The work by Baker et al. (2016), who propose a dictionary based method and estimate the level of economic policy uncertainty (EPU) based on the occurrence of specific terms in ten leading newspapers in the USA, is among the first ones to detect the potential of text data in economic research....

Understanding behavioral aspects of collective decision-making is an important challenge for eco-nomics, and narratives are a crucial group-based mechanism that influences human decision-making. This paper introduces the Character-Role Narrative Framework as a tool to systematically analyze...

The Covid-19 pandemic changed contentious politics worldwide. After causing a short-lived decline in global protest activities in early 2020, it has led to the emergence of a variety of pandemic-related protests. While previous work has mostly looked at how event frequencies have changed over...

This paper examines how APEC has transformed itself into an international forum for the vision of regional integration. It aims to quantify the documentation produced by the international organization and provide quantifiable evidence that aligns with prior knowledge rather than relying solely...

By applying computational linguistics tools to the analysis of US federal district courts' decisions from 1932 to 2016, this paper quantifies the rise of economic reasoning in court cases that range from securities regulation to antitrust law. I then relate judges' level of economic reasoning to...

Due to the omnipresence of digital technologies in the economy, measuring firm digitalisation is of high importance. However, current indicators show several shortcomings, e.g., they lack timeliness and regional granularity. In this study, we show that advances in text mining and comprehensive...

Due to the omnipresence of digital technologies in the economy, measuring firm digitalisation is of high importance. However, current indicators show several shortcomings, e.g., they lack timeliness and regional granularity. In this study, we show that advances in text mining and comprehensive...