IS 618: Social Media Data Analysis
Contents
This module aims to provide students with the analytical skills and methodological tools needed to collect, process, and analyze web and social media data for social and economic research applications.
Learning outcomes
Students will learn how to collect and analyze social media data from a variety of platforms including Reddit, Wikipedia and Tiktok for the purpose of studying societally relevant question (MK1). They will learn about platform affordances of the social media platforms generating this data and its impact (MK2).
Competence:
Students will develop quantitative data analysis skills tailored to analyzing unstructured social media data, e.g., applied text analysis and network analysis (MF3). Students will learn social media data-related concepts by executing a project (MF1).
Necessary prerequisites
Knowledge of Basic Python Programming
Recommended prerequisites
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| Forms of teaching and learning | Contact hours | Independent study time |
|---|---|---|
| Lecture | 2 SWS | 7 SWS |
| Exercise class | 2 SWS | 6 SWS |
| ECTS credits | 6 |
| Graded | yes |
| Workload | 180h |
| Language | English |
| Form of assessment | Project presentation (30%) and report (50%), class participation (20%) |
| Restricted admission | yes |
| Further information | Website of the Chair / “Student Portal“ |
Examiner Performing lecturer |  | Prof. Dr. Markus Strohmaier Dr. Indira Sen |
| Frequency of offering | Spring semester |
| Duration of module | 1 semester |
| Range of application | M.Sc. MMM, M.Sc. WiPäd, M.Sc. VWL, M.Sc. Wirt. Inf. |
| Preliminary course work | – |
| Literature | Sloan, Luke, and Anabel Quan-Haase. „The SAGE handbook of social media research methods.“ (2022): 1–100. 2. Ngai, Eric WT, Spencer SC Tao, and Karen KL Moon. „Social media research: Theories, constructs, and conceptual frameworks.“ International journal of information management 35.1 (2015): 33–44. |