Implicit and Explicit Racism in News and Social Media

Project Directors Prof. Dr. Hartmut Wessler, Dr. Chung-hong Chan, Dr. Philipp Müller Project Staff Dr. Rainer Freudenthaler, M.A. Katharina Ludwig BMFSFJ-funded 2022 – 2025

Research question/goal:

This project investigates implicit and explicit racism in the mediated public sphere (established news media, alternative media, social networks) in Germany and its effects on racist stereotypes in the population. We build on a shorter project that was funded within the first round of the DeZIM racism monitor, in which we successfully developed instruments for the automated measurement of explicit and implicit group-related stigmatization in the news coverage of select key media outlets. Based on this research, we will now capture a broader picture of the larger mediated public sphere in Germany. We will investigate the following questions:

  1. Which ethnical, cultural, or religious groups are portrayed with positive or negative connotations in which areas of the mediated public sphere?
  2. What are the differences between the implicit and explicit emotional tonality of news coverage of different groups within established media, alternative media, and social media?
  3. In which thematic context do we find a significantly larger share of explicit or implicit negative connotations relating to specific groups?
  4. How does the degree of implicit and explicit negative associations in the mediated public sphere affect implicit and explicit racist stereotypes in the population?

We draw upon established theories from social psychology and communication research related to group attribution and stigmatization, starting with Social Identity Theory and Social Categorization Theory, which capture the centrality of group membership in how people perceive themselves and others. Mediated discourses play an important role in the reproduction of such group schemes, especially concerning the attitudes towards outgroups (“Mediated Intergroup Contact”).

To analyse the entirety of these influences, we investigate negative as well as positive attributions within the mediated public sphere. Furthermore, we account for manifest as well as latent messages media content can contain, corresponding to findings that people hold both explicit and implicit negative or positive attributes towards social groups. Therefore, we measure both explicit group evaluations and implicitly value-laden statements within the German mediated public sphere. This will include traditional journalistic media, regional media, alternative online media, and relevant political social media accounts. Through continuous data collection over the whole project period, we will capture a longitudinal image of the degree of explicit and implicit racist stigmatization within the German mediated public sphere.

In a second project module, we will investigate the effects of explicit and implicit group-related stigmatization on explicit and implicit group-related attitudes. We will employ a large-scale experimental design using the rich-stimulus sampling strategy, which allows us to model the independent factor (degree of stigmatization within media content) as a continuous variable.

Current stage:

In both project pillars—content analysis and effects experiment—all data have been collected and initial analyses have been completed. Two journal publications based on these analyses are currently being prepared and will be submitted shortly. At the same time, we are revising two publications (theory paper & validation study) for journal publication. At the end of 2024, we also completed the data archiving and preparation of our content analysis model as a web app, which can be used by media practitioners to assess the degree of group stigmatisation within their texts.


Publications

Book Chapters

  • Nürnbergk, Christian, Jörg Haßler, Jonas Schützeneder, Nina Schumacher (Eds.) Ludwig, Katharina, Chung-hong Chan, Rainer Freudenthaler, Philipp Müller, Hartmut Wessler (2024): Differenzieller Rassismus in den Nachrichten: Implizite und explizite Stigmatisierungen. 113-130. Baden-Baden, Nomos. More

Journal Articles

  • Müller, Philipp, Chung-hong Chan, Katharina Ludwig, Rainer Freudenthaler, Hartmut Wessler (2023): Differential Racism in the News: Using Semi-Supervised Machine Learning to Distinguish Explicit and Implicit Stigmatization of Ethnic and Religious Groups in Journalistic Discourse. Political Communication, 40, 4, 396-414. More

Presentations

  • Freudenthaler, Rainer, Philipp Müller, Katharina Ludwig, Chung-hong Chan (2024): Mapping patterns of ethnic group coverage in German news media and social media to detect traces of racial prejudice and political alliance-building. [21st IMISCOE Annual Conference, Lissabon, 01/07/2024 - 04/07/2024]. More
  • Freudenthaler, Rainer, Philipp Müller, Katharina Ludwig, Chung-hong Chan (2024): Muster der Berichterstattung über ethnische Gruppen in deutschen Nachrichtenmedien und sozialen Medien. [DeZIM-Tagung, Mannheim, 08/10/2024 - 10/10/2024]. More
  • Ludwig, Katharina, Nevena Nikolajevic, Philipp Müller (2023): (De-)Polarization in the ”Filter Bubble“? Attitudinal Impact of News Recommender Systems Based on Users’ Political Preferences. [73th Annual Conference of the International Communication Association (ICA), Toronto, 24/05/2023 - 28/05/2023]. More