Studying Opinions and Populations in Online Text Data

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.