Contemporary issues and debates in media studies
7.5 ECTS creditsThe course comprises the following research areas and theoretical approaches:
The course aims towards a general understanding of the recent theoretical developments and research areas pertaining to infrastructures in media and communication studies. It covers the conceptual vocabulary of infrastructures, platforms, news organizations, and generative AI in an increasingly globalized media landscape.
The various lectures of the course deepen students' understanding of algorithms, data typologies, audiovisual cultures, generative AI and metrics. Special emphasis is placed on media practices and online experiences as well as digital behaviour and media effects against the backdrop of their underlying technical infrastructures. The course also provides an overview of the functionalities, affordances and structures of the most relevant social media platforms and skills in critically analysing the data flows between them. Students will learn to identify connections between datafication and processes of social sorting and categorisation, and engage in critical discussion of inequalities and their societal consequences. Students will become familiar with become familiar with current debates about generative AI, free speech, gender and diversity. Instruction is in the form of lectures, workshops, seminars, and supervised group work.
The course aims towards a general understanding of the recent theoretical developments and research areas pertaining to infrastructures in media and communication studies. It covers the conceptual vocabulary of infrastructures, platforms, news organizations, and generative AI in an increasingly globalized media landscape.
The various lectures of the course deepen students' understanding of algorithms, data typologies, audiovisual cultures, generative AI and metrics. Special emphasis is placed on media practices and online experiences as well as digital behaviour and media effects against the backdrop of their underlying technical infrastructures. The course also provides an overview of the functionalities, affordances and structures of the most relevant social media platforms and skills in critically analysing the data flows between them. Students will learn to identify connections between datafication and processes of social sorting and categorisation, and engage in critical discussion of inequalities and their societal consequences. Students will become familiar with become familiar with current debates about generative AI, free speech, gender and diversity. Instruction is in the form of lectures, workshops, seminars, and supervised group work.
Progressive specialisation:
G1F (has less than 60 credits in first‐cycle course/s as entry requirements)
Education level:
Undergraduate level
Admission requirements:
Students enrolled in the courses MKGA90 Professional Role, Law, and Ethics (7.5 credits), MKGA91 Media Audiences in the Digital Age (7.5 credits), and MKGA92 Social Media and Social Theories (7.5 credits), of which 10 credits have been completed, or enrolled in MKGB62 Strategic Digital Communication 30 credits, of which 10 credits have been completed. Equivalency assessment may be performed.
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.