Universität zu Köln

Hirschmeier, Stefan, Beule, Vanessa and Tilly, Roman (2022). Translating Editorial Work into Algorithms for Personalized Radio Streams. J. Radio Audio Media, 29 (2). S. 211 - 233. ABINGDON: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD. ISSN 1937-6537

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Abstract

When providing on-demand content on the internet, radio broadcasters risk losing the inherent flow of radio programs. Radio broadcasters have to understand how to automate editorial decisions and how to integrate them into personalized playouts. We conducted qualitative content analysis on radio content to identify sequences using pattern mining techniques. Based on the patterns of radio shows we identified, we propose an approach for automating editorial decisions to leverage the potential of value co-creation between broadcaster (in form of editorial value) and listener (in form of personalized content) in interactive internet radio.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Hirschmeier, Stefan UNSPECIFIED UNSPECIFIED UNSPECIFIED Beule, Vanessa UNSPECIFIED UNSPECIFIED UNSPECIFIED Tilly, Roman UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-666084
DOI:	10.1080/19376529.2019.1704760
Journal or Publication Title:	J. Radio Audio Media
Volume:	29
Number:	2
Page Range:	S. 211 - 233
Date:	2022
Publisher:	ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Place of Publication:	ABINGDON
ISSN:	1937-6537
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SERVICE-DOMINANT LOGIC; INNOVATION; FUTURE; AGE Multiple languages Communication Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/66608