Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Student understands how the political is embedded into digital interfaces.
Student can use concepts and methods from both in human-computer interaction and political science to describe the phenomena and illustrate how they complement each other.
Student can critically evaluate and examine digital interfaces and their implications to politics and democracy.

Credits: 5

Schedule: 07.01.2025 - 11.02.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Matti Nelimarkka

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    The course provides an overview to the emerging field of political human-computer interaction. Students will engage in cross-disciplinary comparisons to understand political human-computer interaction, that is, read how both political scientists and human computer interaction scholars have examined topics such as

    political polarization
    fake news
    discussion about politics
    social movements
    deliberation
    administrative systems and bureaucracy
    governance

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn I - Spring V
    2025-2026 Autumn I - Spring V

    Registration:

    Priority to Information Networks M.Sc. students.