Laura Laugwitz
Biographic Data
| ID | 4900348 |
|---|---|
| NAME | Laura Laugwitz |
| GIVEN NAMES | Laura |
| FAMILY NAME | Laugwitz |
| SIGNATURE | LAUGWITZ L |
| AFFILIATIONS | Universität Hamburg |
| ORCID | 0000-0001-8527-2504 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Datafication of Journalism: How Data Elites and Epistemic Infrastructures Change News Organizations
Data has become an increasingly important commodity for news organizations. The capability to extract, store, and analyze data is also central to organizational decision-making. Drawing on the concept of epistemic infrastructures, this study sheds light on organizational datafication in journalism. Analyzing job advertisements of incumbent broadcast, print legacy, and online-only news outlets in the US and UK, this study traces material underpinn…
Diversity as Capital? Marginalized Identities and Subtle Inequality in Data Journalism
Solving journalism with data: Silicon Valley’s influence on the Fourth Estate
The historically ambiguous relationship between journalism and Big Tech can be traced back to the late 20th century, when news organizations started to recognize the potential of the Internet as a distribution platform. While a growing body of literature is concerned with power asymmetries between Big Tech and journalism, the role of place in shaping the layered histories of journalism remains underexplored. This study uses a framework of place—c…
Benefits of Diverse News Recommendations for Democracy: A User Study
News recommender systems provide a technological architecture that helps shaping public discourse. Following a normative approach to news recommender system design, we test utility and external effects of a diversity-aware news recommender algorithm. In an experimental study using a custom-built news app, we show that diversity-optimized recommendations (1) perform similar to methods optimizing for user preferences regarding user utility, (2) tha…
BRAT Rapid Annotation Tool
Im Kontext interdisziplinärer Zusammenarbeit insbesondere mit Kolleg*innen aus der Informatik wird die Kommunikations- und Medienforschung seit geraumer Zeit mit einer großen Bandbreite an Forschungssoftware konfrontiert, mit der sie bislang nur wenig Erfahrungen hat. Neben Programmiersprachen wie Python oder R sind dies etwa spezifische Tools zur Textanalyse, die eine Alternative zu bisherigen Varianten der computergestützten Inhaltsanalyse dars…
Solving journalism with data: Silicon Valley’s influence on the Fourth Estate
The historically ambiguous relationship between journalism and Big Tech can be traced back to the late 20th century, when news organizations started to recognize the potential of the Internet as a distribution platform. While a growing body of literature is concerned with power asymmetries between Big Tech and journalism, the role of place in shaping the layered histories of journalism remains underexplored. This study uses a framework of place—c…
Benefits of Diverse News Recommendations for Democracy: A User Study
News recommender systems provide a technological architecture that helps shaping public discourse. Following a normative approach to news recommender system design, we test utility and external effects of a diversity-aware news recommender algorithm. In an experimental study using a custom-built news app, we show that diversity-optimized recommendations (1) perform similar to methods optimizing for user preferences regarding user utility, (2) tha…
BRAT Rapid Annotation Tool
Im Kontext interdisziplinärer Zusammenarbeit insbesondere mit Kolleg*innen aus der Informatik wird die Kommunikations- und Medienforschung seit geraumer Zeit mit einer großen Bandbreite an Forschungssoftware konfrontiert, mit der sie bislang nur wenig Erfahrungen hat. Neben Programmiersprachen wie Python oder R sind dies etwa spezifische Tools zur Textanalyse, die eine Alternative zu bisherigen Varianten der computergestützten Inhaltsanalyse dars…
Solving journalism with data: Silicon Valley’s influence on the Fourth Estate
The historically ambiguous relationship between journalism and Big Tech can be traced back to the late 20th century, when news organizations started to recognize the potential of the Internet as a distribution platform. While a growing body of literature is concerned with power asymmetries between Big Tech and journalism, the role of place in shaping the layered histories of journalism remains underexplored. This study uses a framework of place—c…
Diversity as Capital? Marginalized Identities and Subtle Inequality in Data Journalism
Datafication of Journalism: How Data Elites and Epistemic Infrastructures Change News Organizations
Data has become an increasingly important commodity for news organizations. The capability to extract, store, and analyze data is also central to organizational decision-making. Drawing on the concept of epistemic infrastructures, this study sheds light on organizational datafication in journalism. Analyzing job advertisements of incumbent broadcast, print legacy, and online-only news outlets in the US and UK, this study traces material underpinn…
Political science (5 works) · Computer Science (3 works) · Journalism (3 works) · Media studies (3 works) · Media Studies and Communication (3 works) · Sociology (3 works) · Law (2 works) · Public relations (2 works) · Social Media and Politics (2 works) · Advertising (1 works)