Dr. Miriam Brems

Assistant Professor

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Biography

Miriam Brems is a postdoctoral researcher in the Department of Media and Journalism Studies at Aarhus University. She received her PhD in Media and Journalism Studies from the same institution. Her research focuses on the dynamics between media, politics, and society, particularly the democratic impacts of using new types of news media. In her PhD dissertation, she investigated the use of alternative media in Denmark, analyzing people's motivations for seeking alternative news and the relationship between alternative news consumption, trust in traditional media, political trust, populist attitudes, and party choice. Currently, she is involved in a project examining how influencers affect their followers' political attitudes and democratic participation, particularly how these opinion leaders characterize themselves and the information sources they trust. Brems applies a mixed-methods approach to her work, utilizing both quantitative and qualitative research techniques such as surveys, content analysis, and interviews. Additionally, she has taught courses in journalism and digital communication and has been a part of various editorial teams for academic journals.

Research Interests

Experience

Postdoctoral Researcher

2021-02-01 — 2024-01-31

Aarhus University • Aarhus N, Denmark

Conduct research in the area of media and journalism studies; part of large interdisciplinary projects evaluating the impact of media on public opinion and democracy.

Awards

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AUFF PhD Prize

2025-05-28

Requirements for Aarhus University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:83
Prerequisites
Bachelor's degree in a relevant field Specific credit requirements in programming, algorithms, and computer systems
Application Checklist
  • Official Bachelor's degree certificate
  • Official transcripts of records
  • Course descriptions
  • Curriculum Vitae (CV)
  • Documentation of English language proficiency
Specialization Notes

Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.