Open AccessFake News Classification Using Outliner Detection and Trend Analysis
Author(s) -
Anurag K. Srivastava
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37123
Subject(s) - fake news , harmony (color) , anomaly detection , social harmony , affect (linguistics) , computer science , data science , advertising , internet privacy , data mining , psychology , sociology , business , art , social science , communication , visual arts
In modern era fake news is one of the major causes for disrupted social harmony, impact of fake news can lead to various unforeseen situations and thus affect the society as a whole. This paper proposed the use of anomaly detection and trend analysis for detecting fake news.