Online Deception Detection Refueled by Real World Data Collection

• Published in: arXiv.org
• Main Authors: Yao, Wenlin, Dai, Zeyu, Huang, Ruihong, Caverlee, James
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 28.07.2017
• Subjects: Data collection; Deception; Domains; Electronic commerce; Network analysis; Social networks

The lack of large realistic datasets presents a bottleneck in online deception detection studies. In this paper, we apply a data collection method based on social network analysis to quickly identify high-quality deceptive and truthful online reviews from Amazon. The dataset contains more than 10,00...