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 novel fake news detection model for context of mixed languages through multiscale transformer

Z Guo, Q Zhang, F Ding, X Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Fake news detection has been a more urgent technical demand for operators of online
social platforms, and the prevalence of deep learning well boosts its development. From the …

Fake news detection using deep learning: A systematic literature review

MQ Alnabhan, P Branco - IEEE Access, 2024 - ieeexplore.ieee.org
Nowadays, we witness rapid technological advancements in online communication
platforms, with increasing volumes of people using a vast range of communication solutions …

It's all in the embedding! fake news detection using document embeddings

CO Truică, ES Apostol - Mathematics, 2023 - mdpi.com
With the current shift in the mass media landscape from journalistic rigor to social media,
personalized social media is becoming the new norm. Although the digitalization progress of …

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 …

The relationship of artificial intelligence (AI) with fake news detection (FND): a systematic literature review

A Iqbal, K Shahzad, SA Khan… - … Knowledge, Memory and …, 2023 - emerald.com
Purpose The purpose of this study is to identify the relationship between artificial intelligence
(AI) and fake news detection. It also intended to explore the negative effects of fake news on …

[PDF][PDF] Deep learning model based on ResNet-50 for beef quality classification

SE Abdallah, WM Elmessery, MY Shams… - Inf. Sci …, 2023 - digitalcommons.aaru.edu.jo
Food quality measurement is one of the most essential topics in agriculture and industrial
fields. To classify healthy food using computer visual inspection, a new architecture was …

An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection

AA Abd El-Mageed, AA Abohany, AH Ali, KM Hosny - Journal of Big Data, 2024 - Springer
Online platforms and social networking have increased in the contemporary years. They are
now a major news source worldwide, leading to the online proliferation of Fake News (FNs) …

[PDF][PDF] An improved fake news detection model using hybrid time frequency-inverse document frequency for feature extraction and adaboost ensemble model as a …

L Holla, KS Kavitha - Journal of Advances in Information Technology, 2024 - jait.us
Fake news information on the internet has recently emerged as one of the challenging
concerns that can have an impact on society and individuals. Furthermore, the propagation …

Estimation of coconut maturity based on fuzzy neural network and sperm whale optimization

E El-Shafeiy, AA Abohany, WM Elmessery… - Neural Computing and …, 2023 - Springer
Coconut water is the clear liquid found inside coconuts, famous for rehydrating after exercise
or while suffering from a minor sickness. The essential issue tackled in this paper is how to …