Daniel Stegmann

Daniel Stegmann
Johannes Gutenberg-Universität Mainz/JGU · Department of Communication

Master of Arts

About

4
Publications
1,394
Reads
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20
Citations
Introduction
Daniel Stegmann is a research associate at the Department of Communication, Johannes Gutenberg University of Mainz, Germany. His research interests comprise media and society, fragmentation, media trust and diversity.
Additional affiliations
January 2020 - May 2020
Johannes Gutenberg-Universität Mainz
Position
  • Research Associate
August 2019 - December 2019
Mainzer Medieninstitut
Position
  • Research Associate
Education
October 2017 - September 2019
Johannes Gutenberg-Universität Mainz
Field of study
  • Communication Science
April 2014 - November 2017
Johannes Gutenberg-Universität Mainz
Field of study
  • Communication and Political Science

Publications

Publications (4)
Preprint
Full-text available
The filter bubble is an ideal-typical metaphor which describes a closed information environment in which individuals only receive information in line with their personal interests and opinions. It is assumed that this pattern is particularly caused and amplified by the algorithmic curation of information intermediaries such as search engines and so...
Preprint
Full-text available
Echo chambers are a metaphor for closed communication environments in which like-minded people continuously confirm their common opinions to each other, like an echo. The term is strongly associated with social media because it is often assumed that the algorithms of social media put all their users in such information environments by showing them...
Article
Full-text available
Diversity is essential for democratic opinion-building. Ideally, the media provides a wide range of information and opinions on relevant social and political issues, on the basis of which citizens can form their own opinions. For media policy, it is therefore important to prevent certain groups or individuals from gaining too powerful an influence...
Article
Full-text available
https://algorithmwatch.org/wp-content/uploads/2020/05/Governing-Platforms-communications-study-Stark-May-2020-AlgorithmWatch.pdf

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