Trust Investigation in Communities Using Feature Learning

Abstract

Online Q&A communities play a key role in informal learning. This paper reports on an investigation in Q&A communities aiming at bringing a new perspective to the problem of detecting trustworthy users through feature learning methods. These users write useful posts and contribute to the community growth, thus to knowledge dissemination. We propose two feature learning methods and demonstrate that they outperform the state of the as well as are competitive with works that addressed the same problem via hand-engineering process.