Large Language Models (LLMs) have the potential to profoundly transform and enrich experimental economic research. We propose a new software framework, "alter_ego", which makes it easy to design experiments between LLMs and to integrate LLMs into oTreebased experiments with human subjects. Our...

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 -...

This paper investigates and quantifies citizens' susceptibility to fake news and assesses, using a randomized control trial, the effectiveness of a policy intervention to raise awareness. We find that the average citizen lacks proficiency in identifying fake news and harbors an inflated...

We study people's subjective models of the macroeconomy and shed light on their at-tentional foundations. To do so, we measure beliefs about the effects of macroeconomic shocks on unemployment and inflation, providing respondents with identical information about the parameters of the shocks and...

In a large-scale online experiment with U.S. Democrats, we examine how the demand for a newsletter about an economic relief plan changes when the newsletter content is fact-checked. We first document an overall muted demand for factchecking when the newsletter features stories from an...

We review the emerging literature on information acquisition in field settings. We first document an increase in studies on information acquisition and review relevant studies in different subfields of economics, including macroeconomics, political economy, labor economics, health economics, and...

We provide evidence on the stories that people tell to explain a historically notable rise in inflation using samples of experts, U.S. households, and managers. We document substantial heterogeneity in narratives about the drivers of higher inflation rates. Experts put more emphasis on...