Fake news in business and management literature: a systematic review of definitions, theories, methods and implications

B Farhoudinia, S Ozturkcan, N Kasap - Aslib Journal of Information …, 2023 - emerald.com
Purpose This paper aims to conduct an interdisciplinary systematic literature review (SLR) of
fake news research and to advance the socio-technical understanding of digital information …

The detection of fake news in arabic tweets using deep learning

S Alyoubi, M Kalkatawi, F Abukhodair - Applied Sciences, 2023 - mdpi.com
Fake news has been around for a long time, but the rise of social networking applications
over recent years has rapidly increased the growth of fake news among individuals. The …

Word Sense Disambiguation for Morphologically Rich Low-Resourced Languages: A Systematic Literature Review and Meta-Analysis.

HD Masethe, MA Masethe, SO Ojo… - Information (2078 …, 2024 - search.ebscohost.com
In natural language processing, word sense disambiguation (WSD) continues to be a major
difficulty, especially for low-resource languages where linguistic variation and a lack of data …

Ensemble machine learning approaches for fake news classification

H Padalko, V Chomko, S Yakovlev… - … and Computer Systems, 2023 - nti.khai.edu
In today's interconnected digital landscape, the proliferation of fake news has become a
significant challenge, with far-reaching implications for individuals, institutions, and …

[HTML][HTML] Context-Aware Embedding Techniques for Addressing Meaning Conflation Deficiency in Morphologically Rich Languages Word Embedding: A Systematic …

MA Masethe, HD Masethe, SO Ojo - Computers, 2024 - mdpi.com
This systematic literature review aims to evaluate and synthesize the effectiveness of various
embedding techniques—word embeddings, contextual word embeddings, and context …

Intervention strategies for misinformation sharing on social media: A bibliometric analysis

J Zainudin, NM Ali, AF Sematon, MT Ijab - IEEE Access, 2024 - ieeexplore.ieee.org
Widely distributed misinformation shared across social media channels is a pressing issue
that poses a significant threat to many aspects of society's well-being. Inaccurate shared …

Machine learning vs deep learning models for detecting fake news: A comparative analysis on fake-newsnet dataset

AKR Nadikattu - Available at SSRN 4382241, 2023 - papers.ssrn.com
The proliferation of fake news through social media has emerged as one of the most
pressing challenges of the twenty-first century. This paper presents a machine-learning …

Fake News in Developing Countries: Drivers, Mechanisms and Consequences

VM Masavah, M Turpin - … Conference on Implications of Information and …, 2024 - Springer
Fake news has become a global problem. Drivers in the spread of fake news include the
growth of the world wide web and the growth in the use of smartphones and social media. In …

Automatic Detection of Multilingual Misogynistic Content in Social Media Data Based on Machine Learning Approach

PD Kaware, AB Raut - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Global communication has changed due to social media's rapid ascent. Because social
media is a global stage where people from all walks of life may communicate in their own …

Social Media Fake News Detection Using Machine Learning

VS Gautam, S Katiyar, K Sharma… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Nowadays it has become very difficult to tell the legitimacy of news on social media news
blogs and online newspaper. Hence there is a need of tools that can check these sources to …