FALSE: Fake News Automatic and Lightweight Solution

Document Type

Conference Proceeding

Source of Publication

2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)

Publication Date

7-30-2022

Abstract

Fake news existed ever since there was news, from rumors to printed media then radio and television. Recently, the information age, with its communications and Internet breakthroughs, exacerbated the spread of fake news. Additionally, aside from e-Commerce, the current Internet economy is dependent on advertisements, views and clicks, which prompted many developers to bait the end users to click links or ads. Consequently, the wild spread of fake news through social media networks has impacted real world issues from elections to 5G adoption and the handling of the Covid-19 pandemic. Efforts to detect and thwart fake news has been there since the advent of fake news, from fact checkers to artificial intelligence-based detectors. Solutions are still evolving as more sophisticated techniques are employed by fake news propagators. In this paper, R code have been used to study and visualize a modern fake news dataset. We use clustering, classification, correlation and various plots to analyze and present the data. The experiments show high efficiency of classifiers in telling apart real from fake news.

ISBN

978-1-6654-5126-0

Publisher

IEEE

Volume

00

First Page

49

Last Page

54

Disciplines

Computer Sciences

Keywords

Correlation, Three-dimensional displays, TV, Social networking (online), Pandemics, Voting, Data visualization

Indexed in Scopus

no

Open Access

yes

Open Access Type

Green: A manuscript of this publication is openly available in a repository

Link to Full Text

Share

COinS