– Wickham, Hadley and Garrett Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, O'Reilly Media
– Jürgens, Pascal and Andreas Jungherr. 2016. A Tutorial for Using Twitter Data in the Social Sciences: Data Collection, Preparation, and Analysis (Available at SSRN: ssrn.com/abstract=2710146)
– Twitter developer documentation: developer.twitter.com/en/docs
The wave of digitalization has changed the way of governance. Public authorities utilize their online channels in diverse way, e.g., announcing the policy, participating in public discourse, communicating with public etc. This course introduces technical skills to collect and analyze such digital footprints. More concretely, this course introduces Twitter API and provides multiple examples of collecting and analyzing Twitter data in R. The course will start with general introduction of Twitter's API, available data and limitations. Subsequently, participants will learn how to collect diverse types of Twitter data (e.g., user timelines, tweets including certain keywords). To analyze collecting data, the course will discuss summary statistics of interested features, text analysis and simple network analysis (e.g. retweet network). Along with the data analysis, diverse possibilities for visualization will be demonstrated as well. During the course, students collect and analyze Twitter data based on their own research question (individually or in a small group). At the end of the course, students submit a report that summarize the process of data collection and analysis results. The course is held in English. Previous experience in R is preferable but not required.
The course is part of admission "Anmeldung gesperrt (global)".
Erzeugt durch den Stud.IP-Support Settings for unsubscribe: