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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48962

Real Time Fake News Detection System Using Multinominal Naïve Baiyes

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48962

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48962

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

APP1

Arpita Prakash Patil 1

VJP2

Vaishnavi Jitendra Patil 2

NSP3

Nikhil Sharad Patil 3

PAP4.MK

Prasad Ashok Patil 4Mr.Liladhar . M. Kuwar.

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Abstract

Fake news has become a significant challenge in the digital age, spreading misinformation that impacts society. A Fake News Detection System aims to identify and prevent the spread of false or misleading content by analyzing news articles, social media posts, and other online information the system is designed to be fast, accurate, and secure, ensuring user privacy and compliance with data protection laws. It also learns and improves over time using new data and user feedback. By providing real-time detection and insights, the system helps individuals, organizations, and platforms combat misinformation effectively and promotes the sharing of truthful information.

KEYWORDS

—Detect Fake or real News Python Django Naïve Bayes Algorithm.

Cite This Article

Arpita Prakash Patil 1, Vaishnavi Jitendra Patil 2, Nikhil Sharad Patil 3, Prasad Ashok Patil 4Mr.Liladhar . M. Kuwar., "Real Time Fake News Detection System Using Multinominal Naïve Baiyes," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48962

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Publication Date

5/28/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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