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- W2912571444 abstract "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." @default.
- W2912571444 created "2019-02-21" @default.
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- W2912571444 date "2018-10-22" @default.
- W2912571444 modified "2023-09-25" @default.
- W2912571444 title "Multidimensional news quality: A comparison of crowdsourcing and nichesourcing" @default.
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