Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking
Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking
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集体意义建构过程中的集中式、并行式和分布式信息处理
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Emma S. Spiro
中科院分区：
文献类型：
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作者：
Peter Krafft;Kaitlyn Zhou;Isabelle Edwards;Kate Starbird;Emma S. Spiro
广泛传播的谣言可能会阻碍人们试图理解灾难场景中正在发生的事情。了解谣言是如何以及为什么在这些背景下传播的，有助于设计有助于及时和准确地制造谣言的系统。我们在这方面解决了一个基本问题：谣言的演变在多大程度上发生了(1)依赖一个集中的信息源，(2)在平行的信息孤岛中，或(3)通过复杂的信息交互网络？我们开发了一个概念模型和相关的分析算法，使我们能够区分这些可能性。我们分析了波士顿马拉松爆炸案期间推特上的一个谣言案例。我们发现，在这种情况下，谣言的传播主要是一个平行的过程，这与信息孤岛可能是虚假谣言持续存在的基础的假设是一致的。因此，可能需要特别注意在集体感觉制作期间检测和解决并行信息线索。
Widespread rumoring can hinder attempts to make sense of what is going on during disaster scenarios. Understanding how and why rumors spread in these contexts could assist in the design of systems that facilitate timely and accurate sensemaking. We address a basic question in this line: To what extent does rumor evolution occur (1) through reliance on a centralized information source, (2) in parallel information silos, or (3) through a web of complex informational interactions? We develop a conceptual model and associated analysis algorithms that allow us to distinguish between these possibilities. We analyze a case of rumoring on Twitter during the Boston Marathon Bombing. We find that rumor spreading was predominantly a parallel process in this case, which is consistent with a hypothesis that information silos may underlie the persistence of false rumors. Special attention towards detecting and resolving parallel information threads during collective sensemaking may hence be warranted.