DocumentCode
116463
Title
Min(e)d your tags: Analysis of Question response time in StackOverflow
Author
Bhat, Vasudev ; Gokhale, Aniruddha ; Jadhav, Ravi ; Pudipeddi, Jagat ; Akoglu, Leman
Author_Institution
Dept. of Comput. Sci., Stony Brook Univ., Stony Brook, NY, USA
fYear
2014
fDate
17-20 Aug. 2014
Firstpage
328
Lastpage
335
Abstract
Given a newly posted question on a Question and Answer (Q&A) site, how long will it take until an answer is received? Does response time relate to factors about how the question asker composes their question? If so, what are those factors? With advances in social media and the Web, Q&A sites have become a major source of information for Internet users. Response time of a question is an important aspect in these sites as it is associated with the users´ satisfaction and engagement, and thus the lifespan of these online communities. In this paper we study and estimate response time for questions in StackOverflow, a popular online Q&A forum where software developers post and answer questions related to programming. We analyze a long list of factors in the data and identify those that have clear relation with response time. Our key finding is that tag-related factors, such as their “popularity” (how often the tag is used) and the number of their “subscribers” (how many users can answer questions containing the tag), provide much stronger evidence than factors not related to tags. Finally, we learn models using the identified evidential features for predicting the response time of questions, which also demonstrate the significance of tags chosen by the question asker.
Keywords
Web sites; question answering (information retrieval); Internet users; StackOverflow; online communities; popular online Q&A forum; question and answer site; social media; Conferences; Correlation; Internet; Predictive models; Programming; Social network services; Time factors; collective intelligence; evidential feature analysis; human behavior; online communities; question answering sites; question response time; user engagement;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/ASONAM.2014.6921605
Filename
6921605
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