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Sentiments in Wikipedia Articles for Deletion Discussions

Author: Lu Xiao Affiliation: Syracuse University, Syracuse, NY, 13244, USA; Niraj Sitaula Affiliation: Syracuse University, Syracuse, NY, 13244, USA
Edition/Format: Chapter Chapter : English
Summary:
Wikipedia provides a discussion forum, namely, Article for Deletion forum, for people to deliberate about whether or not an article should be deleted from the site. In this paper, we present interesting correlation between outcomes of the discussion and number of sentiments in the comments with different intensity. We performed sentiment analysis on 37,761 AfD discussions with 156,415 top-level comments and explored  Read more...
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All Authors / Contributors: Lu Xiao Affiliation: Syracuse University, Syracuse, NY, 13244, USA; Niraj Sitaula Affiliation: Syracuse University, Syracuse, NY, 13244, USA
ISBN: 978-3-319-78104-4 978-3-319-78105-1
Publication:Chowdhury, Gobinda, Gobinda.chowdhury@northumbria.ac.uk, Northumbria University, Newcastle upon Tyne, United Kingdom; Transforming Digital Worlds : 13th International Conference, iConference 2018, Sheffield, UK, March 25-28, 2018, Proceedings; 81-86; Cham : Springer International Publishing : Springer
Language Note: English
Unique Identifier: 7357407963
Awards:

Abstract:

Wikipedia provides a discussion forum, namely, Article for Deletion forum, for people to deliberate about whether or not an article should be deleted from the site. In this paper, we present interesting correlation between outcomes of the discussion and number of sentiments in the comments with different intensity. We performed sentiment analysis on 37,761 AfD discussions with 156,415 top-level comments and explored relationship between outcomes of the discussion and sentiments in the comments. Our preliminary work suggests: discussion that have keep or other outcomes have more than expected positive sentiment, whereas discussions that have delete outcomes have more than expected negative and neutral sentiment. This result shows that there tends to be positive sentiment in the comment when Wikipedia users suggest not to delete the article. This observation of differences in sentiments also encourages to further study influence of sentiments in decision making or outcome of the discussions. Our future analysis will include threaded comments, and examine the relationship between a discussion’s sentiment and its other properties such as topic of the article and the characteristics of the participating users.

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