Comparing Generic and Community-Situated Crowdsourcing for Data Validation in the Context of Recovery from Substance Use Disorders

Comparing Generic and Community-Situated Crowdsourcing for Data Validation in the Context of Recovery from Substance Use Disorders
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药物使用障碍康复背景下比较通用众包和社区众包的数据验证

DOI:
10.1145/3411764.3445399
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发表时间:
2021
期刊:
CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Yarosh, Svetlana
Yarosh, Svetlana
中科院分区:
--
文献类型:
--
作者:
Rubya, Sabirat;Numainville, Joseph;Yarosh, Svetlana

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将合适的工人群体作为众包的目标通常会取得更好的质量结果。有针对性的众包的一个独特例子是寻找社区工作者,他们熟悉特定群体的背景和规范,可以帮助产生更好的结果或准确性。这些社区人群工作者可以通过不同的方式从通用的在线众包平台或在线恢复社区招募。我们评估了三种不同的方法来招募通用和社区人群的招聘时间和成本,以及任务完成的准确性。我们认为,酗酒者匿名(AA),最大的同龄人支持组恢复酗酒者的背景下,识别和验证AA会议信息的任务。我们讨论的好处和权衡招聘有偿与无偿的社区工作者,并提供未来的研究在恢复的背景下,HCI的相关领域,并为众包ICT系统的设计的影响。
Targeting the right group of workers for crowdsourcing often achieves better quality results. One unique example of targeted crowdsourcing is seeking community-situated workers whose familiarity with the background and the norms of a particular group can help produce better outcome or accuracy. These community-situated crowd workers can be recruited in different ways from generic online crowdsourcing platforms or from online recovery communities. We evaluate three different approaches to recruit generic and community-situated crowd in terms of the time and the cost of recruitment, and the accuracy of task completion. We consider the context of Alcoholics Anonymous (AA), the largest peer support group for recovering alcoholics, and the task of identifying and validating AA meeting information. We discuss the benefits and trade-offs of recruiting paid vs. unpaid community-situated workers and provide implications for future research in the recovery context and relevant domains of HCI, and for the design of crowdsourcing ICT systems.
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