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

被引：7
|
作者：
Zaman, Badrus [1 ]
Justitia, Army [1 ]
Sani, Kretawiweka Nuraga [1 ]
Purwanti, Endah [1 ]
机构：
[1] Univ Airlangga, Fac Sci & Technol, Informat Syst Study Program, Surabaya 60115, Indonesia
来源：
CYBERNETICS AND INFORMATION TECHNOLOGIES | 2020年 / 20卷 / 01期
关键词：
Hoax news; Indonesian news; Naive Bayes; reader feedback; TEXT; CLASSIFICATION;
D O I：
10.2478/cait-2020-0006
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 Naive 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.
引用
收藏
页码：82 / 94
页数：13
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