Dr. Valerie Hase

Dr. Valerie Hase

Postdoctoral Scholar / Akademische Rätin a.Z.

LMU Munich

Biography

Welcome! I am a Postdoctoral Scholar (Akademische Rätin a.Z.) at the Department of Media and Communication, LMU Munich. Taking a Computational Social Science (CSS) perspective, I study bias in digital data/methods and digital news (use).

My research centers on questions such as: How can we employ digital trace data to understand information-seeking across platforms? How can we track the flow of information with CSS online? What are biases of CSS methods?

I also focus on crisis and conflict communication: In my Ph.D., I employed computational methods to study how news media cover crises: from terrorist attacks and terrorist groups to climate change and other fear-related topics.

My research is situated at the intersection of social science and computer science. It combines computational approaches (automated content analysis, digital trace data) with traditional methods (manual content analysis, surveys, experiments).

I serve as a speaker for the Journalism Studies Division of the German Communication Association. I am also a member of the Editorial Board of Digital Journalism. As I am interested in improving CSS methods, I co-founded the Computational Methods Working Group at the University of Zurich/ETH and the Methods Early Career Network of the German Communication Association (DGPuK). Moreover, I teach and give workshops on R/Python, automated content analysis, and digital trace data.

For more information, download my CV.

Interests
  • Computational Methods
  • Digital News (Use)
  • Cross-Platform Approaches
  • Crisis Communication

Skills

Automated Content Analysis

Advanced

Digital Trace Data

Advanced

APIs/Scraping

Advanced

R

Advanced

Python

Proficient

Github

Proficient

Selected Publications


For a full list of my publications, see here


Teaching

Data Donation

Data Donation

Workshop, Conference Journalism/Science Communication Divison DGPuK (2023)

Advanced Text Analysis

Advanced Text Analysis

Summer Institute in CSS - Munich (2023)

News on & for Social Media

News on & for Social Media

B.A. Research seminar, LMU Munich (2023)

Cross-Platform Journalism

Cross-Platform Journalism

B.A. Research seminar, LMU Munich (2022-2023)

Your News, My News, No News

Your News, My News, No News

M.A. Research seminar, LMU Munich (2022-2023)

Text as Data Methods in R

Text as Data Methods in R

M.A. Seminar, University of Zurich (2021)

Text as Data

Text as Data

B.A. Research seminar, University of Zurich (2020-2021)

Automated Text Analysis

Automated Text Analysis

Workshop, Conference Journalism Studies Division DGPuK (2019)

Propaganda Online

Propaganda Online

B.A. Research seminar, University of Zurich (2019-2020)

Crisis & Risks in the News

Crisis & Risks in the News

B.A. Research seminar, University of Zurich (2018-2019)

Mass Media & Terrorism

Mass Media & Terrorism

B.A. Research seminar, University of Zurich (2017-2018)

Outreach

In the Media

In the Media

Press, Poadcasts & TV Appearances

(Co-)Organized Events

(Co-)Organized Events

Conferences & Workshops