Social Q&A question-and-comments interactions and outcomes: A social sequence analysis

Sei Ching Joanna Sin; Chei Sian Lee; Yin Leng Theng

doi:10.1007/978-3-319-49304-6_37

Social Q&A question-and-comments interactions and outcomes: A social sequence analysis

Sei Ching Joanna Sin^*, Chei Sian Lee, Yin Leng Theng

^*Corresponding author for this work

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Scholars and developers have long recognized that the collections of user-generated content at social questions and answers (SQA) sites can benefit open knowledge sharing and resolve individual information needs. This has prompted strong interest in improving the quality of SQA postings, and the creation, curation, and use of these collections. While interactivity is a key feature of SQA, few studies have investigated the interaction sequence between the OP (original poster) and commenters. Drawing from Robert Taylor’s question-negotiation perspective, we posit that interaction patterns may affect SQA outcomes. Social sequence analysis (SSA) and the R package TraMineR were used to analyze the commenting sequences of Stack Overflow postings (8,132 questions and 16,598 comments). The relationships between commenting sequence structure and outcome metrics (e.g., question score, view count) were then tested with logistic regressions. Implications of the results for SQA research, SQA site design, and digital literacy training are discussed.

Original language	English
Title of host publication	Digital Libraries
Subtitle of host publication	Knowledge, Information, and Data in an Open Access Society - 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Proceedings
Editors	Atsuyuki Morishima, Andreas Rauber, Chern li Liew
Publisher	Springer Verlag
Pages	325-338
Number of pages	14
ISBN (Print)	9783319493039
DOIs	https://doi.org/10.1007/978-3-319-49304-6_37
Publication status	Published - 2016
Externally published	Yes
Event	18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016 - Tsukuba, Japan Duration: Dec 7 2016 → Dec 9 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10075 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016
Country/Territory	Japan
City	Tsukuba
Period	12/7/16 → 12/9/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2016.

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Commenting behavior
Question negotiation
Social Q&A
Social sequence analysis

Access to Document

10.1007/978-3-319-49304-6_37

Cite this

Sin, S. C. J., Lee, C. S., & Theng, Y. L. (2016). Social Q&A question-and-comments interactions and outcomes: A social sequence analysis. In A. Morishima, A. Rauber, & C. li Liew (Eds.), Digital Libraries: Knowledge, Information, and Data in an Open Access Society - 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Proceedings (pp. 325-338). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10075 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-49304-6_37

Sin, Sei Ching Joanna ; Lee, Chei Sian ; Theng, Yin Leng. / Social Q&A question-and-comments interactions and outcomes : A social sequence analysis. Digital Libraries: Knowledge, Information, and Data in an Open Access Society - 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Proceedings. editor / Atsuyuki Morishima ; Andreas Rauber ; Chern li Liew. Springer Verlag, 2016. pp. 325-338 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Scholars and developers have long recognized that the collections of user-generated content at social questions and answers (SQA) sites can benefit open knowledge sharing and resolve individual information needs. This has prompted strong interest in improving the quality of SQA postings, and the creation, curation, and use of these collections. While interactivity is a key feature of SQA, few studies have investigated the interaction sequence between the OP (original poster) and commenters. Drawing from Robert Taylor{\textquoteright}s question-negotiation perspective, we posit that interaction patterns may affect SQA outcomes. Social sequence analysis (SSA) and the R package TraMineR were used to analyze the commenting sequences of Stack Overflow postings (8,132 questions and 16,598 comments). The relationships between commenting sequence structure and outcome metrics (e.g., question score, view count) were then tested with logistic regressions. Implications of the results for SQA research, SQA site design, and digital literacy training are discussed.",

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Sin, SCJ , Lee, CS & Theng, YL 2016, Social Q&A question-and-comments interactions and outcomes: A social sequence analysis. in A Morishima, A Rauber & C li Liew (eds), Digital Libraries: Knowledge, Information, and Data in an Open Access Society - 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10075 LNCS, Springer Verlag, pp. 325-338, 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Tsukuba, Japan, 12/7/16. https://doi.org/10.1007/978-3-319-49304-6_37

Social Q&A question-and-comments interactions and outcomes: A social sequence analysis. / Sin, Sei Ching Joanna ; Lee, Chei Sian ; Theng, Yin Leng.
Digital Libraries: Knowledge, Information, and Data in an Open Access Society - 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Proceedings. ed. / Atsuyuki Morishima; Andreas Rauber; Chern li Liew. Springer Verlag, 2016. p. 325-338 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10075 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T2 - 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016

AU - Sin, Sei Ching Joanna

AU - Lee, Chei Sian

AU - Theng, Yin Leng

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - Scholars and developers have long recognized that the collections of user-generated content at social questions and answers (SQA) sites can benefit open knowledge sharing and resolve individual information needs. This has prompted strong interest in improving the quality of SQA postings, and the creation, curation, and use of these collections. While interactivity is a key feature of SQA, few studies have investigated the interaction sequence between the OP (original poster) and commenters. Drawing from Robert Taylor’s question-negotiation perspective, we posit that interaction patterns may affect SQA outcomes. Social sequence analysis (SSA) and the R package TraMineR were used to analyze the commenting sequences of Stack Overflow postings (8,132 questions and 16,598 comments). The relationships between commenting sequence structure and outcome metrics (e.g., question score, view count) were then tested with logistic regressions. Implications of the results for SQA research, SQA site design, and digital literacy training are discussed.

AB - Scholars and developers have long recognized that the collections of user-generated content at social questions and answers (SQA) sites can benefit open knowledge sharing and resolve individual information needs. This has prompted strong interest in improving the quality of SQA postings, and the creation, curation, and use of these collections. While interactivity is a key feature of SQA, few studies have investigated the interaction sequence between the OP (original poster) and commenters. Drawing from Robert Taylor’s question-negotiation perspective, we posit that interaction patterns may affect SQA outcomes. Social sequence analysis (SSA) and the R package TraMineR were used to analyze the commenting sequences of Stack Overflow postings (8,132 questions and 16,598 comments). The relationships between commenting sequence structure and outcome metrics (e.g., question score, view count) were then tested with logistic regressions. Implications of the results for SQA research, SQA site design, and digital literacy training are discussed.

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ER -

Sin SCJ , Lee CS , Theng YL. Social Q&A question-and-comments interactions and outcomes: A social sequence analysis. In Morishima A, Rauber A, li Liew C, editors, Digital Libraries: Knowledge, Information, and Data in an Open Access Society - 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Proceedings. Springer Verlag. 2016. p. 325-338. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-49304-6_37

Social Q&A question-and-comments interactions and outcomes: A social sequence analysis

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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