Staff View: Fake news detection techniques on social media: A survey

Fake news detection techniques on social media: A survey

Social media platforms like Twitter have become common tools for disseminating and consuming news because of the ease with which users can get access to and consume it. This paper focuses on the identification of false news and the use of cutting-edge detection methods in the context of news, user,...

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Main Authors:	Ali, Ihsan, Ayub, Mohamad Nizam, Shivakumara, Palaiahnakote, Noor, Nurul Fazmidar Binti Mohd
Format:	Article
Published:	Wiley 2022
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.um.edu.my/41174/
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id	my.um.eprints.41174
record_format	eprints
spelling	my.um.eprints.411742023-09-12T04:01:47Z http://eprints.um.edu.my/41174/ Fake news detection techniques on social media: A survey Ali, Ihsan Ayub, Mohamad Nizam Shivakumara, Palaiahnakote Noor, Nurul Fazmidar Binti Mohd QA75 Electronic computers. Computer science Social media platforms like Twitter have become common tools for disseminating and consuming news because of the ease with which users can get access to and consume it. This paper focuses on the identification of false news and the use of cutting-edge detection methods in the context of news, user, and social levels. Fake news detection taxonomy was proposed in this research. This study examines a variety of cutting-edge methods for spotting false news and discusses their drawbacks. It also explored how to detect and recognize false news, such as credibility-based, time-based, social context-based, and the substance of the news itself. Lastly, the paper examines various datasets used for detecting fake news and proposed an algorithm. Wiley 2022-08 Article PeerReviewed Ali, Ihsan and Ayub, Mohamad Nizam and Shivakumara, Palaiahnakote and Noor, Nurul Fazmidar Binti Mohd (2022) Fake news detection techniques on social media: A survey. Wireless Communications and Mobile Computing, 2022. ISSN 1530-8669, DOI https://doi.org/10.1155/2022/6072084 <https://doi.org/10.1155/2022/6072084>. 10.1155/2022/6072084
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Ali, Ihsan Ayub, Mohamad Nizam Shivakumara, Palaiahnakote Noor, Nurul Fazmidar Binti Mohd Fake news detection techniques on social media: A survey
description	Social media platforms like Twitter have become common tools for disseminating and consuming news because of the ease with which users can get access to and consume it. This paper focuses on the identification of false news and the use of cutting-edge detection methods in the context of news, user, and social levels. Fake news detection taxonomy was proposed in this research. This study examines a variety of cutting-edge methods for spotting false news and discusses their drawbacks. It also explored how to detect and recognize false news, such as credibility-based, time-based, social context-based, and the substance of the news itself. Lastly, the paper examines various datasets used for detecting fake news and proposed an algorithm.
format	Article
author	Ali, Ihsan Ayub, Mohamad Nizam Shivakumara, Palaiahnakote Noor, Nurul Fazmidar Binti Mohd
author_facet	Ali, Ihsan Ayub, Mohamad Nizam Shivakumara, Palaiahnakote Noor, Nurul Fazmidar Binti Mohd
author_sort	Ali, Ihsan
title	Fake news detection techniques on social media: A survey
title_short	Fake news detection techniques on social media: A survey
title_full	Fake news detection techniques on social media: A survey
title_fullStr	Fake news detection techniques on social media: A survey
title_full_unstemmed	Fake news detection techniques on social media: A survey
title_sort	fake news detection techniques on social media: a survey
publisher	Wiley
publishDate	2022
url	http://eprints.um.edu.my/41174/
_version_	1778161636187570176
score	13.211869

Fake news detection techniques on social media: A survey

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