A Highly Accurate Internet-Based Fake Information Detection Tool for Indonesian Twitter

Arifin, Rizal, Syaifuddiin, Gus Nanang, Desriyanti, Desriyanti, Rosyidin, Zulkham Umar and Buntoro, Ghulam Asrofi (2022) A Highly Accurate Internet-Based Fake Information Detection Tool for Indonesian Twitter. Informatica, 46 (9). pp. 25-30. ISSN p-ISSN: 0350-5596 | e-ISSN: 1854-3871

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Abstract

The dissemination of fake information through social media has several harmful effects on the social life of a nation. Indonesia has been afflicted by the dissemination of erroneous information regarding the negative health consequences of vaccination, resulting in widespread unwillingness to undergo immunization. Therefore, it is necessary to combat such misleading information. We developed a web application using machine learning technologies to identify bogus information flowing on Indonesian Twitter. A Passive-Aggressive Classifier and n-gram tokenization are used to handle data. The application test results indicate that the detection accuracy, precision, and recall for 1-3 grams of tokenization are higher than 90%. In addition, the black box approach yields reliable findings for all application functionalities.

Item Type:	Article
Uncontrolled Keywords:	fake information, identification, Indonesian Twitter, machine learning, application
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering > Department of Informatic Engineering
Depositing User:	Library Umpo
Date Deposited:	13 Feb 2023 04:51
Last Modified:	13 Feb 2023 04:51
URI:	http://eprints.umpo.ac.id/id/eprint/10833

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