Translating Editorial Work into Algorithms for Personalized Radio Streams

Hirschmeier, Stefan; Beule, Vanessa; Tilly, Roman

doi:10.1080/19376529.2019.1704760

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Co-creating the Bubble Data1

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2022

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Cited by 2 publications

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“…The explicit or implicit feedback that users give to recommended items can already be seen as a form of value co-creation [54]. The user actively or passively discloses information that is of use to render information more individually towards him/her.…”

Section: Co-creating the Bubble Datamentioning

confidence: 99%

Managing Temporal Dynamics of Filter Bubbles

Hirschmeier¹

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Filter bubbles have attracted much attention in recent years in terms of their impact on society. Whereas it is commonly agreed that filter bubbles should be managed, the question is still how. We draw a picture of filter bubbles as dynamic, slowly changing constructs that underlie temporal dynamics and that are constantly influenced by both machine and human. Anchored in a research setting with a major public broadcaster, we follow a design science approach on how to design the temporal dynamics in filter bubbles and how to design users' influence over time. We qualitatively evaluate our approach with a smartphone app for personalized radio and found that the adjustability of filter bubbles leads to a better cocreation of information flows between information broadcaster and listener.

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Section: Co-creating the Bubble Datamentioning

confidence: 99%