Child Labor in Social Media: Exploring a Decade of YouTube Data

Abstract

In this paper we explore the phenomenon of child labor, an important sustainability issue listed in the sustainable development goals (SDGs), via a novel approach by deploying machine learning tools of Python with data scrapped from popular social media YouTube. As a less investigated topic in the management field, our purpose of this study is to raise further awareness of child labor in the contemporary business context, with an issue largely omitted by international management and multinational companies, but profoundly rooted in developing countries and global supply chain. After the analysis of 11913 YouTube text data with Python machine learning tools, we deployed co-wording and squared multiple correlation technique to further explore the multiple variable relations for our further discussions of future research in this line