This repository contains the materials for workshops held at the MZES Social Science Data Lab, at the Connected_Politics Lab, at the media and communication department at the LMU Munich, at the Digital Society Initiative of the University of Zurich, and at the CCS Research Group at TU Illmenau.
The wide-reaching and still growing digitalization of communication raised a demand for internationally, cross-lingually comparative research. In this workshop, participants learn the main approaches and strategies for studying social science related concepts in multilingual text collections with automated content analysis methods. The workshop focuses on aspects relevant for applying these methods to compare concepts across socio-political contexts. The workshop includes hands-on exercises with R.
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Slides:
workshop_slides.pdf -
Example text data sets with migration and climate texts.
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Code: R scripts.
Materials for a three day course on the topic (including R and Python code) compiled by Hauke Licht and Fabienne Lind are collected in this this repository
OPTED Living hub a knowledge base for multilingual computational text analysis.