Open AccessLocation Based Fake News Detection using Machine Learning
Author(s) -
Rohit Nikam
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.2021.34939
Subject(s) - computer science , fake news , social media , feature (linguistics) , code (set theory) , computer security , internet privacy , world wide web , linguistics , philosophy , set (abstract data type) , programming language
Now a days lots of crime news incremented. In this system we can easy find which type of crime happened in particular city by using pin code. The easy access and exponential growth of the information available on social media network has made it detect to news or information fake or not. The easy dissemination of shared information has added to exponential growth of its falsification. On social media spreading lots of fake news. Thus it has become research challenge to automatically check detected news or information fake or real. Machine learning plays important role to classify the information in different categories. This paper reviews finding different types of crime news in particular city and detected news fake or real. One more feature is predict the future of crimes.