Engage Wider Audience or Facilitate Quality Answers? a Mixed-methods Analysis of Questioning Strategies for Research Sensemaking on a Community Q&A Site

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

  • Changyang He
  • Yue Deng
  • Lu He
  • Qingyu Guo
  • Bo Li

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number50
Journal / PublicationProceedings of the ACM on Human-Computer Interaction
Volume8
Issue number1
Publication statusPublished - 23 Apr 2024

Abstract

Discussing research-sensemaking questions on Community Question and Answering (CQA) platforms has been an increasingly common practice for the public to participate in science communication. Nonetheless, how users strategically craft research-sensemaking questions to engage public participation and facilitate knowledge construction is a significant yet less understood problem. To fill this gap, we collected 837 science-related questions and 157,684 answers from Zhihu, and conducted a mixed-methods study to explore user-developed strategies in proposing research-sensemaking questions, and their potential effects on public engagement and knowledge construction. Through open coding, we captured a comprehensive taxonomy of question-crafting strategies, such as eyecatching narratives with counter-intuitive claims and rigorous descriptions with data use. Regression analysis indicated that these strategies correlated with user engagement and answer construction in different ways (e.g., emotional questions attracted more views and answers), yet there existed a general divergence between wide participation and quality knowledge establishment, when most questioning strategies could not ensure both. Based on log analysis, we further found that collaborative editing afforded unique values in refining research-sensemaking questions regarding accuracy, rigor, comprehensiveness and attractiveness. We propose design implications to facilitate accessible, accurate and engaging science communication on CQA platforms. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

Research Area(s)

  • knowledge construction, language style, Q&A sites, science communication, user engagement

Citation Format(s)

Engage Wider Audience or Facilitate Quality Answers? a Mixed-methods Analysis of Questioning Strategies for Research Sensemaking on a Community Q&A Site. / He, Changyang; Deng, Yue; He, Lu et al.
In: Proceedings of the ACM on Human-Computer Interaction, Vol. 8, No. 1, 50, 23.04.2024.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review