Probability Calibration Using Platt Scaling in SVM Based Fake News Detectors

Author(s)	Ms. Aditi Ganapati Karki, Prof. Dr. Yatu Rani, Prof. Dimpy Parashar
Country	India
Abstract	Abstract—The rapid growth of unverified digital media has made fake news a growing concern in recent years. As content spreads quickly through social media and digital platforms, distinguishing between reliable and misleading information has become increasingly difficult. This not only defeats the purpose of core journalism but also has broader societal consequences. A confidence estimation mechanism is incorporated using the SVM classifier to display the certainty of each prediction. This feature is enabled so that a confidence score is provided alongside the classification result, improving the reliability of the model’s decisions that refine the digital medium. These findings suggest that even simple ensemble techniques can provide meaningful improvements, particularly in settings where data and resources are limited.
Keywords	Digital Media, Fake News, Platt Scaling, Classifier
Field	Computer > Data / Information
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-07
DOI	https://doi.org/10.36948/ijfmr.2026.v08i03.76619

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