IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

An Intelligent Approach to Detect Fake News Using Artificial Intelligence Technique

An Intelligent Approach to Detect Fake News Using Artificial Intelligence Technique
View Sample PDF
Author(s): Sumit Das (JIS College of Engineering, India), Manas Kumar Sanyal (University of Kalyani, India) and Sarbajyoti Mallik (JIS College of Engineering, India)
Copyright: 2021
Volume: 13
Issue: 2
Pages: 12
Source title: International Journal of Distributed Artificial Intelligence (IJDAI)
Editor(s)-in-Chief: Firas Abdulrazzaq Raheem (University of Technology - Iraq, Iraq) and Israa AbdulAmeer AbdulJabbar (University of Technology - Iraq, Iraq)
DOI: 10.4018/IJDAI.2021070101

Purchase

View An Intelligent Approach to Detect Fake News Using Artificial Intelligence Technique on the publisher's website for pricing and purchasing information.

Abstract

There is a lot of fake news roaming around various mediums, which misleads people. It is a big issue in this advanced intelligent era, and there is a need to find some solution to this kind of situation. This article proposes an approach that analyzes fake and real news. This analysis is focused on sentiment, significance, and novelty, which are a few characteristics of this news. The ability to manipulate daily information mathematically and statistically is allowed by expressing news reports as numbers and metadata. The objective of this article is to analyze and filter out the fake news that makes trouble. The proposed model is amalgamated with the web application; users can get real data and fake data by using this application. The authors have used the AI (artificial intelligence) algorithms, specifically logistic regression and LSTM (long short-term memory), so that the application works well. The results of the proposed model are compared with existing models.

Related Content

. © 2022.
. © 2022.
. © 2022.
Pavan Kumar, Poornima B., H. S. Nagendraswamy, C. Manjunath, B. E. Rangaswamy. © 2021. 35 pages.
Ben-Bright Benuwa, Benjamin Ghansah. © 2021. 22 pages.
Amit Kumar, T. V. Vijay Kumar. © 2021. 16 pages.
Antoine Trad. © 2021. 28 pages.
Body Bottom