DocumentCode
731522
Title
Mining Successful Answers in Stack Overflow
Author
Calefato, Fabio ; Lanubile, Filippo ; Marasciulo, Maria Concetta ; Novielli, Nicole
Author_Institution
Dipt. di Inf., Univ. degli Studi di Bari, Bari, Italy
fYear
2015
fDate
16-17 May 2015
Firstpage
430
Lastpage
433
Abstract
Recent research has shown that drivers of success in online question answering encompass presentation quality as well as temporal and social aspects. Yet, we argue that also the emotional style of a technical contribution influences its perceived quality. In this paper, we investigate how Stack Overflow users can increase the chance of getting their answer accepted. We focus on actionable factors that can be acted upon by users when writing an answer and making comments. We found evidence that factors related to information presentation, time and affect all have an impact on the success of answers.
Keywords
data mining; human factors; question answering (information retrieval); online question answering; perceived quality; stack overflow; successful answer mining; Communities; Data mining; Knowledge discovery; Logistics; Measurement; Sentiment analysis; Writing; Human Factors; Knowledge Sharing; Online Q&A; Sentiment Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Mining Software Repositories (MSR), 2015 IEEE/ACM 12th Working Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/MSR.2015.56
Filename
7180110
Link To Document