Dr. Nadja Schaetz

Nadja Schaetz is a postdoctoral researcher at the University of Hamburg. Her work investigates the relationship between technological innovation and the news media from a sociotechnical perspective. She is particularly interested in how power and inequities are reinforced or challenged by technological changes. She holds a PhD in journalism and communication studies from the University of Hamburg. Prior to her doctoral studies, she worked as a research associate at the Weizenbaum Institute for the Networked Society, Freie Universität Berlin, and Stockholm University.

I. Conferences 

• Gagrčin, E., Schaetz, N., Toth, R., Naab, T., Emmer, M. (2025) Perceptions and Implications of Data Harms to Individuals and Society. Deutsche Gesellschaft für Publizistik- und Kommunikationswissenschaft (DGPuK) 70th Annual Conference, Berlin.
• Schaetz, N. (2025) AI Provenance Loss and the Boundaries of Origin. STS-Hub 2025: Diffracting the Critical, Berlin.
• Schaetz, N.; Schjøtt Hansen, A. (2024) A Sociology of Expectations: Understanding AI Hype in Journalism. Association of Internet Researchers (AoIR), Sheffield.
• Schaetz, N.; Gagrčin, E. (2024) How Immediacy Diminishes Academic Labor, YECREA, Ljubljana.
• Koitie, P., Schaetz, N., Kunert, J., Lischka, J. (2024) No AI without Datafication: Datafication Levels and Actor Constellations in Kenyan and German News Organisations. Pre-conference to the 10th European Communication Conference (ECREA): Mapping AI Constellations in News Media and Journalism, Ljubljana.
• Koitie, P., Schaetz, N., Kunert, J., Lischka, J. (2024) The Datafication Divide in Journalism. DGPuK FG-Tagung: Methoden & DigiKomm, Hamburg.
• Hilker, C.; Schaetz, N.; Loosen, W.; Lischka, A.J. (2024) From Innovation Labs to Innovation Systems in Public-Service Media. 74th ICA Annual Conference, Gold Coast (virtual).
• Schaetz, N., Laugwitz, L., Lischka, A.J. (2024) Domestication of Data in Journalism. Big Data Discourses: Communicating, Deliberating, and Imagining Datafication Conference, Leipzig.
• Schaetz, N., Schjøtt Hansen, A. (2023) ‘Journalistic AI Training Programs: Macro Epistemics, Inequities & A Global Journalistic Coalition’. AI Infrastructures Conference, AI, Media, and Democracy Lab, Amsterdam.
• Schjøtt Hansen, A. Schaetz, N. (2023) AI courses as epistemic devices: A case study of the JournalismAI Academy for Small Newsrooms. AI Infrastructures Conference, AI, Media, and Democracy Lab, Amsterdam.
• Schaetz, N., Lischka, A.J., Laugwitz, L. (2023) From Data to Epistemic Infrastructure: How Data Elites Are Changing the Journalistic Field. 74rd ICA Annual Conference, Toronto.  
• Schjøtt Hansen, A. Schaetz, N. (2023) The Paradox of Responsible AI: A Study of Journalistic Training Programs on AI as Socio-Discursive and Performative Spaces.74rd ICA Annual Conference, Toronto.  
• Gagrčin, E., Schaetz, N.,Toth, R., Emmer, M. (2023) Commodification, Control, Concern: Exploring Appraisals of Data Collection Harms to Individuals and Democracy Among Young European Social Media Users. 74rd ICA Annual Conference, Toronto.  
• Lischka, A.J., Laugwitz, L.,Schaetz, N., Meyer, H., Heitz, L., Abdullah, R. Kunert, J., Kleinen von Königslöw, K. (2023) When Recommender Systems Select Political News: Effects of Algorithmic News Curation on Party Preferences. 74rd ICA Annual Conference, Toronto.  
• Schaetz, N. (2022). News Professionals and their Datafied Audiences: How Audience Data Practices Shape Inequity. 74rd ICA Annual Conference, Paris.  
• Schaetz, N. (2022). News Professionals and their Datafied Audiences: How Audience Data Practices Shape Inequity. Media & Publics, Roskilde.
• Lischka, J.A. & Schaetz, N. (2021) Of Monsters and Centaurs: Narrative Construction of the Future of Journalism in Professional Projectories, Future of Journalism Conference, Sept 23 – 24, 2021, virtual.
• Lischka, J.A. & Schaetz, N. (2021) Editorial Technologists as Newsroom Pioneers, International Communication Association (ICA) Conference, May 27 – 31, 2021, virtual.
• Robertson A., Schaetz, N. (2021) News Professionals, Audiences and Communication Rights in a Global Perspective. European Communication Research and Education Association (ECREA), 6-9 September 2021, virtual
• Robertson A., Schaetz, N. (2020) Representations of Inequality in Global Television News. IAMCR - 2020, virtual.  

 II. Invited Talks

• Schaetz, N. (2024) OriGen: AI Data Provenance Loss. AI, Media, and Democracy Lab, University of Amsterdam.
• Schaetz, N. & Schjøtt, A. (2024) Understanding AI Hype in Journalism. Berkman Klein Center For Internet & Society, Harvard.
• Schaetz, N. (2024) Generative AI: Immediacy & Origin. Critical Data and Machine Learning Lecture Series. Department of Arts and Cultural Studies, University of Copenhagen.
• Schaetz, N. (2024) Independent Journalism and AI. Digital- und Medienpolitische Fachforum Bündnis 90/Die Grünen (Alliance 90/The Greens), Berlin.
• Schaetz, N. (2023) Resilience and Innovation in Journalism. Der Spiegel, Hamburg.
• Schaetz, N. (2022) Digital Transformation and Platform Dependencies. Das Konzeptwerk, online.

III. Workshops

• Was bedeutet es, Bürger online zu sein? (What does it mean to be a citizen online?). Federal Agency for Civic Education, March 6, 2020, Frankfurt am Main

Grants

• 2023 Digital and Data Literacy in Teaching Lab Grant
• 2022 Digital and Data Literacy in Teaching Lab Grant

Research Visits

• 2021 Visiting Scholar, Walter Cronkite School of Journalism and Mass Communication, Arizona State University; Supervisor/Collaborator: Assistant Professor Jakob L. Nelson

Awards

• Robertson A., Schaetz, N. (2019) ‘Top Papers in Global Communication and Social Change’ Award. 69th ICA Annual Conference, Washington D.C.

• Critical Data Studies (B.A.)
• Data and AI Literacy in Journalism (M.A.)
• Feminist Interventions in News Distribution (B.A.)
• Algorithmische Optimierung in demokratischen Öffentlichkeiten (M.A.)
• Journalism & Audience Datafication (M.A.)
• Media & Attention (B.A.)
• Datafication and Information Inequality: News Professionals and Audiences in a Global Perspective (B.A.)
• Methods of Communication Research (B.A.)
• Formalised Curiosity: Foundations of Qualitative Interviewing (M.A.)
• Quantitative Content Analysis (M.A.) 

Guest Lectures:

• 2021 Responsibility, Ethics, Justice? Principles of Data Feminism (M.A.), Furtwangen University.
• 2021 Media and Politics in a Globalizing World (M.A.), Stockholm University.
• 2018 Global Crisis, Global Media (M.A.), Stockholm University.