Fake news detection: A systematic review

  Sampada G.C.,  Vijendra Singh Brahme,  Kanika Singla

Fake news, misinformation spreads rapidly as the real news thus manipulating public opinion. Fake news represents the false and unsubstantiated details, facts and figures. The uncertain information should be detected promptly in order to minimize its effect. The rapid spread of the fake news has become a matter of concern and has grasped the attention of many researchers for the detection of fake news in order to reduce its impact. During the covid-19 pandemic, there was a high rise of fake news and many researchers have been actively working in this field in order to automate the detection of fake news. This paper propounds a survey on the state of art of fake news detection along with an overview of the publicly available dataset, and fake news.

Keywords- Fake news, misinformation, text classification, text mining, deep learning, fake news detection.

Unique Identification Number - IJEDR2102001
Page Number(s) - 1-14
Pubished in - Volume 9 | Issue 2 | April 2021
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Sampada G.C.,  Vijendra Singh Brahme,  Kanika Singla,   "Fake news detection: A systematic review", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.9, Issue 2, pp.1-14, April 2021, Available at :http://www.ijedr.org/papers/IJEDR2102001.pdf