Arjun Mukherjee

Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns

2021 · Proceedings of the International AAAI Conference on Web and Social Media

Although opinion spam (or fake review) detection has attracted significant research attention in recent years, the problem is far from solved. One key reason is that there is no large-scale ground truth labeled dataset available …

On the Temporal Dynamics of Opinion Spamming

2016

Recently, the problem of opinion spam has been widespread and has attracted a lot of research attention. While the problem has been approached on a variety of dimensions, the temporal dynamics in which opinion spamming …

Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors

2016 · arXiv (Cornell University)

Online reviews play a crucial role in helping consumers evaluate and compare products and services. However, review hosting sites are often targeted by opinion spamming. In recent years, many such sites have put a great …

Bimodal Distribution and Co-Bursting in Review Spam Detection

2017

Online reviews play a crucial role in helping consumers evaluate and compare products and services. This critical importance of reviews also incentivizes fraudsters (or spammers) to write fake or spam reviews to secretly promote or …

Improving Authorship Verification using Linguistic Divergence

2021 · arXiv (Cornell University)

We propose an unsupervised solution to the Authorship Verification task that utilizes pre-trained deep language models to compute a new metric called DV-Distance. The proposed metric is a measure of the difference between the two …