JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Feature Analysis for Detecting Mobile Application Review Generated by AI-Based Language Model |
| 영문제목(English Title) |
Feature Analysis for Detecting Mobile Application Review Generated by AI-Based Language Model |
| 저자(Author) |
Enkhtuul Bukhsuren
Uyanga Sambuu
Oyun-Erdene Namsrai
Batnasan Namsrai
Keun Ho Ryu
Seung-Cheol Lee
Yonghun Jang
Chang-Hyeon Park
Yeong-Seok Seo
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| 원문수록처(Citation) |
VOL 18 NO. 05 PP. 0650 ~ 0664 (2022. 10) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Mobile applications can be easily downloaded and installed via markets. However, malware and malicious applications containing unwanted advertisements exist in these application markets. Therefore, smartphone users install applications with reference to the application review to avoid such malicious applications. An application review typically comprises contents for evaluation; however, a false review with a specific purpose can be included. Such false reviews are known as fake reviews, and they can be generated using artificial intelligence (AI)-based text-generating models. Recently, AI-based text-generating models have been developed rapidly and demonstrate high-quality generated texts. Herein, we analyze the features of fake reviews generated from Generative Pre-Training-2 (GPT-2), an AI-based text-generating model and create a model to detect those fake reviews. First, we collect a real human-written application review from Kaggle. Subsequently, we identify features of the fake review using natural language processing and statistical analysis. Next, we generate fake review detection models using five types of machine-learning models trained using identified features. In terms of the performances of the fake review detection models, we achieved average F1-scores of 0.738, 0.723, and 0.730 for the fake review, real review, and overall classifications, respectively. |
| 키워드(Keyword) |
Data Mining
Decision Support System
K-Means Clustering
Artificial Intelligence
Fake Review
GPT-2
Language Model
Machine Learning
Software Engineering
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| 파일첨부 |
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