Universität Wien
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220037 VO SPEZI: VO INNO Media Innovation (2024W)

3.00 ECTS (2.00 SWS), SPL 22 - Publizistik- und Kommunikationswissenschaft
Moodle
We 22.01. 13:15-14:45 Hörsaal 1, Währinger Straße 29 1.UG

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Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 09.10. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 16.10. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 23.10. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 30.10. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 06.11. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 13.11. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 20.11. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 27.11. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 04.12. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 11.12. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 08.01. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 15.01. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG

Information

Aims, contents and method of the course

Chatbots, AI influencers, Social Media. Artificial Intelligence (AI) and other media innovations have long found their way into everyday life. While AI brings numerous advantages such as task automation and efficient information processing, the use and reception of AI-generated or curated content also come with many risks and dangers. Examples include stereotypes and biases in AI-generated content, political polarization on social media platforms, or misinformation through so-called deepfakes (AI-generated fake videos). This lecture deals with theoretical approaches, concepts, and phenomena related to media innovation, covering the impact of media innovations on the levels of media systems and structures, media actors and formats, as well as media users.

Assessment and permitted materials

Written exam (on-site)
Question type: Multiple choice

Minimum requirements and assessment criteria

Grading scale:
87,51% to 100%: Very good;
75,01% to 87,50%: Good;
62,51% to 75,00%: Satisfactory;
50,01% to 62,50%: Poor;
0,00% to 50,00%: Insufficient

Examination topics

The exam pertains to the material discussed in the lecture. Students are expected to independently make connections between the various course contents.

Reading list

Will be announced in the lecture.

Association in the course directory

Last modified: Mo 28.10.2024 16:26