Event Details
Opinion Spam detection using n-gram features
Presenter: Hadeer Ahmed
Supervisor:
Date: Mon, October 23, 2017
Time: 15:00:00 - 00:00:00
Place: EOW 430
ABSTRACT
ABSTRACT:
In recent years, deceptive contents such as fake news and fake reviews, also known as opinion spams, have increasingly become a dangerous prospect, for online users. Fake reviews affect consumers and stores alike. Furthermore, the problem of fake news has gained attention in 2016, especially in the aftermath of the last US presidential election. Fake reviews and fake news are a closely related phenomenon as both consist of writing and spreading false information or beliefs. The opinion spam problem was formulated for the first time a few years ago, but it has quickly become a growing research area due to the abundance of user-generated content. It is now easy for anyone to either write fake reviews or write fake news on the web. The biggest challenge is the lack of an efficient way to tell the difference between a real review or a fake one; even humans are often unable to tell the difference. In this seminar, we will discuss the efficiency of n-gram features to detect fake contents with a focus on fake reviews and fake news.