Smart fake news recognition system
Telakapalli Sumanth Sarma
, Nakkala Hemanth Kumar , R Prema
Automated Detection, Data Sets, Fake news, Information, Machine learning, Model training, Text analytics.
In this digital age,fake news is a huge issue considering it hurts real-world communities by disseminating misinformation, destroying reputations, and igniting social unrest.
Fake news can be a result of misinformation, or it can be an intentional attempt to intentionally mislead people.Now it has become harder and harder to recognize whether the news is legitimate news from fake news as social media has grown a lot.At the same time identifying and rectifying fake news is a significant concern for any news organization, So here comes machine learning,which can help in doing so.Machine Learning Techniques have shown promising results in detecting fake news with the help of analyzing vast amounts of data, in which it identifies patterns and it provides outcomes that are based on those patterns. Machine Learning can be applied in various ways and fields for the detection of false inforamtion.
"Smart fake news recognition system", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b606-b608, March-2025, Available :https://ijsdr.org/papers/IJSDR2503177.pdf
Volume 10
Issue 3,
March-2025
Pages : b606-b608
Paper Reg. ID: IJSDR_301199
Published Paper Id: IJSDR2503177
Downloads: 000155
Research Area: Science and Technology
Country: Nandyal,Kurnool District, Andhra Pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
