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Dynamics of the social construction of knowledge: an empirical study of Zhihu in China

Zhang, Lun ; Li, Yong-Ning ; Peng, Tai-Quan ; Wu, Ye

EPJ data science, 2022-06, Vol.11 (1), p.35-35, Article 35 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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  • Título:
    Dynamics of the social construction of knowledge: an empirical study of Zhihu in China
  • Autor: Zhang, Lun ; Li, Yong-Ning ; Peng, Tai-Quan ; Wu, Ye
  • Assuntos: Accumulation ; Complexity ; Computer Appl. in Social and Behavioral Sciences ; Computer Science ; Data-driven Science ; Knowledge ; Knowledge construction ; Marketplace of ideas ; Mass collaboration ; Modeling and Theory Building ; Regular ; Regular Article ; Websites
  • É parte de: EPJ data science, 2022-06, Vol.11 (1), p.35-35, Article 35
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: This study examined how the knowledge market promotes knowledge construction on question-and-answer (Q&A) websites. Data were collected from Zhihu, one of the largest Q&A sites in China. Hierarchical linear modeling was employed to estimate the dynamics of information accumulation, that is, the provision of informative content as factual construction. By employing information accumulation as the objective measure of knowledge construction, we determined that online knowledge construction was facilitated by a competitive marketplace of ideas. In addition, participation, temporal, and discourse features affected the dynamics of information accumulation. In specific, active users contributed significantly less to information accumulation than did ordinary users. Information accumulation shows a naturally decaying process represented as a function of answer order. The time interval between answers at the two preceding time points reduced the informativeness of answers at the subsequent time point. Answers with a higher readability score reduced the informativeness of subsequent answers. The results indicate that knowledge construction on Q&A sites unfolds as a process of mass collaboration among users.
  • Editor: Berlin/Heidelberg: Springer Berlin Heidelberg
  • Idioma: Inglês
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