Paid review and paid writer detection
Journal
2017 IEEE/WIC/ACM International Conference on Web Intelligence
Pages
637-645
ISBN
9781450349512
Date Issued
2017
Author(s)
Abstract
There has been a surge in opinion-sharing in the public domain. Some opinions greatly influence our decisions, e.g., the choice of purchase. Malicious parties or individuals exploit social media by generating fake reviews for opinion manipulation. This paper aims to investigate the phenomenon of online paid restaurant reviews by bloggers. Our research provides an insight into some characteristics of paid reviews and their authors. We then explore a set of features based on our observations and detect paid reviews and paid bloggers using supervised machine learning techniques. Experimental results show the effectiveness of our approach. ? 2017 ACM.
Subjects
Blogging
Fake review
Opinion spam
Paid review
Type
conference paper