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...

Information conveyed through news media influences political behavior. But to what extent are media markets themselves shaped by political determinants? We build a novel panel dataset of newspaper markets in India from 2002 to 2017 to measure the impact of changes in apportionment on the...

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...