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 …
authentic news, often to influence political views. Fabricated news articles are a threat to …
Content-based fake news detection with machine and deep learning: a systematic review
Fake news, which can be defined as intentionally and verifiably false news, has a strong
influence on critical aspects of our society. Manual fact-checking is a widely adopted …
influence on critical aspects of our society. Manual fact-checking is a widely adopted …
A taxonomy of fake news classification techniques: Survey and implementation aspects
In the present era, social media platforms such as Facebook, WhatsApp, Twitter, and
Telegram are significant sources of information distribution, and people believe it without …
Telegram are significant sources of information distribution, and people believe it without …
[HTML][HTML] A comparative study of machine learning and deep learning techniques for fake news detection
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) …
(NLP) to detecting and combating fake news using an assortment of machine learning (ML) …
[HTML][HTML] Application of the SOBC model to study customers' online purchase intentions in an emerging economy during COVID-19: does gender matter?
Purpose Online shopping around the world is growing exponentially, especially during the
COVID-19 pandemic. This study aims to examine how an online customer's purchasing …
COVID-19 pandemic. This study aims to examine how an online customer's purchasing …
A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities
The escalating prevalence of disinformation, or “fake news,” on social media platforms
represents a growing societal concern with far-reaching implications. Its ubiquitous …
represents a growing societal concern with far-reaching implications. Its ubiquitous …
[HTML][HTML] Applying Human-in-the-Loop to construct a dataset for determining content reliability to combat fake news
Annotated corpora are indispensable tools to train computational models in Natural
Language Processing. However, in the case of more complex semantic annotation …
Language Processing. However, in the case of more complex semantic annotation …
Machine learning techniques for renewable energy forecasting: A comprehensive review
R Gaamouche, M Chinnici, M Lahby… - … Techniques for Green …, 2022 - Springer
Over the past decade, renewable energy resources, such as wind, solar, biomass, ocean
energy and other kinds of energy, are becoming attractive technologies for building green …
energy and other kinds of energy, are becoming attractive technologies for building green …
Predicting non-violent work behaviour among employees using machine learning techniques
Purpose This study aims to develop a model to predict non-violent work behaviour (NVWB)
among employees using machine learning techniques. Design/methodology/approach Four …
among employees using machine learning techniques. Design/methodology/approach Four …
Identifying fake news in the russian-ukrainian conflict using machine learning
The widespread dissemination of false information made possible by social networks'
universal accessibility and ease of use may be harmful to both individuals and societies …
universal accessibility and ease of use may be harmful to both individuals and societies …