Significant Machine Learning and Statistical Concepts and their Applications in Social Computing

Abstract

The field of Social Computing has tremendous potential to explore the value within the data generated from various social media platforms like Facebook, Instagram, Twitter, Snapchat, LinkedIn etc. Due to the growing volume of this data, it has become difficult to gain insights with the help of traditional techniques. So machine learning techniques have become the bread and butter of researchers working in this area as they can be used to analyze large volumes of data. The purpose of this paper is to get introduced to some important research problems in the area of social computing, the machine learning and statistical methods adopted by the researchers worldwide to address those problems and the research gaps that still need to be addressed. It also emphasizes on an important problem on Twitter platform: The classification of a tweet as fake or real.