Everything you need for APC Introduction to Communication Science in the winter semester 2020 / 2021.
This course may be conducted offline or online depending on the situation of the students. The final decision in this regard is yet to be made.
Please enrol yourself.
Thursdays, 13:00 - 14:30
For the forseeable future, this class will be conducted online via WebEx and moodle. Please check your e-mails regularly.
- Teacher: Marius Becker
Here you may find material from the APC-course: Media reception and effects
- Teacher: Christina Schumann
Teacher: Priscila Berger
This is an academic preparation course. Students who were advised to take this course should enroll.
Here on the course page, you will find the course information, materials, and assignments to be completed.
Online activities should be followed regularly.
- Teacher: Priscila Berger
In this course, we will work on current approaches in media reception and effects research. In particular, we will tackle the following topics:
- Permanently Online/ Permanently Connected (Digital Stress)
- Algorithms as new actors in communication sciences: Filter Bubbles, Echo Chambers and Personalization
- Fake News and Misinformation
- Hostile Media
- Description of lesson 1: In perparation, each participant will have to read a text (provided on moodle) and will have to answer questions and/or propose topics for in-class-discussions (submission on moodle). In class, we will vote for one or more proposals (= discussion of the week) and prepare in class statements that will form the base of the discussion.
- Description of lesson 2: Teams of students (will be determined in the introductory meeting) will design a meeting on their own. This comprises of two tasks: First, a "traditional" presentation for deepening the respective topic. Second, an "interactive format", that helps to transfer the scientific/theoretical knowledge in a practical context. Didactical elements can be quizzes, roleplays, simulation of press conferences, brainstorming for campaign ideas etc.
- Active participation in class
- Text-reading and timely submission of written homework (moodle)
- Literature review and presentation in class (online)
- Creation and conduction of one lesson with interactive online elments
- Written term paper (format: literature review; or other upon consultation, submission on moodle)
This is a continuous research module for MCS master students, new students for the WS2020/21 are not admitted.
The seminar will start on the 28th of October at 16:30-18:45 via Webex.
Learning-forms: self-learning (extensive literature review), lecture presentations with audio, video-conferencing via webex
Description: The aim of the seminar is to provide an introduction to concepts, procedures, strategies, and execution of quantitative comparative content analysis on European discourse on immigration. Immigration continues to be one of the most prominent political issues in European societies. Yet individual Member States may perceive and deal with migration differently. In fact, public discourse on immigration may depend on contextual environments that affect communication outcomes, e.g., different periods in time, county's migration history, migration policies, or media systems. The main function of mass media is to report on important events and developments in society, subsequently, news coverage on immigration makes an important contribution to the public debate about immigration. Through this mechanism, news content (visibility, attributes, actors) can act as a source of information and social learning in order to enhance citizens' experience with migration issue.
The goal of this seminar is twofold: (1) Starting with an overview of the characteristics and the process of quantitative media content analysis, we will discuss in detail the structure of and requirements for category systems, procedure for the development of category systems, classification of coding units; we will learn and test coding; review and revise the category system. In the second semester, (2) we will carry out a (semi-automatic) media content analysis, by combining manual and supervised machine learning techniques. We will compare how constructs of social reality of immigration that mass media form differ across different countries (comparative perspective) and time periods (longitudinal perspective) to account for the fact that systems and cultures are not frozen in time.
Learning objectives: (1) be familiar with different quantitative content analysis methods and the research questions that one can answer by implementing them; (2) know the methodological and practical challenges of realizing comparative longitudinal content analysis research.
Prerequisites: (1) basic knowledge of quantitative research methods in communication science; (2) basic knowledge of statistics; (3) this seminar does not require any prior knowledge of supervised machine learning
Grading: presentations 40%, participation 40%, final paper 20%
- Teacher: Maija Ozola