Picking the NYT Picks : Editorial Criteria and Automation in the Curation of Online News

Picking the NYT Picks : Editorial Criteria and Automation in the Curation of Online News
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《纽约时报》精选:在线新闻策划中的编辑标准和自动化

DOI:
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发表时间:
2015
期刊:
影响因子:
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通讯作者:
N. Diakopoulos
N. Diakopoulos
中科院分区:
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文献类型:
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作者:
N. Diakopoulos

文献摘要

被引文献

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新闻工作者倾向于根据对优质内容的编辑概念来选择在线评论。这项工作考虑了各种标准,以确定高质量的用户贡献的出版物,评估这些标准如何体现在纽约时报“选择”的意见,并可操作化三个这样的标准计算。结果表明,从文献中列举的许多标准确实体现在纽约时报“选择”的评论比nonselected评论,大多数标准是充分的评级由未经培训的非专业人士,相对简单的算法可以用来自动评估这些标准。未来的在线评论经验的影响进行了讨论。
Journalists have a propensity to select online comments for publication according to editorial conceptions of quality content. This work considers various criteria for identifying quality user contributions for publication, evaluates how these criteria manifest in New York Times “Picks” comments, and operationalizes three such criteria computationally. Results indicate that many of the criteria enumerated from the literature do manifest in NYT “Picks” comments more so than nonselected comments, that most criteria are adequately rated by untrained non-professionals, and that relatively simple algorithms can be used to automatically assess some of these criteria. Implications for future online commenting experiences are discussed.