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Detecting Fake News
bhuvankumar,  bala murugan,  vigneshwaran
Fake news and hoaxes are there since before the arrival of the online. The widely accepted definition of Internet fake news is fictitious articles deliberately fabricated to deceive readers. Social media and news outlets publish fake news to extend readership as a part of war of nerves. In general, the goal is profiting through clickbait. Clickbait lure users and entice curiosity with flashy headlines or designs to click links to extend advertisements revenues. This exposition analyzes the prevalence of faux news in light of the advances in communication made possible by the emergence of social networking sites. The purpose of the work is to return up with an answer which will be utilized by users to detect and filter sites containing false and misleading information. We use simple and punctiliously selected features of the title and post to Accurately identify fake posts. The experimental results show a better accuracy for finding fake news in the social media.
Keywords- this provides an easy thanks to both token a set of text documents and build a vocabulary of known words, but also to encode new documents using that vocabulary.
Unique Identification Number - IJEDR2104013Page Number(s) - 61-65Pubished in - Volume 9 | Issue 4 | November 2021DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
bhuvankumar,  bala murugan,  vigneshwaran,   "Detecting Fake News"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.9, Issue 4, pp.61-65, November 2021, Available at :http://www.ijedr.org/papers/IJEDR2104013.pdf