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De-Fiktionalisierung und De-Faktualisierung: Strategien der medialen Darstellung von realen Robotern am Beispiel von Boston Dynamics und Hanson Robotics
Publikationstyp
Book Part
Date Issued
2024-12-01
Sprache
German
Author(s)
Herausgeber*innen
Preußer, Heinz-Peter
Schlickers, Sabine
Start Page
213
End Page
231
Citation
in: Heinz-Peter Preußer & Sabine Schlickers (ed.) Authentizität in fiktionalen und faktualen Medien, Marburg: Schüren Verlag 2024.
Publisher DOI
Publisher
Schüren-Verlag
ISBN
978-3-7410-0478-0
978-3-7410-0351-6
The rapid advancements in artificial intelligence (AI) and robotics increasingly raise questions about the roles these technologies will play in our daily lives. Public understanding is significantly shaped by media representations that influence our perceptions of AI and robots. Historically, these perceptions are deeply rooted in a tradition of fictional narratives, ranging from ancient myths to modern science fiction. These cultural narratives serve as a collective memory, shaping how contemporary technological developments are received. Simultaneously, non-fictional representations, such as journalistic reports, advertising campaigns, and social media content, also play a crucial role in constructing the public image of AI and robotics. In particular, videos purporting to showcase the real capabilities of robots raise questions about their authenticity and the economic motives behind these portrayals.
This paper examines two strategies of media representation that deliberately blur the boundaries between fact and fiction: de-fictionalization and de-factualization. Both concepts aim to complicate the audience's ability to distinguish between reality and fabrication, warranting critical scrutiny. Through the analysis of these strategies, this study highlights how they shape the perception of robots and AI and explores the challenges they pose for media studies research and societal discourse.
This paper examines two strategies of media representation that deliberately blur the boundaries between fact and fiction: de-fictionalization and de-factualization. Both concepts aim to complicate the audience's ability to distinguish between reality and fabrication, warranting critical scrutiny. Through the analysis of these strategies, this study highlights how they shape the perception of robots and AI and explores the challenges they pose for media studies research and societal discourse.
Subjects
robots
AI
media
fiction
authenticity
DDC Class
006.3: Artificial Intelligence