[HTML][HTML] 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 …

[HTML][HTML] Machine learning-aided modeling for predicting freshwater production of a membrane desalination system: A long-short-term memory coupled with election …

M Abd Elaziz, ME Zayed, H Abdelfattah… - Alexandria Engineering …, 2024 - Elsevier
Membrane desalination (MD) is an efficient process for desalinating saltwater, combining
the uniqueness of both thermal and separation distillation configurations. In this context, the …

[HTML][HTML] Experimental investigation and machine learning modeling using LSTM and special relativity search of friction stir processed AA2024/Al2O3 nanocomposites

F Djouider, M Abd Elaziz, A Alhawsawi… - Journal of Materials …, 2023 - Elsevier
In this study, the friction stir technique is proposed to process aluminum nanocomposites
reinforced with alumina nanoparticles. The effects of different processing parameters …

Fake news detection in Dravidian languages using multiscale residual CNN_BiLSTM hybrid model

E Raja, B Soni, SK Borgohain - Expert Systems with Applications, 2024 - Elsevier
Fake news detection is the process of identifying news that contain purposeful
misinformation disseminated through traditional news sources or social media platforms …

RETRACTED ARTICLE: Optimizing government resource allocation in public sectors: investigating intelligent urban systems for effective crisis management

Y Xu, LJ Zheng, W Liu - Annals of Operations Research, 2024 - Springer
This paper draws upon a theoretical framework for resource allocation to examine the
differences in resource allocation capabilities of city governments that result from harnessing …

[HTML][HTML] A hybrid machine learning model for sentiment analysis and satisfaction assessment with Turkish universities using Twitter data

AB Alawi, F Bozkurt - Decision Analytics Journal, 2024 - Elsevier
Social media platforms, such as X (Twitter), contain enormous amounts of data, and
collecting valuable information from that data assists in making more informed decisions. In …

[HTML][HTML] Multimodal fake news detection through intra-modality feature aggregation and inter-modality semantic fusion

P Zhu, J Hua, K Tang, J Tian, J Xu, X Cui - Complex & Intelligent Systems, 2024 - Springer
The prevalence of online misinformation, termed “fake news”, has exponentially escalated in
recent years. These deceptive information, often rich with multimodal content, can easily …

[引用][C] The Power of Context: A Novel Hybrid Context-Aware Fake News Detection Approach

J Alghamdi, Y Lin, S Luo - Information, 2024 - MDPI
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