Multidimensional News Quality: A Comparison of Crowdsourcing and Nichesourcing
Multidimensional News Quality: A Comparison of Crowdsourcing and Nichesourcing
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多维新闻质量：众包和利基外包的比较
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Stefano Mizzaro
中科院分区：
文献类型：
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作者：
Eddy Maddalena;D. Ceolin;Stefano Mizzaro
在假新闻和过滤泡沫的时代，评估信息质量是一个引人注目的问题：用户必须了解他们在线消费的信息的质量。我们报告我们的实验，旨在了解如果工人从人群中可以是一个合适的替代专家的信息质量评估。结果表明，众包收集的数据似乎可靠。与专家的意见并不完全一致，但在一项如此复杂并与评估员的背景有关的任务中，这是意料之中的，在某种程度上是积极的。
In the age of fake news and of filter bubbles, assessing the quality of information is a compelling issue: it is important for users to understand the quality of the information they consume online. We report on our experiment aimed at understanding if workers from the crowd can be a suitable alternative to experts for information quality assessment. Results show that the data collected by crowdsourcing seem reliable. The agreement with the experts is not full, but in a task that is so complex and related to the assessor’s background, this is expected and, to some extent, positive.