Extensive Feature Analysis and Baseline Model for Stance Detection Task

Identifying and curtailing the spread of fake news is a complex and challenging task. Automated stance detection can be an important first step in alleviating the tedious process of fact checking. In this paper, we try to evaluate various language representation, and statistical similarity technique to discern the best possible mathematical modeling of the sentences for the task of stance evaluation. Our work is based on the dataset of the fake news challenge 1. The paper expounds our implementation details, the features, and models that work best for the given task.