Universität Wien
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220027 VO SPEZI: VO INNO Medieninnovation (2019W)

3.00 ECTS (2.00 SWS), SPL 22 - Publizistik- und Kommunikationswissenschaft
Moodle

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Details

Sprache: Englisch

Prüfungstermine

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Dienstag 08.10. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 15.10. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 22.10. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 29.10. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 05.11. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 12.11. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 19.11. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 26.11. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 03.12. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 10.12. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 17.12. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 07.01. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 14.01. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
  • Dienstag 21.01. 17:45 - 19:15 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The digital revolution is having a profound impact on the way news stories are written and received by individuals. Today’s communicators and recipients must master a wide variety of new technologies. This course will focus on the challenges of technological innovations in the world of media.

This course will cover a number of issues that relate to the student of communication science, among them:
An exploration of digital/multimedia journalism and its impact on traditional media
New communication science theories – “Self-Effects”, “News-Finds-Me Perception”
Virtual Augmented Reality
Algorithmic Journalism & Machine Learning
Algorithmic Social Media / Incidental Exposure based on Social Media Recommendations / Echo Chambers
Artificial Intelligence
Agent-Based Modelling

Today’s media consumption requires mastering multiple technologies. The main goals of this course are:
1. To develop skills to better analyze the ​impact of new technologies on traditional journalism, mainstream media, and social media
2. To differentiate between opportunities and risks of new technologies regarding their impact on society and individuals
3. To learn new communication science theories regarding innovations in the media sector
4. To understand the Internet and social media as a publishing platform.
5. In addition, you will gain personal insight and self-knowledge about your role in the field of journalism.

The course and the exam will be held in English.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Assessment will be based on the following course requirement:
Final Exam: 100%

The course and the exam will be held in English.

UPDATE DUE TO COVID-19 MEASURES:
The examination on 23 June 2020 will be held online on Moodle. There will be 8 short-answer questions worth 5 points each and 2 open-ended questions worth 30 points each. Please read the announcements on Moodle regularly for details and updates.

Mindestanforderungen und Beurteilungsmaßstab

The grading scheme reads as follows:
A = 1 (Very Good): 87 - 100%
B = 2 (Good): 75 - 86,99%
C = 3 (Satisfactory): 63 - 74,99%
D = 4 (Enough): 50 - 62,99%
F = 5 (Not Enough): 00 - 49,99%

Prüfungsstoff

The exam accounts for 100% of your total grade. The exam will include both MC and open questions that will be based on the material presented in class. The first chance to take the exam will take place on Tuesday, January 28th at regular class time.

UPDATE DUE TO COVID-19 MEASURES:
The examination on 23 June 2020 will be held online on Moodle. There will be 8 short-answer questions worth 5 points each and 2 open-ended questions worth 30 points each. Please read the announcements on Moodle regularly for details and updates.

Literatur

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Do 31.10.2024 00:14