Online fake news detection algorithm

Sirajudeen, Sakeena M and A. Azmi, Nur Fatihah and Abubakar, Adamu (2017) Online fake news detection algorithm. Journal of Theoretical and Applied Information Technology, 95 (17). pp. 4114-4122. ISSN 1992-8645 E-ISSN 1817-3195

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Abstract

Microblogging sites allowing disseminating distasteful content. This has become vigorous and nearly unstoppable now. Spreading online fake news has been identified as one of the major top concern of online abuse. Due to the difficulty in preventing and evaluating what does fake news contain prior to publishing it online, if an algorithm is known for detecting fake news, then spreading online fake news wouldn’t exist in the first place, lead this paper to presents an evaluation of the effectiveness of algorithm(s), able to detect and filter to reasonable degree of accuracy what constitute an online fake news. The proposed approach is a multi-layered evaluations technique to be built as an app, where all information read online is associated with a tag, given a description of the facts about the contain. A proof of concept is provided for better understanding of the proposed techniques. This has contributed in providing possible steps to be taken by some popular Microblogging sites to stop the widespread of fake news.

Item Type:	Article (Journal)
Additional Information:	7132/58446
Uncontrolled Keywords:	Online Fake News, Hoax News, Detection, Filtering
Subjects:	Q Science > Q Science (General) > Q300 Cybernetics > Q350 Information theory
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr Adamu Abubakar
Date Deposited:	21 Sep 2017 10:27
Last Modified:	17 May 2018 14:43
URI:	http://irep.iium.edu.my/id/eprint/58446

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