Ipad and newspapers

Doctoral project: Migration discourse in the Swedish mainstream and social media

The project studied migration discourse in the Swedish mainstream and social media in the last decade. Using the methods of network and text analysis, the project aimed to examine the discourse dynamics against the background of the European refugee crisis in 2015 and analyzed the role of participatory media in the shaping of public debate on migration in Sweden.

Project information

Doctoral student
Victoria Yantseva
Giangiacomo Bravo
Linnaeus University
Sociology (Department of Social Studies, Faculty of Social Sciences)
Frames of threat and solidarity: Dynamics of media discourse on immigration in Sweden

More about the project

The project aims to make a systematic analysis of media discourse about migration in Sweden in the last decade. To meet this goal, the project uses large-scale textual data collected from a variety of media resources, such as mainstream newspapers, social media (Twitter and Facebook), and online forums.

On the one hand, the project explores how the internal architecture of modern media contributes to the formulation of public debate about migration. On the other hand, the project focuses on an external event represented by the refugee crisis and how it intervened with the overall discourse dynamics in the Swedish media. Ultimately, the project aims to understand how these internal and external factors affect the framing and construction of the immigration agenda in Sweden.

The methodological framework of the project includes a variety of text analytic methods, such as sentiment analysis, topic modeling, word embeddings and machine learning, which helps to gain insight into the content and sentiments of the documents published in the media resources. Text analytic methods are further complemented with social network analysis and the study of communication patterns among social media users.

The project is part of the research in Computational Social Sciences (CSS) and in Linnaeus University Centre for Data Intensive Sciences and Applications (DISA).