Title:	Mining for Meaning: The Dynamics of Public Discourse on Migration
DNr:	SNIC 2021/5-161
Project Type:	SNIC Medium Compute
Principal Investigator:	Marc Keuschnigg <marc.keuschnigg@liu.se>
Affiliation:	Linköpings universitet
Duration:	2021-04-01 – 2022-04-01
Classification:	50401 10208
Homepage:	https://liu.se/en/research/computational-text-analysis
Keywords:

Abstract

Our sociological project "Mining for Meaning: The Dynamics of Public Discourse on Migration" uses large corpora of text as social sensors to measure what people feel, think, and talk about, which allows us to track the emergence of shared social understandings. In the wake of digitization, social-media platforms, newspaper repositories, and machine-readable political documents, have become digital archives of public sentiment. Our international and interdisciplinary group---with researchers from Linköping University, Uppsala University, the University of Lucerne, and the Institut Politechnique de Paris---analyzes such data to mine for the meaning embedded in these texts. In particular, we seek to understand the emergence and transformation of the public debate on immigration in Sweden. Our aim with this project is to understand the processes by which issues surrounding migration and integration are framed by different social groups, media outlets, and political parties, which we hope allows for evidence-based policy recommendations that tackle key challenges of integration. This project will be a continuation of the current project SNIC 2020/05-145.