Online fake news detection algorithm

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...

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Main Authors: Sirajudeen, Sakeena M, A. Azmi, Nur Fatihah, Abubakar, Adamu
Format: Article
Language:English
English
Published: Journal of Theoretical and Applied Information Technology 2017
Subjects:
Online Access:http://irep.iium.edu.my/58446/
http://irep.iium.edu.my/58446/
http://irep.iium.edu.my/58446/1/Published.pdf
http://irep.iium.edu.my/58446/7/Online%20fake%20news%20detection%20algorithm.pdf
id iium-58446
recordtype eprints
spelling iium-584462018-05-17T06:43:07Z http://irep.iium.edu.my/58446/ Online fake news detection algorithm Sirajudeen, Sakeena M A. Azmi, Nur Fatihah Abubakar, Adamu Q350 Information theory 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. Journal of Theoretical and Applied Information Technology 2017-09-15 Article PeerReviewed application/pdf en http://irep.iium.edu.my/58446/1/Published.pdf application/pdf en http://irep.iium.edu.my/58446/7/Online%20fake%20news%20detection%20algorithm.pdf 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 http://www.jatit.org/volumes/Vol95No17/7Vol95No17.pdf
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic Q350 Information theory
spellingShingle Q350 Information theory
Sirajudeen, Sakeena M
A. Azmi, Nur Fatihah
Abubakar, Adamu
Online fake news detection algorithm
description 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.
format Article
author Sirajudeen, Sakeena M
A. Azmi, Nur Fatihah
Abubakar, Adamu
author_facet Sirajudeen, Sakeena M
A. Azmi, Nur Fatihah
Abubakar, Adamu
author_sort Sirajudeen, Sakeena M
title Online fake news detection algorithm
title_short Online fake news detection algorithm
title_full Online fake news detection algorithm
title_fullStr Online fake news detection algorithm
title_full_unstemmed Online fake news detection algorithm
title_sort online fake news detection algorithm
publisher Journal of Theoretical and Applied Information Technology
publishDate 2017
url http://irep.iium.edu.my/58446/
http://irep.iium.edu.my/58446/
http://irep.iium.edu.my/58446/1/Published.pdf
http://irep.iium.edu.my/58446/7/Online%20fake%20news%20detection%20algorithm.pdf
first_indexed 2023-09-18T21:22:39Z
last_indexed 2023-09-18T21:22:39Z
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