We review the economics of superstars, originally developed for stars in traditional media, and discuss whether they are applicable for the (allegedly) novel phenomenon of stars in social media (influencer, micro-celebrities). Moreover, we analyse potentially new factors for creating social...

We document a causal influence of online user-generated information on realworld economic outcomes. In particular, we conduct a randomized field experiment to test whether additional information on Wikipedia about cities affects tourists' choices of overnight visits. Our treatment of adding...

This paper presents a review of empirical methods used to assess the behavioral, economic, and political outcomes of Internet and social media usage. Instead of merely surveying the various impacts of the Internet, we examine the methods adopted to identify these impacts. We describe two main...

Today, many platforms rely on contributions by users to create value. While they play an increasing role in today's digital economy, little is known about how dominant user-driven platforms emerge and what determines the production of content here. We aim to extend our understanding of this...

We investigate the effect of social media endorsements (likes, retweets, shares) on individuals' policy preferences. In two online controlled experiments (N=1,384), we exposed participants to non-neutral policy messages about the COVID-19 pandemic (emphasizing either public health or economic...

We present an easy to implement measure for the political position of news outlets based on politicians' selective sharing of news items. Politicians predominantly share news items that are in line with their political position, hence, one can infer the political position of news outlets from...

The importance of user-generated content is growing as media consumption is moving online; yet, investigations of media bias on user-generated content platforms are rare. We develop a novel procedure to detect coverage bias - i.e., bias in the amount of coverage certain topics or issues receive -...

The importance of user-generated content is growing as media consumption is moving online; yet, investigations of media bias on user-generated content platforms are rare. We develop a novel procedure to detect coverage bias – i.e., bias in the amount of coverage certain topics or issues receive...