| Kommentar |
Summary of seminar
Automated content analyses, i.e., (semi-)automated analysis of text, are becoming an increasingly important method in communication science. In this course, students will learn how to apply different methods of automated content analysis using R and other tools. Moreover, students will conduct their own analyses within a small project. Basic knowledge of programming languages such as R is required.
Learning goals
- Students will learn basic knowledge of the method of “automated content analysis” and will be able to conduct their own automated content analysis by writing corresponding functions.
- Students can apply this knowledge to independently conduct automated content analyses using data on political news. Given predefined research questions/hypotheses, they develop a suitable operationalization via R, conduct descriptive analyses/statistical tests to answer these questions/test hypotheses, and critically interpret results.
- Students will be able to critically discuss current research on the topic of automated content analyses, summarize its strengths and weaknesses, and evaluate it.
- Students will be able to engage in factual and competent discussions. They are able to communicate their acquired knowledge alone and in groups in a comprehensible and structured manner, both orally and in writing. They can also work in groups, resolve potential conflicts, and organize themselves. |
| Bemerkung |
Studierende nach PO 2021
Bitte beachten Sie, dass die Prüfungsanmeldung in dieser Veranstaltung grundsätzlich nur möglich ist, wenn die folgenden Module zum Zeitpunkt der Prüfungsanmeldung erfolgreich abgeschlossen sind.
Grundlagen der Statistik (KW-MG-ST)
Empirische Forschungsmethoden (KW-MG-FM)
Wissenschaftliches Arbeiten (KW-SQ-WA) |
