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Algorithmically mediating communication to enhance collective decision-making in online social networks

Burton, Jason W and Almaatouq, Abdullah and Rahimian, M Amin and Hahn, Ulrike (2024) Algorithmically mediating communication to enhance collective decision-making in online social networks. Collective Intelligence, 3 (2). ISSN 2633-9137

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Abstract

<jats:p> Digitally enabled means for judgment aggregation have renewed interest in “wisdom of the crowd” effects and kick-started collective intelligence design as an emerging field in the cognitive and computational sciences. A keenly debated question here is whether social influence helps or hinders collective accuracy on estimation tasks, with recent results on the role of network structure hinting at a reconciliation of seemingly contradictory past results. Yet, despite a growing body of literature linking social network structure and collective accuracy, strategies for exploiting network structure to harness crowd wisdom are underexplored. We introduce one such strategy: rewiring algorithms that dynamically manipulate the structure of communicating social networks. Through agent-based simulations and an online multiplayer experiment, we provide a proof of concept showing how rewiring algorithms can increase the accuracy of collective estimations—even in the absence of knowledge of the ground truth. However, we also find that the algorithms’ effects are contingent on the distribution of estimates initially held by individuals before communication occurs. </jats:p><jats:sec><jats:title>CCS Concepts</jats:title><jats:p> •Human-centered computing → Collaborative and social computing• Applied computing → Psychology. </jats:p></jats:sec>


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Burton, Jason W
Almaatouq, Abdullah
Rahimian, M AminRAHIMIAN@pitt.eduRAHIMIAN0000-0001-9384-1041
Hahn, Ulrike
Date: April 2024
Date Type: Publication
Journal or Publication Title: Collective Intelligence
Volume: 3
Number: 2
Publisher: SAGE Publications
DOI or Unique Handle: 10.1177/26339137241241307
Schools and Programs: Swanson School of Engineering > Industrial Engineering
Refereed: Yes
ISSN: 2633-9137
Date Deposited: 19 Aug 2021 17:38
Last Modified: 05 Sep 2024 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/41681

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