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
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
相关论文
共 50 条
  • [1] Study of Hoax News Detection Using Naive Bayes Classifier in Indonesian Language
    Pratiwi, Inggrid Yanuar Risca
    Asmara, Rosa Andrie
    Rahutomo, Faisal
    [J]. PROCEEDINGS OF 2017 11TH INTERNATIONAL CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGY AND SYSTEMS (ICTS), 2017, : 73 - 78
  • [2] Intrusion Detection System using Naive Bayes algorithm
    Sharmila, B. S.
    Nagapadma, Rohini
    [J]. 2019 5TH IEEE INTERNATIONAL WIE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (WIECON-ECE 2019), 2019,
  • [3] Hoax Detection System on Indonesian News Sites Based on Text Classification using SVM and SGD
    Prasetijo, Agung B.
    Isnanto, R. Rizal
    Eridani, Dania
    Soetrisno, Yosua Alvin Adi
    Arfan, M.
    Sofwan, Aghus
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, COMPUTER, AND ELECTRICAL ENGINEERING (ICITACEE), 2017, : 45 - 49
  • [4] Fake News Detection Using Naive Bayes Classifier
    Granik, Mykhailo
    Mesyura, Volodymyr
    [J]. 2017 IEEE FIRST UKRAINE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (UKRCON), 2017, : 900 - 903
  • [5] Addressing Challenges for Intrusion Detection System using Naive Bayes and PCA Algorithm
    Almansob, Saqr Mohammed
    Lomte, Santosh Shivajirao
    [J]. 2017 2ND INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2017, : 565 - 568
  • [6] Hoax Analyzer for Indonesian News Using Deep Learning Models
    Nayoga, Bagas Pradipabista
    Adipradana, Ryan
    Suryadi, Ryan
    Suhartono, Derwin
    [J]. 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMPUTATIONAL INTELLIGENCE 2020, 2021, 179 : 704 - 712
  • [7] Classification of Hand Gesture in Indonesian Sign Language System using Naive Bayes
    Pramunanto, Eko
    Sumpeno, Surya
    Legowo, Rafiidha Selyna
    [J]. 2017 INTERNATIONAL SEMINAR ON SENSORS, INSTRUMENTATION, MEASUREMENT AND METROLOGY (ISSIMM), 2017, : 187 - 191
  • [8] Classification of Indonesian quote on Twitter using Naive Bayes
    Rachmadany, A.
    Pranoto, Y. M.
    Gunawan
    Multazam, M. T.
    Nandiyanto, A. B. D.
    Abdullah, A. G.
    Widiaty, I.
    [J]. 2ND ANNUAL APPLIED SCIENCE AND ENGINEERING CONFERENCE (AASEC 2017), 2018, 288
  • [9] Feature Selection Model using Naive Bayes ML Algorithm for WSN Intrusion Detection System
    Jeevaraj, Deepa
    Vijayan, T.
    Karthik, B.
    Sriram, M.
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING SYSTEMS, 2023, 14 (02) : 179 - 185
  • [10] Higher Classification of Fake Political News Using Decision Tree Algorithm Over Naive Bayes Algorithm
    Dinesh, T.
    Endran, T. Raj
    [J]. REVISTA GEINTEC-GESTAO INOVACAO E TECNOLOGIAS, 2021, 11 (02): : 1084 - 1096