliferation of fake news on social media platforms poses significant challenges to
society and individuals, leading to negative impacts. As the tactics employed by purveyors of …

[HTML][HTML] Deep ensemble fake news detection model using sequential deep learning technique

AM Ali, FA Ghaleb, BAS Al-Rimy, FJ Alsolami, AI Khan - Sensors, 2022 - mdpi.com
Recently, fake news has been widely spread through the Internet due to the increased use
of social media for communication. Fake news has become a significant concern due to its …

Evidence-driven retrieval augmented response generation for online misinformation

Z Yue, H Zeng, Y Lu, L Shang, Y Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
The proliferation of online misinformation has posed significant threats to public interest.
While numerous online users actively participate in the combat against misinformation …

MetaAdapt: Domain adaptive few-shot misinformation detection via meta learning

Z Yue, H Zeng, Y Zhang, L Shang, D Wang - arxiv preprint arxiv …, 2023 - arxiv.org
With emerging topics (eg, COVID-19) on social media as a source for the spreading
misinformation, overcoming the distributional shifts between the original training domain (ie …

[HTML][HTML] SSM: Stylometric and semantic similarity oriented multimodal fake news detection

MI Nadeem, K Ahmed, Z Zheng, D Li, M Assam… - Journal of King Saud …, 2023 - Elsevier
Over the years, there has been a rise in the number of fabricated and fake news stories that
utilize both textual and visual information formats. This coincides with the increased …