Peer-reviewed Journal Articles

(18) TeBlunthuis, N., Hase, V., & Chan, C.-H. (2024). Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can! Communication Measures and Methods. Online first publication. https://doi.org/10.1080/19312458.2023.2293713

(17) Haim, M., Hase, V., Schindler, J., Bachl, M., & Domahidi, E. (2023). (Re)Establishing Quality Criteria for Content Analysis: A Critical Perspective on the Field’s Core Method. SCM – Studies in Communication and Media, 12(4), 277–288. https://doi.org/10.5771/2192-4007-2023-4-277

(16) Haim, M., Leiner, D., & Hase, V. (2023). Integration Data Donations in Online Surveys. Medien & Kommunikationswissenschaft, 71(1-2), 130-137. https://doi.org/10.5771/1615-634X-2023-1-2-130

(15) Hase, V., Boczek, K., & Scharkow, M. (2023). Adapting to Affordances and Audiences? A Cross-Platform, Multi-Modal Analysis of the Platformization of News on Facebook, Instagram, TikTok, and Twitter. Digital Journalism, 11(8), 1499–1520. https://doi.org/10.1080/21670811.2022.2128389

(14) Hase, V., Mahl, D., & Schäfer, M. S. (2023). The “Computational Turn”: An “Interdisciplinary Turn”? A Systematic Review of Text as Data Approaches in Journalism Studies. Online Media and Global Communication. https://doi.org/10.1515/omgc-2023-0003 [translated version of article 9]

(13) Hase, V. (2023). What is Terrorism (according to the News)? How the German Press Selectively Labels Political Violence as “Terrorism”. Journalism, 24(2), 398-417. https://doi.org/10.1177/14648849211017003

(12) Schäfer, M.S., & Hase, V. (2022). Computational Methods for The Analysis of Climate Change Communication: Towards an Integrative and Reflexive Approach. WIREs Climate Change, 14(2), e806. https://doi.org/10.1002/wcc.806

(11) Hase, V., & Engelke, K. (2022). Emotions in Crisis Coverage: How UK News Media Used Fear Appeals to Report on the Coronavirus Crisis. Journalism and Media, 3(4), 633–649. https://doi.org/10.3390/journalmedia3040042

(10) Hase, V., Schäfer, M.S., Metag, J., Bischofberger, M., & Henry, L. (2022). Engaging the Public or Asking Your Friends? Analyzing Science-Related Crowdfunding Using Behavioral and Survey Data. Public Understanding of Science, 39(8), 993-1011. https://doi.org/10.1177/09636625221113134

(9) Hase, V., Mahl, D., & Schäfer, M. S. (2022). Der „Computational Turn“: ein „interdisziplinärer Turn“? Ein systematischer Überblick zur Nutzung der automatisierten Inhaltsanalyse in der Journalismusforschung. Medien & Kommunikationswissenschaft, 70(1-2): 60-78. https://doi.org/10.5771/1615-634X-2022-1-2-60

(8) Hellmüller, L., Hase, V., & Lindner, P. (2022). Terrorist Organizations in the News: A Computational Approach to Measure Media Attention Towards Terrorism. Mass Communication & Society, 25(1), 134–152. https://doi.org/10.1080/15205436.2021.1936068

(7) Hase, V., Mahl, D., Schäfer, M., & Keller, T. (2021). Climate Change in News Media across the Globe: An Automated Analysis of Issue Attention and Themes in Climate Change Coverage in 10 Countries (2006-2018). Global Environmental Change, 70, 102353. https://doi.org/10.1016/j.gloenvcha.2021.102353

(6) Hase, V., Engelke, K., & Kieslich, K. (2020). The Things We Fear. Combining Automated and Manual Content Analysis to Uncover Themes, Topics and Threats in Fear-Related News. Journalism Studies, 21(10), 1384–1402. https://doi.org/10.1080/1461670X.2020.1753092

(5) Keller, T., Hase, V., Thaker, J., Mahl, D., & Schäfer, M. S. (2020). News Media coverage of Climate Change in India 1997-2016. Using Automated Content Analysis to Assess Issue Salience and Topics. Environmental Communication, 14(2), 219-235. https://doi.org/10.1080/17524032.2019.1643383

(4) Wintterlin, F., Engelke, K., & Hase, V. (2020). Can Transparency Preserve Journalism’s Trustworthiness? Recipients' Views on Transparency about Source Origin and Verification regarding User-generated Content in the News. Studies in Communication and Media, 9(2), 218-240. https://doi.org/10.5771/2192-4007-2020-2-218

(3) Grosser, K., Hase, V., & Wintterlin, F. (2019). On Measuring Trust and Distrust in Journalism: Reflection of the Status Quo and Suggestions for the Road ahead. Journal of Trust Research, 9(1), 66-86. https://doi.org/10.1080/21515581.2019.1588741.

(2) Grosser, K., Hase, V., & Wintterlin, F. (2019). Trustworthy or Shady? Exploring the Influence of Verifying and Visualizing UGC on Online Journalism’s Trustworthiness. Journalism Studies, 20(4), 500-522. https://doi.org/10.1080/1461670X.2017.1392255.

(1) Birkner, T., & Hase, V. (2017). Framing German and Global Politics over Three Decades – A Content Analysis of the Journalistic Work of Helmut Schmidt. Medien und Zeit, 32(2), 30-42.