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 …

A scoping review of the relationship of big data analytics with context-based fake news detection on digital media in data age

K Shahzad, SA Khan, S Ahmad, A Iqbal - Sustainability, 2022 - mdpi.com
The objectives of the study were to identify the relationship between big data analytics with
context-based news detection on digital media in the data age, to find out the trending …

Linguistic features based framework for automatic fake news detection

S Garg, DK Sharma - Computers & Industrial Engineering, 2022 - Elsevier
Social media platforms now a day are mainly used for news consumption among users.
Political groups use social media platforms to attract users by enclosing users' votes in their …

An image and text-based multimodal model for detecting fake news in OSN's

SK Uppada, P Patel - Journal of Intelligent Information Systems, 2023 - Springer
Abstract Digital Mass Media has become the new paradigm of communication that revolves
around online social networks. The increase in the utilization of online social networks …

Multilingual deep learning framework for fake news detection using capsule neural network

R Mohawesh, S Maqsood, Q Althebyan - Journal of Intelligent Information …, 2023 - Springer
Fake news detection is an essential task; however, the complexity of several languages
makes fake news detection challenging. It requires drawing many conclusions about the …

Deep Dive into Fake News Detection: Feature-Centric Classification with Ensemble and Deep Learning Methods

FK Alarfaj, JA Khan - Algorithms, 2023 - mdpi.com
The online spread of fake news on various platforms has emerged as a significant concern,
posing threats to public opinion, political stability, and the dissemination of reliable …

Constructing a User-Centered Fake News Detection Model by Using Classification Algorithms in Machine Learning Techniques (Jan 2023)

M Park, S Chai - IEEE Access, 2023 - ieeexplore.ieee.org
As fake news spreads rapidly in social media, attempts to develop detection technology to
automatically identify fake news are actively being developed, recently. However, most of …

Towards a soft three-level voting model (Soft T-LVM) for fake news detection

B Jlifi, C Sakrani, C Duvallet - Journal of Intelligent Information Systems, 2023 - Springer
Fake news has a worldwide impact and the potential to change political scenarios and
human behavior, especially in a critical time like the COVID-19 pandemic. This work …

Evaluating text classification: A benchmark study

M Reusens, A Stevens, J Tonglet, J De Smedt… - Expert Systems with …, 2024 - Elsevier
This paper presents an impartial and extensive benchmark for text classification involving
five different text classification tasks, 20 datasets, 11 different model architectures, and …

A systematic literature review and meta-analysis of studies on online fake news detection

RC Thompson, S Joseph, TT Adeliyi - Information, 2022 - mdpi.com
The ubiquitous access and exponential growth of information available on social media
networks have facilitated the spread of fake news, complicating the task of distinguishing …