INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
FAKE NEWS DETECTION ON SOCIAL MEDIA USING NAIVE BAYES ALGORITHM
Authors Name:
V. DURGAKALYAN
, L.JAGADEESH , P.SAI SIDDHARTHA , P.KARTHIKEYA
Unique Id:
IJSDR2304287
Published In:
Volume 8 Issue 4, April-2023
Abstract:
Recently, due to the rapid improvement of social media on the Internet, faux information for various commercial and political functions seems in huge numbers and is extensively disbursed in the online world. By using misleading words, social media customers can without difficulty be infected via this faux news on-line, which has already made a big effect at the offline network. An vital role in increasing the credibility of facts in on line social networks is the timely detection of faux information. This article objectives to investigate principles, methodologies and algorithms for detecting faux information articles, creators and topics from social networks at the Internet and comparing the corresponding effectiveness. Accurate information on the Internet, especially on social media, is a developing trouble, however Internet statistics hinders the ability to identify, examine and accurate such records or, as it's miles called, "faux information" present on these systems. In this text we have proposed the way to locate "faux news" and the way to do it on Facebook, one of the maximum famous online social media platforms. This approach makes use of a Naïve Bayes class version to are expecting whether or not a Facebook put up is flagged as real or fake
Keywords:
Misinformation, Disinformation, Propaganda, Clickbait, Hoax, Satire, Conspiracy theory
Cite Article:
"FAKE NEWS DETECTION ON SOCIAL MEDIA USING NAIVE BAYES ALGORITHM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1861 - 1864, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304287.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR2304287
Registration ID:205518
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1861 - 1864
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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