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Using Deep Learning to Avoid Fake News in Newspaper

by Sam M. K.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 30
Year of Publication: 2022
Authors: Sam M. K.
10.5120/ijca2022922369

Sam M. K. . Using Deep Learning to Avoid Fake News in Newspaper. International Journal of Computer Applications. 184, 30 ( Oct 2022), 39-44. DOI=10.5120/ijca2022922369

@article{ 10.5120/ijca2022922369,
author = { Sam M. K. },
title = { Using Deep Learning to Avoid Fake News in Newspaper },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2022 },
volume = { 184 },
number = { 30 },
month = { Oct },
year = { 2022 },
issn = { 0975-8887 },
pages = { 39-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number30/32507-2022922369/ },
doi = { 10.5120/ijca2022922369 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:22:49.852876+05:30
%A Sam M. K.
%T Using Deep Learning to Avoid Fake News in Newspaper
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 30
%P 39-44
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays, social media activity, particularly the news that spreads across the network, is a tremendous source of knowledge. People are drawn to the internet because of its ease of use, speedy dissemination of information, and lack of effort required to access it. Twitter's status as one of the most prominent sources of continuous news also makes it one of the most dominating media for disseminating news. Spreading rumors has been shown to inflict significant damage in the past. As a rule, users of web-based networking media tend to be trusting of the services they access. To maintain a healthy online media and informal organization, it is essential to automate the detection of fake news. When it comes to automated forged news detection in Twitter datasets.

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Index Terms

Computer Science
Information Sciences

Keywords

Newspaper Media Artificial Intelligence Fake News Twitter social media Data quality

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