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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References
Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. OReilly Media Inc., Sebastopol (2009)
Danescu-Niculescu-Mizil, C., Sudhof, M., Jurafsky, D., Leskovec, J., Potts, C.: A computational approach to politeness with application to social factors. arXiv preprint arXiv:1306.6078 (2013)
Hutto, C.J., Gilbert, E.E.: VADER: a parsimonious rule-based model for sentiment analysis of social media text. In: Eighth International Conference on Weblogs and Social Media (ICWSM-2014), Ann Arbor, MI, June 2014
Lam, S.T.K., Riedl, J.: Is Wikipedia growing a longer tail? In: Proceedings of the ACM 2009 International Conference on Supporting Group Work, pp. 105–114 (2009)
Lam, S.K., Karim, J., Riedl, J.: The effects of group composition on decision quality in a social production community. In: Proceedings of the 16th ACM International Conference on Supporting Group Work, pp. 55–64 (2010)
Laniado, D., Kaltenbrunner, A., Castillo, C., Morell, M.F.: Emotions and dialogue in a peer-production community: the case of Wikipedia. In: Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration, p. 9. ACM (2012)
Ribeiro, F.N., Araújo, M., Gonçalves, P., Gonçalves, M.A., Benevenuto, F.: SentiBench-a benchmark comparison of state-of-the-practice sentiment analysis methods. EPJ Data Sci. 5(1), 1–29 (2016)
Sigillo, A.E., Sicafuse, L.L.: The influence of media and community sentiment on policy decision-making. In: Miller, M., Blumenthal, J., Chamberlain, J. (eds.) Handbook of Community Sentiment, pp. 29–42. Springer, New York (2015). https://doi.org/10.1007/978-1-4939-1899-7_2
Taraborelli, D., Ciampaglia, G.L.: Beyond notability. Collective deliberation on content inclusion in Wikipedia. In: Proceedings of the 4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pp. 122–125 (2010)
Wang, L., Cardie, C.: A piece of my mind: a sentiment analysis approach for online dispute detection. arXiv preprint arXiv:1606.05704 (2016)
Xiao, L., Askin, N.: What influences online deliberation? A Wikipedia study. J. Am. Soc. Inf. Sci. Technol. 65(5), 898–910 (2014)
Zhang, D., Xu, W., Zhu, Y., Zhang, X.: Can sentiment analysis help mimic decision-making process of loan granting? A novel credit risk evaluation approach using GMKL model. In: 2015 48th Hawaii International Conference on System Sciences (HICSS), pp. 949–958. IEEE, January 2015
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Xiao, L., Sitaula, N. (2018). Sentiments in Wikipedia Articles for Deletion Discussions. In: Chowdhury, G., McLeod, J., Gillet, V., Willett, P. (eds) Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science(), vol 10766. Springer, Cham. https://doi.org/10.1007/978-3-319-78105-1_10
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DOI: https://doi.org/10.1007/978-3-319-78105-1_10
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