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Discussing research-sensemaking questions on Community Question and Answering(CQA) platforms has been an increasingly common practice for the public toparticipate in science communication. Nonetheless, how users strategicallycraft research-sensemaking questions to engage public participation andfacilitate knowledge construction is a significant yet less understood problem.To fill this gap, we collected 837 science-related questions and 157,684answers from Zhihu, and conducted a mixed-methods study to exploreuser-developed strategies in proposing research-sensemaking questions, andtheir potential effects on public engagement and knowledge construction.Through open coding, we captured a comprehensive taxonomy of question-craftingstrategies, such as eyecatching narratives with counter-intuitive claims andrigorous descriptions with data use. Regression analysis indicated that thesestrategies correlated with user engagement and answer construction in differentways (e.g., emotional questions attracted more views and answers), yet thereexisted a general divergence between wide participation and quality knowledgeestablishment, when most questioning strategies could not ensure both. Based onlog analysis, we further found that collaborative editing afforded uniquevalues in refining research-sensemaking questions regarding accuracy, rigor,comprehensiveness and attractiveness. We propose design implications tofacilitate accessible, accurate and engaging science communication on CQAplatforms.

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