학술논문

A Study on Artificial Intelligence Techniques for Fake News Detection
Document Type
Conference
Source
2021 International Conference on Technological Advancements and Innovations (ICTAI) Technological Advancements and Innovations (ICTAI), 2021 International Conference on. :482-487 Nov, 2021
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Technological innovation
Systematics
Social networking (online)
Explosives
Fake news
Artificial intelligence
Machine Learning
Deep Learning
Neural Network
Fake News
Sentiment Analysis
Language
Abstract
In recent years, there is an explosive growth of fake news on social media platform. Purpose behind spreading fake news is to create deception. This dissemination of fake news is becoming increasingly dangerous. This paper presents a comprehensive survey of fake news detection methods along with the identification of available data sets. We discuss the various artificial intelligence methods along with their comparative study. Finally, this review identifies the research challenges and potential directions for detection of fake news over social media.