Sentiments in wikipedia articles for deletion discussions

Lu Xiao, Niraj Sitaula

Research output: Chapter in Book/Entry/PoemConference contribution

3 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationTransforming Digital Worlds - 13th International Conference, iConference 2018, Proceedings
EditorsGobinda Chowdhury, Julie McLeod, Val Gillet, Peter Willett
PublisherSpringer Verlag
Pages81-86
Number of pages6
ISBN (Print)9783319781044
DOIs
StatePublished - 2018
Event13th International Conference on Transforming Digital Worlds, iConference 2018 - Sheffield, United Kingdom
Duration: Mar 25 2018Mar 28 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10766 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Transforming Digital Worlds, iConference 2018
Country/TerritoryUnited Kingdom
CitySheffield
Period3/25/183/28/18

Keywords

  • Online discussion
  • Sentiment analysis
  • Wikipedia

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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