A Spam Review Detection Method by Verifying Consistency among Multiple Review Sites
| Title | A Spam Review Detection Method by Verifying Consistency among Multiple Review Sites |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Yao, Chuhao, Wang, Jiahong, Kodama, Eiichiro |
| Conference Name | 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) |
| ISBN Number | 978-1-7281-2058-4 |
| Keywords | Conferences, consistency, consistency verification, Human Behavior, human factors, Internet, Metrics, Multiple review sites, performance evaluation, pubcrawl, reliability, review information, review sites, Scalability, sentiment analysis, Software, spam detection, spam review, Spam review detection, unsolicited e-mail, user purchasing behavior, user reviews, Web sites, websites |
| Abstract | In recent years, websites that incorporate user reviews, such as Amazon, IMDB and YELP, have become exceedingly popular. As an important factor affecting users purchasing behavior, review information has been becoming increasingly important, and accordingly, the reliability of review information becomes an important issue. This paper proposes a method to more accurately detect the appearance period of spam reviews and to identify the spam reviews by verifying the consistency of review information among multiple review sites. Evaluation experiments were conducted to show the accuracy of the detection results, and compared the newly proposed method with our previously proposed method. |
| URL | https://ieeexplore.ieee.org/document/8855334 |
| DOI | 10.1109/HPCC/SmartCity/DSS.2019.00396 |
| Citation Key | yao_spam_2019 |
- review sites
- websites
- Web sites
- user reviews
- user purchasing behavior
- unsolicited e-mail
- Spam review detection
- spam review
- spam detection
- Software
- sentiment analysis
- Scalability
- Conferences
- review information
- Reliability
- pubcrawl
- performance evaluation
- Multiple review sites
- Metrics
- internet
- Human Factors
- Human behavior
- consistency verification
- consistency