This research project examines how platforms and firms manage information asymmetries on online marketplaces. In the context of media markets such as the e-book market and online news, we use both economic modelling and empirical techniques such as machine learning and text mining. For example, in a research project on online content provision, we look at how content providers use free content and free samples to gain a competitive advantage and how effective it is. In another project on the online news industry, we examine how negativity of news stories drives both the supply and consumption of online news. For this project, we analyse a large-scale data set on over 500,000 news articles published by leading German online news sites using machine learning and text mining techniques.
D.K. Zegners (2017). Building an Online Reputation with Free Content: Evidence from the E-book Market.