From Browsing to Answering:A Configurational Analysis of Traffic Conversion in Q&A Community from the Perspective of Attention Distribution
Traffic conversion from question browsing to answering is of great significance to Q&A com-munity.It is regarded as a multi-factor concurrent process of the synergy of information clues within the Q&A interface.Employing fuzzy-set qualitative comparative analysis,this study examines 2,085 questions from Zhihu to explore how traffic conversion in the Q&A community can be facilitated,with supplementary insights from regression analysis.The findings reveal that the configuration path of high traffic conversion rate in-cludes readable question type of"low competition-high social concern"and"low competition-strong social influence".Conversely,the configuration path for non-high traffic conversion rates is causal asymmetry.Fur-thermore,the configuration paths of high traffic conversion are different for questions with different degrees of knowledge structure.These findings elucidate the user attention distribution in Q&A communities during the transition from browsers to answerers and reveal the mechanisms of traffic conversion,which helps to facili-tate traffic conversion of knowledge sharing platform and optimize the Q&A interface design.
万方数据
维普
