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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM19202

Detection of Fake and Real News

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM19202

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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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

GR

Gunji Rajesh

VJ

Vishal Javvaji

AG

Aashritha Gudepu

HU

Haneesha Uddaraju

DP

Dr.Padamaja Pulicherla

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Abstract

In this Project, we propose a fake news detection framework that can address the safe and beneficial results on real-world data show that our model can detect fake news with higher accuracy within few minutes after it propagates than the baselines. Difference between the fake and real news is hard to find for normal human beings to solve these problems and identify fake news using data science and its methodology. Data science application is smart and very reliable for any task. Machine learning techniques are used to identify the difference between real and fake news

KEYWORDS

Machine learning Methodology Framework Data Science

Cite This Article

Gunji Rajesh, Vishal Javvaji, Aashritha Gudepu, Haneesha Uddaraju, Dr.Padamaja Pulicherla, "Detection of Fake and Real News," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM19202

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Publication Date

4/19/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

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

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