Assessing the Quality of Wikipedia Editors Through Crowdsourcing
Authors | Yu Suzuki Satoshi Nakamura |
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Publication date | 2016 |
ISBN | 978-1-4503-4144-8 |
DOI | 10.1145/2872518.2891113 |
Links | Original Preprint |
Assessing the Quality of Wikipedia Editors Through Crowdsourcing - scientific work about Wikipedia quality published in 2016, written by Yu Suzuki and Satoshi Nakamura.
Overview
In this paper, authors propose a method for assessing the quality of Wikipedia editors. By effectively determining whether the text meaning persists over time, authors can determine the actual contribution by editors. This is used in this paper to detect vandal. However, the meaning of text does not always change if a term in the text is added or removed. Therefore, authors cannot capture the changes of text meaning automatically, so authors cannot detect whether the meaning of text survives or not. To solve this problem, authors use crowdsourcing to manually detect changes of text meaning. In experiment, authors confirmed that proposed method improves the accuracy of detecting vandals by about 5%.
Embed
Wikipedia Quality
Suzuki, Yu; Nakamura, Satoshi. (2016). "[[Assessing the Quality of Wikipedia Editors Through Crowdsourcing]]". WWW '16 Companion Proceedings of the 25th International Conference Companion on World Wide Web, pp. 1001-1006. ISBN: 978-1-4503-4144-8. DOI: 10.1145/2872518.2891113.
English Wikipedia
{{cite journal |last1=Suzuki |first1=Yu |last2=Nakamura |first2=Satoshi |title=Assessing the Quality of Wikipedia Editors Through Crowdsourcing |date=2016 |isbn=978-1-4503-4144-8 |doi=10.1145/2872518.2891113 |url=https://wikipediaquality.com/wiki/Assessing_the_Quality_of_Wikipedia_Editors_Through_Crowdsourcing |journal=WWW '16 Companion Proceedings of the 25th International Conference Companion on World Wide Web, pp. 1001-1006}}
HTML
Suzuki, Yu; Nakamura, Satoshi. (2016). "<a href="https://wikipediaquality.com/wiki/Assessing_the_Quality_of_Wikipedia_Editors_Through_Crowdsourcing">Assessing the Quality of Wikipedia Editors Through Crowdsourcing</a>". WWW '16 Companion Proceedings of the 25th International Conference Companion on World Wide Web, pp. 1001-1006. ISBN: 978-1-4503-4144-8. DOI: 10.1145/2872518.2891113.