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Author

Nikita Garg

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Open access Aug 2026

Enhancing Feature Selection for Fake News Detection Using A Hybrid Genetic Algorithm and Particle Swarm Optimization Approach

Fake news has emerged as a major concern in today’s digital era, spreading rapidly and influencing various aspects of society, including mental well-being and public opinion. This study focuses on addressing this issue by proposing an effective framework for detecting fake news. The research utilizes the FakeNewsNet da...

Nikita Garg, Pritam Singh Negib, Nischay Garg · 0 citations
Open access Aug 2026

A Comparative Analysis of Evolutionary Metaheuristics: Genetic Algorithm vs. Particle Swarm Optimization for Feature Selection in High-Accuracy Fake News Detection

A detailed comparative experimental study of two prominent bio-inspired evolutionary metaheuristics, the Genetic Algorithm and Particle Swarm Optimisation used as wrapper-based FS techniques for FND, confirms that evolutionary computation provides a robust, effective pathway for significantly enhancing ML classifier pe...

Nikita Garg, Pritam Singh Negi · 0 citations
Open access Aug 2026

Multilingual Fake News Detection Using Machine Learning with Contextual-Based Feature Extraction

The proposed approach provides a simple and efficient solution for multilingual fake news detection in data-scarce environments with ensemble-based classifiers such as Random Forest and Gradient Boosting achieving reliable performance across both languages.

Nikita Garg, Pritam Singh Negi · 0 citations

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