Universität Wien
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220050 VO SPEZI: VO SOME B Theories and Practices of Social Media Communication B (2025W)

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 17.10. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 24.10. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 31.10. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 07.11. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 14.11. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 21.11. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 28.11. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 05.12. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 12.12. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 19.12. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 09.01. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 16.01. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 23.01. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Friday 30.01. 09:45 - 11:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum

Information

Aims, contents and method of the course

How do TikTok, YouTube, Substack and Instagram really work? Who decides what is visible – and who profits from it? The SOME B course offers an in-depth insight into the logic, business models and control mechanisms of leading social media platforms. The focus is on how content is produced, distributed and evaluated on platforms such as YouTube, TikTok, Instagram, Substack, X (Twitter), LinkedIn and Mastodon. Particular attention is paid to the influence of artificial intelligence – from algorithmic visibility to AI-generated content – and to the question of what role Europe can play in the platform world of the future.
Using specific platforms, we will work together to explore how monetisation, content strategies and recommendation systems interact – and how these systems are changing under the influence of new EU regulations (DSA, DMA, AI Act, GDPR). We will also take a look at alternative models: what could a digital ecosystem that is democratic, transparent and sovereign look like?
The course combines short inputs with discussions, tool demos, interactive exercises and reflection sessions. If you want to think, talk and shape things, this is the place for you.

The following topics will be covered, among others:
* Platform logic in transition: from social graph to interest graph
* Monetisation and content evaluation: CPM, creator funds, subscription models, recommendation algorithms
* Automated visibility: bots, recommender systems and the influence of agent systems
* The use of generative AI in content production
* European perspectives on platform regulation: DSA, DMA, AI Act, GDPR and Accessibility Act
* Alternative models for digital public spheres: decentralised networks, open source, digital sovereignty
The course combines analytical theory with practical applications. In addition to short inputs and tool demonstrations, interactive methods such as group work, platform analyses, prompt labs, discussions and live polls are used. Students thus acquire sound skills for careers in digital communication management, platform analysis or the political-regulatory environment – and develop a critical understanding of the power structures of the digital media world.

Assessment and permitted materials

Multiple choice and free text entry exam & optional exercises
The exam consists of 50 questions that cover the entire curriculum, including the role of AI in social media. If online exams are necessary, the exam will be conducted as a written online exam with ten questions. The exam will be taken together with the SOME A part.

Minimum requirements and assessment criteria

To receive a positive assessment, you must answer at least 50% of the questions correctly on the exam. Optional exercises can reduce the required score for a positive assessment by up to 10%.

grade distribution
100.00% - 87.00% 1st
86.99% - 75.00% 2nd
74.99% - 63.00% 3rd
62.99% - 50.00% 4th
49.99% - 0.00% 5th

Examination topics

Examination material is the entire content of the lecture, as well as the specified compulsory literature.

Reading list

Mazzucato, M. (2013). The Entrepreneurial State: Debunking public vs. private sector myths. London, UK: Anthem Press.
en.wikipedia.org

Mazzucato, M. (2021). Mission Economy: A Moonshot Guide to Changing Capitalism. London, UK: Allen Lane.
cambridge.org

Nowotny, H. (2021). In AI We Trust: Power, Illusion and Control of Predictive Algorithms. Cambridge, UK: Polity Press.
ACM Digital Library

Zuboff, S. (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York, NY: PublicAffairs.
Colorado Mountain College

Association in the course directory

Last modified: Fr 07.11.2025 08:47