首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:Can You Distinguish Truthful from Fake Reviews? User Analysis and Assistance Tool for Fake Review Detection
  • 本地全文:下载
  • 作者:Jeonghwan Kim ; Junmo Kang ; Suwon Shin
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2021
  • 卷号:2021
  • 页码:53-59
  • 语种:English
  • 出版社:ACL Anthology
  • 摘要:Customer reviews are useful in providing an indirect, secondhand experience of a product. People often use reviews written by other customers as a guideline prior to purchasing a product. Such behavior signifies the authenticity of reviews in e-commerce platforms. However, fake reviews are increasingly becoming a hassle for both consumers and product owners. To address this issue, we propose You Only Need Gold (YONG), an essential information mining tool for detecting fake reviews and augmenting user discretion. Our experimental results show the poor human performance on fake review detection, substantially improved user capability given our tool, and the ultimate need for user reliance on the tool.
国家哲学社会科学文献中心版权所有