Text as data: Quantitative text analysis for political science and public policy

Fake news, disinformation and propaganda influence elections and increase political polarisation. Parliamentary debates, party manifestos and public engagement promote informed politics, robust democracy and improved public policy. Increasingly, large volumes of textual data underpin both of these trends.

This course covers theoretical concepts of treating text as data in the context of social science research. The course also provides a hands-on introduction to statistical methods to generate insights from text data using open source libraries in R.

This course is for 2nd year MIA and MPP students only.