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User motivations for asking questions in online Q&A services

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  • Erik Choi
  • Chirag Shah

Abstract

Online Q&A services are information sources where people identify their information need, formulate the need in natural language, and interact with one another to satisfy their needs. Even though in recent years online Q&A has considerably grown in popularity and impacted information‐seeking behaviors, we still lack knowledge about what motivates people to ask a question in online Q&A environments. Yahoo! Answers and WikiAnswers were selected as the test beds in the study, and a sequential mixed method employing an Internet‐based survey, a diary method, and interviews was used to investigate user motivations for asking a question in online Q&A services. Cognitive needs were found as the most significant motivation, driving people to ask a question. Yet, it was found that other motivational factors (e.g., tension free needs) also played an important role in user motivations for asking a question, depending on asker's contexts and situations. Understanding motivations for asking a question could provide a general framework of conceptualizing different contexts and situations of information needs in online Q&A. The findings have several implications not only for developing better question‐answering processes in online Q&A environments, but also for gaining insights into the broader understanding of online information‐seeking behaviors.

Suggested Citation

  • Erik Choi & Chirag Shah, 2016. "User motivations for asking questions in online Q&A services," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1182-1197, May.
  • Handle: RePEc:bla:jinfst:v:67:y:2016:i:5:p:1182-1197
    DOI: 10.1002/asi.23490
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    References listed on IDEAS

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    Cited by:

    1. Minhyung Kang, 2022. "Motivational affordances and survival of new askers on social Q&A sites: The case of Stack Exchange network," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(1), pages 90-103, January.
    2. Lei Li & Xue Song & Shujun Liu & Kun Huang, 2021. "Defining High-Quality Answers on a Chinese Tourism Q&A Platform in Terms of Information Needs," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    3. Leila Tavakoli & Hamed Zamani & Falk Scholer & William Bruce Croft & Mark Sanderson, 2022. "Analyzing clarification in asynchronous information‐seeking conversations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 449-471, March.

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