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  • 1
    Online Resource
    Online Resource
    Cambridge University Press (CUP) ; 2023
    In:  Journal of Experimental Political Science
    In: Journal of Experimental Political Science, Cambridge University Press (CUP)
    Abstract: Using an app for smartphones, we run an experiment among high-school students to study the pattern of aggregation of sparsely distributed information. Agents are randomly arranged in small networks and can share only non-verifiable pieces of information. Results show that while information exchange is high, the level and the distribution of centralities among network members are important to shape the overall level of information aggregation. A reduction in the asymmetry among agents’ network centralities is associated with an improvement in the performance of the group in terms of aggregation of information.
    Type of Medium: Online Resource
    ISSN: 2052-2630 , 2052-2649
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2765224-5
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