Tobias Thomas
Biographic Data
| ID | 3863526 |
|---|---|
| NAME | Tobias Thomas |
| GIVEN NAMES | Tobias |
| FAMILY NAME | Thomas |
| SIGNATURE | THOMAS T |
| AFFILIATIONS | Heinrich Heine University Düsseldorf |
| ORCID | 0000-0001-9930-2823 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Too hot to play it cool? Temperature and negative media bias
This paper examines the impact of outdoor temperature on media bias in a quasi-experimental setting. We take advantage of the geographical proximity of the locations of the three major US news networks, ABC News, CBS News, and NBC News, all headquartered in New York City, and granular variations in local daily temperatures. We use more than 10 years of daily hand-coded data on the tonality of evening weekday news broadcasts by each news network t…
Fostering Excellent Research by the Austrian Micro Data Center (AMDC)
Access to high quality microdata is a precondition for the empirical investigation of many interrelationships in the economic and social sciences. Therefore, well-functioning research data infrastructure is a cornerstone of a successful science location. While other countries in Europe, such as Denmark and the Netherlands, have had microdata centres at their respective National Statistical Offices for quite some time, microdata access for researc…
“Whatever It Takes!” How tonality of TV-news affected government bond yield spreads during the European debt crisis
Were government bond risk premia affected by the media in addition to the effects of major events? Revisiting the European debt crisis, we analyze the role of television news in the rise and re-convergence of GIIPS bond spreads vis-à-vis Germany from 2007 to 2016. We use a dataset of more than one million human-coded news items from leading newscasts worldwide to identify over 25,000 news on the Eurozone and country-specific economic topics. Our …
Modelling dataset bias in machine-learned theories of economic decision-making
Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networks on a new online large-scale dataset, choices13k. Here we systematically analyse the relationships between several models and datasets using machine-learning methods and find evidence for dataset bi…
Measuring partisan media bias in US newscasts from 2001 to 2012
Does the 4th estate deliver? The Political Coverage Index and its application to media capture
Does the 4th estate deliver? The Political Coverage Index and its application to media capture
Modelling dataset bias in machine-learned theories of economic decision-making
Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networks on a new online large-scale dataset, choices13k. Here we systematically analyse the relationships between several models and datasets using machine-learning methods and find evidence for dataset bi…
Does the 4th estate deliver? The Political Coverage Index and its application to media capture
Measuring partisan media bias in US newscasts from 2001 to 2012
Fostering Excellent Research by the Austrian Micro Data Center (AMDC)
Access to high quality microdata is a precondition for the empirical investigation of many interrelationships in the economic and social sciences. Therefore, well-functioning research data infrastructure is a cornerstone of a successful science location. While other countries in Europe, such as Denmark and the Netherlands, have had microdata centres at their respective National Statistical Offices for quite some time, microdata access for researc…
“Whatever It Takes!” How tonality of TV-news affected government bond yield spreads during the European debt crisis
Were government bond risk premia affected by the media in addition to the effects of major events? Revisiting the European debt crisis, we analyze the role of television news in the rise and re-convergence of GIIPS bond spreads vis-à-vis Germany from 2007 to 2016. We use a dataset of more than one million human-coded news items from leading newscasts worldwide to identify over 25,000 news on the Eurozone and country-specific economic topics. Our …
Modelling dataset bias in machine-learned theories of economic decision-making
Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networks on a new online large-scale dataset, choices13k. Here we systematically analyse the relationships between several models and datasets using machine-learning methods and find evidence for dataset bi…
Too hot to play it cool? Temperature and negative media bias
This paper examines the impact of outdoor temperature on media bias in a quasi-experimental setting. We take advantage of the geographical proximity of the locations of the three major US news networks, ABC News, CBS News, and NBC News, all headquartered in New York City, and granular variations in local daily temperatures. We use more than 10 years of daily hand-coded data on the tonality of evening weekday news broadcasts by each news network t…
Media Influence and Politics (4 works) · Computer Science (3 works) · Political science (3 works) · Sociology (3 works) · Electoral Systems and Political Participation (2 works) · Law (2 works) · Media bias (2 works) · Political economy (2 works) · Politics (2 works) · Artificial Intelligence (1 work)