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...

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 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...

From a global warming perspective, an enterprise's environmental, social, and governance (ESG) performance and disclosure have received significant attention from external stakeholders, e.g., green investors. Based on agenda-setting theory, this study empirically explores how negative media...

This paper introduces a novel TV news index specifically designed to track coverage of rising inflation across major US TV channels: ABC, CBS, CNN, and Fox News. The index is generated daily and aggregated into a monthly measure. Using this index, we analyze the impact of TV news on inflation...

Flamino et al. (2023) estimate the levels of ideological polarization and echo chamber behavior for Twitter (now X) users during the 2016 and 2020 U.S. presidential elections using political bias classification and network analysis methods. Using 873 million tweets, they find a decline in the...

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...

How does the media bias the news? And in particular, how much does it cost owners to ensure that journalists comply with their stance? We compile a unique dataset of journalists and guests appearing on French television and radio shows between 2002 and 2020 to quantify the role played by...

Using novel smartphone content data, we document that exposure to election-related content for the median American is arguably small. Moreover, exposure rarely comes from news apps and instead mostly occurs through non-traditional sources, such as social media and video apps. While the median...

On July 30, 2025, President Trump imposed 50% tariffs on imports from Brazil and sanctioned a sitting Brazilian Supreme Court Justice, both partially because of Brazil’s online content moderation decisions. This is an extreme, but not an isolated event: worldwide, legislators and regulators...

This exploratory study examines AI's transformative role in the Philippine media industry, particularly in news media, highlighting both opportunities and challenges. It utilizes a qualitative research method that includes desk reviews, key informant interviews, and focus group discussions with...

We explore how news and social pressure affect public opinion on climate change in the USA, based on county-level data over the period 1990-2024. Social pressure turns out to be the key factor that shapes public opinion on climate change, much more so than media. Policies that increase the...

This study provides an analysis of the current landscape of public news media financing within EU Member States. The study maps public funding and financing measures supporting news media, provides an analysis of financing trends and identifies needs in the current information ecosystem. At an...