KI-Bilder und die Widerst\"andigkeit der Medienkonvergenz: Von prim\"arer zu sekund\"arer Intermedialit\"at?
Lukas R.A. Wilde

TL;DR
This paper examines the integration of AI-generated images into media convergence, highlighting the complex intermediality stages and the current limitations of seamless integration within various media forms.
Contribution
It offers a nuanced analysis of primary and secondary intermediality concepts, applying them to AI images and discussing their role in social media and fan cultures.
Findings
AI images are not seamlessly integrated into media landscapes.
Current use of AI images is mostly staged and deliberate.
AI image circulation influences media ecology and image interpretation.
Abstract
The article presents some current observations (as of April 10, 2024) on the integration of AI-generated images within processes of media convergence. It draws on two different concepts of intermediality. Primary intermediality concepts are motivated by the object when a new type of technology develops the potential to become socially relevant as a media form and thus a socially, politically, or culturally important communicative factor. Due to their uncertain 'measurements' within the wider media ecology, however, the new, still potential media form appears hybrid. The "inter-" or "between-" of this initial intermediality moment thus refers to the questionable "site" and the questionable description of the potential media form between already existing technologies and cultural forms and their conceptual measurements. For secondary concepts of intermediality, in contrast, it can be…
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Taxonomy
TopicsDigital Games and Media · Media Studies and Communication · Digital Innovation in Industries
