International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
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Volume-12,Issue-1  ( May, 2024 )
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Jun. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 22
Paper Published : 242
No. of Authors : 695
  Journal Paper

Paper Title :
Fake News Detection using Machine Learning Algorithms

Author :Naresh Singh, Suraj Dhoundiyal, Gunjan Kardam, Bharti

Article Citation :Naresh Singh ,Suraj Dhoundiyal ,Gunjan Kardam ,Bharti , (2023 ) " Fake News Detection using Machine Learning Algorithms " , International Journal of Soft Computing And Artificial Intelligence (IJSCAI) , pp. 8-13, Volume-11,Issue-1

Abstract : Earlier when there was no internet then life was not that easy for every human being. Every small work requires a lot of bookish research which people can use further in their works but now as technology has evolved people can get every piece of information in just a single click from their computer or mobile phone. In this new era when technology has evolved that much then definitely there would be some people or organizations who can misuse the technology. Nowadays one of the biggest misuse of technology is the spreading of fraudulent content on the internet or some other platforms by some people or organizations for the sake of their benefits and some political agenda which may benefit them but can sometimes create chaos among normal people. To stop the spreading of fake news there isa need to target those articles present onthe internet and remove them. In this research, an ML model is trained which can detect fraud news and further actions can be taken on the news. Various ML models are used in this research and maximum accuracy of 95% is achieved by using Logistic Regression. Keyword - Machine Learning, Fake News, models.

Type : Research paper

Published : Volume-11,Issue-1


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