This paper proposes a novel methodology to identify the geographic market of local newspapers when information on their diffusion is not available or is not sufficiently granular. We illustrate the methodology using historical data from 154 newly digitized newspapers published in Italy between...

We delve into Venezuela's 2018-2019 hyperinflation episode to examine the policy constraints autocratic governments face during extreme economic distress. We develop a simple model that reflects dynamics in a segmented foreign exchange (FX) market and allows us to understand how media coverage...

This contribution provides a first comprehensive mapping of the socio-ecological transformation (SET) landscape within the Austrian media (2015-2022). Utilizing a multi-layered mixed-methods framework that integrates Named Entity Recognition (NER), Structural Topic Modeling (STM), and Critical...

Despite rising stock markets in the United States and Europe from 2017 to 2024, we document that average daily stock market performance becomes negative when weighted by the amount of media coverage. We propose an explanation for this media negativity bias that does not rely on a bad-news bias...