<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Hoax news in Indonesia spread at an alarming rate. To reduce this, hoax news detection system needs to be created and put into practice. Such a system may use readers’ feedback and Naïve Bayes algorithm, which is used to verify news. Overtime, by using readers’ feedback, database corpus will continue to grow and could improve system performance. The current research aims to reach this. System performance evaluation is carried out under two conditions ‒ with and without sources (URL). The system is able to detect hoax news very well under both conditions. The highest precision, recall and f-measure values when including URL are 0.91, 1, and 0.95 respectively. Meanwhile, the highest value of precision, recall and f-measure without URL are 0.88, 1 and 0.94, respectively.</p></abstract>

Hoax news in Indonesia spread at an alarming rate. To reduce this, hoax news detection system needs to be created and put into practice. Such a system may use readers’ feedback and Naïve Bayes algorithm, which is used to verify news. Overtime, by using readers’ feedback, database corpus will continue to grow and could improve system performance. The current research aims to reach this. System performance evaluation is carried out under two conditions ‒ with and without sources (URL). The system is able to detect hoax news very well under both conditions. The highest precision, recall and f-measure values when including URL are 0.91, 1, and 0.95 respectively. Meanwhile, the highest value of precision, recall and f-measure without URL are 0.88, 1 and 0.94, respectively.

An Indonesian Hoax News Detection System Using Reader Feedback and Naïve Bayes Algorithm

Information System Study Program, Faculty of Science and Technology

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Hoax news in Indonesia spread at an alarming rate. To reduce this, hoax news detection system needs to be created and put into practice. Such a system may use...

An Indonesian Hoax News Detection System Using Reader Feedback and Naïve Bayes Algorithm

Online veröffentlicht: 27. März 2020

Seitenbereich: 82 - 94

Eingereicht: 30. Juli 2019

Akzeptiert: 27. Dez. 2019

DOI: https://doi.org/10.2478/cait-2020-0006

Schlüsselwörter
Hoax news, Indonesian news, Naïve Bayes, reader feedback.s

© 2020 Badrus Zaman et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

An Indonesian Hoax News Detection System Using Reader Feedback and Naïve Bayes Algorithm

Online veröffentlicht: 27. März 2020

Seitenbereich: 82 - 94

Eingereicht: 30. Juli 2019

Akzeptiert: 27. Dez. 2019

DOI: https://doi.org/10.2478/cait-2020-0006

SchlüsselwörterHoax news, Indonesian news, Naïve Bayes, reader feedback.s

© 2020 Badrus Zaman et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Hoax news, Indonesian news, Naïve Bayes, reader feedback.s