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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM21534

SYSTEM FOR DETECTING FAKE NEWS USING MACHINE LEARNING

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM21534

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

U

U.Gomathi

S

S.Aakash

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Abstract

Everyone now relies on many online news sources since the internet is so widely used. News disseminated across millions of users in a very short period of time along with the growth in the usage of quickly social media platforms like Facebook, Twitter, etc. The dissemination of false news has far -reaching effects, including the formation of skewed beliefs and the manipulation of election results in favour of particular politicians. Moreover, spammers exploit alluring news headlines to lure readers into clicking on their ads. Using the use of AI and machine learning ideas, the goal of this work is to apply the J48 classification algorithm to a variety of online news items. The user will be able to determine if the news is legitimate or fraudulent, and we’ll also examine the reliability of the website that is disseminating it.

KEYWORDS

Social networking sites the internet and categorization algorithms are all commonplace.

Cite This Article

U.Gomathi, S.Aakash, "SYSTEM FOR DETECTING FAKE NEWS USING MACHINE LEARNING," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023.

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Publication Date

5/22/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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1

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

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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