Fake review identification and utility evaluation model using machine learning

被引：2
|
作者：
Choi, Wonil [1 ]
Nam, Kyungmin [1 ]
Park, Minwoo [1 ]
Yang, Seoyi [1 ]
Hwang, Sangyoon [1 ]
Oh, Hayoung [2 ]
机构：
[1] Sungkyunkwan Univ, Dept Business Adm, Seoul, South Korea
[2] Sungkyunkwan Univ, Coll Comp & Informat, Seoul, South Korea
来源：
FRONTIERS IN ARTIFICIAL INTELLIGENCE | 2023年 / 5卷
基金：
新加坡国家研究基金会;
关键词：
machine learning; fake review; fake review detection technique; e-commerce; useful reviews; SVC; logistic regression;
D O I：
10.3389/frai.2022.1064371
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Due to the structural growth of e-commerce platforms, the frequency of exchange of opinions and the number of online reviews of platform participants related to products are increasing. However, given the growth of fake reviews, the corresponding growth in the quality of online reviews seems to be slow, at best. The number of cases of harm to retailers and customers caused by malicious false reviews is steadily increasing every year. In this context, it is becoming difficult for users to determine useful reviews amid a flood of information. As a result, the intrinsic value of online reviews that reduce uncertainty in pre-purchase decisions is blurred, and e-commerce platforms are on the verge of losing credibility and traffic. Through this study, we intend to present solutions related to review filtering and classification by constructing a model for judging the authenticity and usefulness of online reviews using machine learning.
引用
收藏
页数：13
相关论文
共 50 条
  • [1] Fake Product Review Detection Using Machine Learning
    Sohan, Md Mahadi Hassan
    Khan, Mohammad Monirujjaman
    Nanda, Ipseeta
    Dey, Rajesh
    2022 IEEE WORLD AI IOT CONGRESS (AIIOT), 2022, : 527 - 532
  • [2] Utility of Machine Learning Technology in Microbial Identification: A Critical Review
    Bharadwaj, Alok
    Gupta, Mansi
    Shakya, Akanksha
    ADVANCEMENTS OF MICROBIOLOGY, 2023, 62 (02) : 65 - 74
  • [3] An Online Fake Review Detection Approach Using Famous Machine Learning Algorithms
    Alshehri, Asma Hassan
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 78 (02): : 2767 - 2786
  • [4] Fake Job Detection and Analysis Using Machine Learning and Deep Learning Algorithms
    Anita, C. S.
    Nagarajan, P.
    Sairam, G. Aditya
    Ganesh, P.
    Deepakkumar, G.
    REVISTA GEINTEC-GESTAO INOVACAO E TECNOLOGIAS, 2021, 11 (02): : 642 - 650
  • [5] Raising a Model for Fake News Detection Using Machine Learning in Python']Python
    Rolong Agudelo, Gerardo Ernesto
    Salcedo Parra, Octavio Jose
    Baron Velandia, Julio
    CHALLENGES AND OPPORTUNITIES IN THE DIGITAL ERA, 2018, 11195 : 596 - 604
  • [6] Data Analytics for the Identification of Fake Reviews Using Supervised Learning
    Alsubari, Saleh Nagi
    Deshmukh, Sachin N.
    Alqarni, Ahmed Abdullah
    Alsharif, Nizar
    Aldhyani, Theyazn H. H.
    Alsaade, Fawaz Waselallah
    Khalaf, Osamah I.
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 70 (02): : 3189 - 3204
  • [7] Effective prediction of fake news using two machine learning algorithms
    Sudhakar M.
    Kaliyamurthie K.P.
    Measurement: Sensors, 2022, 24
  • [8] Detecting Fake News using Machine Learning Techniques
    Beri, Mohit
    Sharma, Neha
    2024 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT CYBER PHYSICAL SYSTEMS AND INTERNET OF THINGS, ICOICI 2024, 2024, : 1609 - 1612
  • [9] Detecting Fake News Using Machine Learning Algorithms
    Bharath, G.
    Manikanta, K. J.
    Prakash, G. Bhanu
    Sumathi, R.
    Chinnasamy, P.
    2021 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2021,
  • [10] Fake News Detection Using Ensemble Machine Learning
    Mohale, Potsane
    Leung, Wai Sze
    PROCEEDINGS OF THE 18TH EUROPEAN CONFERENCE ON CYBER WARFARE AND SECURITY (ECCWS 2019), 2019, : 777 - 784
12345