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Curricular information is subject to change
This module introduces students to core concepts and central debates in the multidisciplinary field of political communication. Students will gain a solid understanding of the relationship between (social) media content and political events and they will be able to identify key methodological challenges to studying media effects on the public. Furthermore, students will learn to use the R statistical language to perform basic, descriptive analysis of digitized media content originating from mass media outlets or social media networks.
Student Effort Type | Hours |
---|---|
Lectures | 12 |
Computer Aided Lab | 12 |
Autonomous Student Learning | 196 |
Total | 220 |
Students who attempt this module must have completed POL 20050 Research Methods in Political Science.
This module is in part based on lab sessions around computational text mining methods to examine political news content. Students who attempt this module should have an interest in learning how to work with such methods.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Continuous Assessment: Individual writing assignment | Unspecified | n/a | Graded | No | 30 |
Continuous Assessment: Individual coding assignment | Unspecified | n/a | Graded | No | 30 |
Group Project: Group writing assignment | Unspecified | n/a | Graded | No | 40 |
Resit In | Terminal Exam |
---|---|
Summer | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Feedback will be provided to students within 20 working days of the deadline for the assignment in accordance with university policy.