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Supporting 'Everyday Analysts' in Safety- and Time-Critical Situations

机译：在安全和时间紧迫的情况下为“日常分析师”提供支持

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摘要

The need for quick, timely, and accurate information is critical in emergency events. During mass emergencies, people assemble information from both official and unofficial sources. As digital access expands, people will increasingly incorporate information from digital sources into decision making and assess it against the local circumstances they experience. If we extrapolate what such behavior means for the future, we can see that information management under emergency conditions will need to become increasingly socially distributed. The key question then is how to assess the quality of information: how "good" or "bad" it is; whether it is "misinformation" or "disinformation." Borrowing from Simon's notion of satisficing, the authors argue that people's assessment of information helpfulness and credibility is a function of the "everyday analytic" skills they employ during mass emergencies. To facilitate the critical work of "everyday analysts," we outline a research agenda for the development of analytical support tools.
机译：在紧急事件中，需要快速，及时和准确的信息至关重要。在大规模紧急情况下，人们从官方和非官方渠道收集信息。随着数字访问的扩展，人们将越来越多地将来自数字源的信息纳入决策中，并根据他们所遇到的当地情况对其进行评估。如果我们推断这种行为对未来意味着什么，我们可以看到，在紧急情况下的信息管理将需要变得越来越社会化。然后，关键问题是如何评估信息的质量：信息的好坏。无论是“错误信息”还是“虚假信息”。作者从西蒙的满意度概念中借鉴，他们认为人们对信息有用性和可信度的评估是他们在大规模紧急情况下使用的“日常分析”技能的函数。为了促进“日常分析师”的关键工作，我们概述了开发分析支持工具的研究议程。

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