Managing Temporal Dynamics of Filter Bubbles

dc.contributor.author Hirschmeier, Stefan
dc.date.accessioned 2021-12-24T17:26:05Z
dc.date.available 2021-12-24T17:26:05Z
dc.date.issued 2022-01-04
dc.description.abstract 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 co-creation of information flows between information broadcaster and listener.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.133
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79465
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Accountability, Evaluation, and Obscurity of AI Algorithms
dc.subject audio streaming
dc.subject filter bubble
dc.subject temporal dynamics
dc.title Managing Temporal Dynamics of Filter Bubbles
dc.type.dcmi text
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