Many scholars argue that content providers, when incentivized by ad revenue, are more likely to tailor their content to attract “eyeballs,” and as a result, popular content may be excessively supplied. We empirically test this prediction by taking advantage of the launch of an...

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

We present a new 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 politicians'...

There exists significant hype regarding how much machine learning and incorporating social media data can improve forecast accuracy in commercial applications. To assess if the hype is warranted, we use data from the film industry in simulation experiments that contrast econometric approaches...

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...

This research examines social media users' value-creation processes and the drivers of a start-up company's successful social media strategy. This research primarily aims to understand start-ups' effective utilization of social media and value co-creation processes. Although utilizing social...

Objective: The purpose of this paper is twofold: first, to identify the general use of the internet and examples of main social media used by residents of Bangladesh and second, to discover their potential in building marketing communication between FMCG manufacturers and consumers. Methods: The...