Optimization of fake news detection models using advanced machine learning techniques
*Ashish R SavaliyaCorresponding authorsavaliyaashish.21.rs@indusuni.ac.inDepartment of Computer Science and EngineeringIndus UniversityAhmedabad, Gujarat, 382115, IndiaView full profile → , Amrita Sharmaamritasharma.dcs@indusuni.ac.inDepartment of Computer Science and EngineeringIndus UniversityAhmedabad, Gujarat, 382115, IndiaView full profile → , Monika Aroramonika.arora@mirandahouse.ac.inDepartment of MathematicsMiranda HouseUniversity of DelhiDelhi, 110007, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Apr 2025
- Published Online:
- 31 Jul 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-2199
- Pages:
- 2659–2665
Abstract
The reality that social media, blogs, and websites can be utilized by anybody makes a part of issues. Fake news can be a huge issue that can hurt individuals or indeed make struggle between nations. Spread online, deceiving individuals into tolerating something that isn’t genuine. It can be unsafe since it can impact what individuals think and do based on wrong data that spreads all over. That’s why it’s imperative to oversee and control social media. Computer programs that learn can distinguish wrong data. This article proposes organizing a way to discover fake news by analyzing particular parts of the news. The unused innovation can tell the contrast between fake news and genuine news. Lemmatization is the meth-od of finding the fundamental frame of a word employing a reference direct. We found a few imperative focuses by utilizing two distinctive strategies. Take out the rehashed words and the strategy utilized to discover out how vital they are. Vector calculation implies figuring out the comes about of including, subtracting or increasing vectors. We utilized three bunches of information. Accessible online: Fake-or-Real-News, Media-Eval, and ISOT. We utilized eleven diverse ways to total the assignment. The current framework: exactness, the zone under-neath accuracy, assessment, and F1 score. We arrange to progress precision for the Fake-or-Real dataset.
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References
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