Abstract
Community question-answering (CQA) enables responders to select questions, and respond to the questions by answering, commenting or voting. Accordingly, questions with different cues (i.e. complexity, specificity, emotional expressiveness, politeness, popularity, rewards) tend to attract different responders. However, the research is limited regarding the types of responders based on the questions they responded to. The gap inhibits us to form a complete understanding of how questions bridge askers with responders. Moreover, how different types of responders contribute to maintaining the ecosystem of the CQA has not been studied adequately. Accordingly, we conducted an online survey to organize responders by the cues of questions. Cluster analysis was used to group responders into three types: (1) “leaders” respond to complex and popular questions, attracting many followers in CQA; (2) “socializers” answer less complex and specific questions with emotion-laden words; and (3) “specialists” respond to complex questions with high specificity but seldom use the social functions of CQAs. Finally, contributions and limitations are discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 516-521 |
| Number of pages | 6 |
| Journal | Proceedings of the Association for Information Science and Technology |
| Volume | 59 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:85 Annual Meeting of the Association for Information Science & Technology | Oct. 29 – Nov. 1, 2022 | Pittsburgh, PA. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.
ASJC Scopus Subject Areas
- General Computer Science
- Library and Information Sciences
Keywords
- Cluster analysis
- Community Question-Answering
- Cues of questions
- Responder type
- Survey