Journalistic Source Discovery: Supporting The Identification of News Sources in User Generated Content
Journalistic Source Discovery: Supporting The Identification of News Sources in User Generated Content
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DOI：
10.1145/3411764.3445266
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发表时间：
2021-05
期刊：
影响因子：
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通讯作者：
Yixue Wang;N. Diakopoulos
中科院分区：
文献类型：
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作者：
Yixue Wang;N. Diakopoulos
许多记者和新闻编辑室现在通过利用用户生成的内容(UGC)将受众贡献纳入他们的采购实践中。然而，他们在从UGCS寻求信息时的采购需求和做法仍然没有得到研究人员的深入理解，也没有得到工具的很好支持。本文首先报道了对9名专业记者的UGC采购实践的定性访谈研究结果，详细描述了记者在UGCS中通常寻找的东西，并阐述了两种UGC采购方式：深度报道和广泛报道。这些发现提供了一种以人为中心的设计方法，为记者提供了一个UGC来源工具的原型，该工具使记者能够根据用户的范例内容对UGC进行交互筛选和排名。我们与9名专业记者一起对原型进行了评估，他们在日常工作中对UGC进行了采购，以了解UGC采购实践是如何启用和转变的，同时也发现了未来研究和设计的机会，以支持新闻采购实践和耸人听闻的流程。
Many journalists and newsrooms now incorporate audience contributions in their sourcing practices by leveraging user-generated content (UGC). However, their sourcing needs and practices as they seek information from UGCs are still not deeply understood by researchers or well-supported in tools. This paper first reports the results of a qualitative interview study with nine professional journalists about their UGC sourcing practices, detailing what journalists typically look for in UGCs and elaborating on two UGC sourcing approaches: deep reporting and wide reporting. These findings then inform a human-centered design approach to prototype a UGC sourcing tool for journalists, which enables journalists to interactively filter and rank UGCs based on users’ example content. We evaluate the prototype with nine professional journalists who source UGCs in their daily routines to understand how UGC sourcing practices are enabled and transformed, while also uncovering opportunities for future research and design to support journalistic sourcing practices and sensemaking processes.