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Research Paper | Computer Science Engineering | Volume 9 Issue 8, August 2020 | Pages: 338 - 342 | India
Fake News Detection Using Machine Learning Algorithms
Abstract: Social media interaction especially the news spreading around the network is a great source of information nowadays. From one’s perspective, its negligible exertion, straightforward access, and quick dispersing of information that lead people to look out and eat up news from internet-based life. Twitter being a standout amongst the most well-known ongoing news sources additionally ends up a standout amongst the most dominant news radiating mediums. It is known to cause extensive harm by spreading bits of gossip previously.
Keywords: Fake news, Naïve Bayes, Logistic Regression, Support Vector Machine, Accuracy, Precision, Recall, F1-Score
How to Cite?: Jagrati Sahu, "Fake News Detection Using Machine Learning Algorithms", Volume 9 Issue 8, August 2020, International Journal of Science and Research (IJSR), Pages: 338-342, https://www.ijsr.net/getabstract.php?paperid=SR20720134651, DOI: https://dx.doi.org/10.21275/SR20720134651