University of Gothenburg
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  4. Studying Opinions and Populations in Online Text Data

Studying Opinions and Populations in Online Text Data

Research project
Active research
Website
Linguistic Explorations of
Societies
Project size
9 520 000
Project period
2018 - 2022
Project owner
Stefan Dahlberg
Research partners
Gavagai
GESIS Leibniz Institute for the Social
Sciences
Mid Sweden
University
RISE
Södertörn
University
University of
Bergen
Financier
Swedish Research Council
Area
Culture and
languages
Science and Information
Technology
Topic
Political
Science
Media and Communication
Technology
Computer
Science
Language Technology (Computational
Linguistics)

Short description

The research project Studying Opinions and Populations in Online Text Data focuses on critical methodological issues for researchers applying online text data in a comparative survey setting. The project uses NLP techniques in conjunction with large-scale survey experiments to assess the validity and reliability of online text data for the purpose of improving comparative survey research.

Exploring issues of data distribution and access, availability and representativity of data sources as well as data ownership and privacy, we seek to provide a state-of-the-art account on how to use online text data in relation to existing survey data.

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