PublISHED ON 03 October 2019

UpDATED ON 03 October 2019

Mining for Meaning

The Dynamics of Public Discourse on Migration. A research project within the research program migration and integration.

Project leader: Marc Keuschnigg

Period: 2019 - 2024

Seat of learning: Linköping University

Project title: Mining for Meaning: The Dynamics of Public Discourse on Migration

What is the project about?

Understanding public discourse is essential for managing reactions to modern migration and integrating the newly arrived. In the wake of digitalization, much of the public sentiment, agenda setting, and political framing of societal developments has moved to social-media platforms, publicly-accessible newspaper repositories, and machine-readable archives of parliamentary speeches and party manifestos.

The project studies the discourse dynamics between politicians, media, and the public to understand meaning making, explore shifts in sentiment, and follow how collectively agreed narratives arise. The project combines research on migration and integration with the development of machine-learning applications for the sociological analysis of digitized text.

Project research questions

  • How do the public discourses on immigration form and change over time?
    What part do social media, traditional media, and political parties play and how do they interact with each other?
    Is there a geographical variation in the content, meaning, and sentiment contained in social text?
    How does opinion polarization occur online and how does misinformation spread?
    How do discourse dynamics in local contexts (e.g. neighborhoods) interact with real-world events (e.g. crime) and outcomes (e.g. residential segregation)?

To answer these and related questions, the research team combines quantitative and qualitative methods for the computational analysis of text with temporal analyses for causal inference.

Researchers

As many of the studied mechanisms defy disciplinary boundaries, the project approach is interdisciplinary and considers theoretical concepts from several social-science disciplines. The project brings together methodologically-oriented specialists of computational text analysis with social scientists attuned to the political process and the study of social dynamics to enable a novel combination of social-science theorizing and computational text analysis.

Projektledare: Marc Keuschniggexternal link

PhD, Associate Professor at the Institute for Analytical Sociology, Linköping University

Sophie Mützelexternal link

PhD, Professor of Sociology, Media and Networks at the University of Lucerne, Switzerland

Måns Magnussonexternal link

PhD, Postdoctoral Researcher at the Aalto University, Finland

Benjamin Jarvisexternal link

PhD, Director of the MSc program in Computational Social Science at the Institute for Analytical Sociology, Linköping University

Sarah Valdezexternal link

PhD, Associate Director of the Institute for Analytical Sociology, Linköping University

Etienne Ollionexternal link

PhD, Associate Professor and permanent researcher at the Centre National de la Recherche Scientifique (CNRS France)

Miriam Hurtado Bodellexternal link

PhD student at the Institute for Analytical Sociology, Linköping University

Weronica Söderström

Research Assistant and MSc student of Computational Social Science at the Institute for Analytical Sociology, Linköping University

Parastoo Mojabi
Research Assistant and MSc student of Computational Social Science at the Institute for Analytical Sociology, Linköping University




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