Open AccessDetecting Fake Covid 19 News
Author(s) -
Miss Himanshi Rathore
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.2021.35271
Subject(s) - misinformation , fake news , covid-19 , pandemic , internet privacy , disinformation , coronavirus , panic , computer science , advertising , psychology , social media , computer security , business , world wide web , medicine , infectious disease (medical specialty) , disease , outbreak , virology , anxiety , pathology , psychiatry
The fake news Detection program exists to help its users distinguish between useful information and baseless rumours. It helps one to verify it themselves. In the current coronavirus disease (COVID-19) pandemic, misinformation is particularly prevalent, leading to people believing false and potentially harmful statements and posts. The spread of panic and misunderstanding among the public can be reduced if fake news is detected quickly. This covid 19 fake news detection model is specifically built to identify fake news.