Twitter data in R

Slides | All course materials Earlier this month, I taught my two-day course on working with Twitter data in R, at the University of Lucerne. This was part of a Master’s Programme in Computational Social Science, LUMACSS. This course is designed as an introduction to collecting, cleaning, and analysing Twitter data — without having to apply for a developer account. You can find the course material at GitHub. The slides are better viewed here on my website.

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Web scraping in R

Click here for the slides, and here for all the course materials. I recently organised a short course on web scraping in R, as part of a Master’s Programme in Computational Social Science, at the University of Lucerne. I have built a website and a Shiny app just for this course, to facilitate learning. These are tailored for the exercises in the course. You can find other course material at GitHub.

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Latest publications

  • Resul Umit (2022) Solar panels and political attitudes. Political Studies Review, 20(3), 525–533. Abstract DOI  pdf code
  • Lena Schaffer, Resul Umit (2022) Public support for national vs. international climate change obligations. Journal of European Public Policy. Abstract DOI  pdf code
  • Resul Umit, Lena Schaffer (2022) Wind turbines, public acceptance, and electoral outcomes. Swiss Political Science Review. Abstract DOI  pdf code

Unpublished research

  • Resul Umit (2019) Unfulfilled winning expectations decrease voter satisfaction with democracy. Abstract DOI  pdf
  • Resul Umit, Melek Zağralı (2015) The Turkish repeat elections of November 2015. Abstract  pdf