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Technology-facilitated Societal Consensus
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. (Interactive and Intelligent Systems Group)ORCID-id: 0000-0002-6458-2252
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. AI-Robolab/ICR Computer Science and Communications University of Luxembourg Esch-sur-Alzette, Luxembourg.ORCID-id: 0000-0001-7784-6176
2019 (Engelska)Ingår i: UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization, Larnaca, Cyprus: ACM Digital Library, 2019, s. 3-7Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The spread of radical opinions, facilitated by homophilic Internet communities (echo chambers), has become a threat to the stability of societies around the globe. The concept of choice architecture-the design of choice information for consumers with the goal of facilitating societally beneficial decisions-provides a promising (although not uncontroversial) general concept to address this problem. The choice architecture approach is reflected in recent proposals advocating for recommender systems that consider the societal impact of their recommendations and not only strive to optimize revenue streams. However, the precise nature of the goal state such systems should work towards remains an open question. In this paper, we suggest that this goal state can be defined by considering target opinion spread in a society on different topics of interest as a multivariate normal distribution; i.e., while there is a diversity of opinions, most people have similar opinions on most topics. We explain why this approach is promising, and list a set of cross-disciplinary research challenges that need to be solved to advance the idea.

Ort, förlag, år, upplaga, sidor
Larnaca, Cyprus: ACM Digital Library, 2019. s. 3-7
Nyckelord [en]
Choice architecture, Recommender systems, Persuasion
Nationell ämneskategori
Människa-datorinteraktion (interaktionsdesign)
Forskningsämne
människa-datorinteraktion
Identifikatorer
URN: urn:nbn:se:umu:diva-158477DOI: 10.1145/3314183.3323451ISBN: 978-1-4503-6711-0 (tryckt)OAI: oai:DiVA.org:umu-158477DiVA, id: diva2:1307601
Konferens
UMAP 2019: The 27th ACM Conference on User Modelling, Adaptation and Personalization, Larnaca/Cyprus, June 9-12, 2019
Forskningsfinansiär
Wallenberg AI, Autonomous Systems and Software Program (WASP)Tillgänglig från: 2019-04-28 Skapad: 2019-04-28 Senast uppdaterad: 2019-07-17Bibliografiskt granskad

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Kampik, TimotheusNajjar, Amro

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