Answers or no answers : studying question answerability in stack overflow
Some questions posted in community question answering sites (CQAs) fail to attract a single answer. To address the growing volumes of unanswered questions in CQAs, the objective of this paper is two-fold. First, it aims to develop a conceptual framework known as the Quest-for-Answer to explain why s...
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sg-ntu-dr.10356-1447792023-03-05T15:58:00Z Answers or no answers : studying question answerability in stack overflow Chua, Alton Yeow Kuan Banerjee, Snehasish Wee Kim Wee School of Communication and Information Social sciences::Communication Answerability Community Question Answering Some questions posted in community question answering sites (CQAs) fail to attract a single answer. To address the growing volumes of unanswered questions in CQAs, the objective of this paper is two-fold. First, it aims to develop a conceptual framework known as the Quest-for-Answer to explain why some questions in CQAs draw answers while others remain ignored. The framework suggests that the answerability of questions depends on both metadata and content. Second, the paper attempts to empirically validate the Quest-for-Answer framework through a case study of Stack Overflow. A total of 3000 questions divided equally between those answered and unanswered were used for analysis. The Quest-for-Answer framework yielded generally promising results. With respect to metadata, asker’s popularity, participation and asking time of questions were found to be significant in predicting if answers would be forthcoming. With respect to content, level of details, specificity, clarity and the socio-emotional value of questions were significant in enhancing or impeding responses. Accepted version 2020-11-24T05:02:55Z 2020-11-24T05:02:55Z 2015 Journal Article Chua, A. Y. K., & Banerjee, S. (2015). Answers or no answers : studying question answerability in stack overflow. Journal of Information Science, 41(5), 720-731. doi:10.1177/0165551515590096 0165-5515 https://hdl.handle.net/10356/144779 10.1177/0165551515590096 5 41 720 731 en Journal of Information Science © 2015 The Author(s). All rights reserved. This paper was published in Journal of Information Science and is made available with permission of The Author(s). application/pdf |
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Social sciences::Communication Answerability Community Question Answering Chua, Alton Yeow Kuan Banerjee, Snehasish Answers or no answers : studying question answerability in stack overflow |
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Some questions posted in community question answering sites (CQAs) fail to attract a single answer. To address the growing volumes of unanswered questions in CQAs, the objective of this paper is two-fold. First, it aims to develop a conceptual framework known as the Quest-for-Answer to explain why some questions in CQAs draw answers while others remain ignored. The framework suggests that the answerability of questions depends on both metadata and content. Second, the paper attempts to empirically validate the Quest-for-Answer framework through a case study of Stack Overflow. A total of 3000 questions divided equally between those answered and unanswered were used for analysis. The Quest-for-Answer framework yielded generally promising results. With respect to metadata, asker’s popularity, participation and asking time of questions were found to be significant in predicting if answers would be forthcoming. With respect to content, level of details, specificity, clarity and the socio-emotional value of questions were significant in enhancing or impeding responses. |
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Wee Kim Wee School of Communication and Information |
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Wee Kim Wee School of Communication and Information Chua, Alton Yeow Kuan Banerjee, Snehasish |
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Chua, Alton Yeow Kuan Banerjee, Snehasish |
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Chua, Alton Yeow Kuan |
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Answers or no answers : studying question answerability in stack overflow |
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Answers or no answers : studying question answerability in stack overflow |
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Answers or no answers : studying question answerability in stack overflow |
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Answers or no answers : studying question answerability in stack overflow |
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answers or no answers : studying question answerability in stack overflow |
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2020 |
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https://hdl.handle.net/10356/144779 |
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