Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Is the workshop geared at an exclusively German or an international audience? International audience
Workshop language: English
Description of the content of the workshop: This workshop provides an overview about Twitter data and how to collect and analyze it using R. Participants learn how to access Twitter’s API in order to collect data for their own research projects. A number of examples illustrate how to preprocess and analyze the content and meta-information of Tweets. Participants are encouraged to have their own installation of R ready in order to take part in the practical exercises.
Goals of the workshop: Learning Goals: 1) Getting a better understanding of Twitter data, and thus, the potentials and limitations of using it in research projects. 2) Being able to collect Twitter data using R, and 3) Being able to perform explorative analyses of the data using R
Necessary prior knowledge of participants: Basic knowledge in R or any other statistical software/language (SPSS, Stata, SAS, Python)
Literature that participants need to read prior to participation: none
Recommended additional literature: none
Information about the instructors: Dorian Tsolak is a PhD candidate at Bielefeld University. His research interests cover stereotypes, racism and migration across the field of computational social science. Stefan Knauff is a master student at Bielefeld University interested in methods of computational sociology and research on inequality and globalization.
Maximum number of participants: 20
Will participants need to bring their own devices in order to be able to access the Internet? Will they need to bring anything else to the workshop? No.
