Purpose

This paper seeks to address the following two research questions. RQ1: What are the influential user archetypes in the social question-answering (SQA) community? RQ2: To what extent does user feedback affect influential users in changing from one archetype to another?

Design/methodology/approach

Based on a sample of 13,840 influential users drawn from the Covid-19 community on Zhihu, the archetypes of influential users were derived from their ongoing participation behavior in the community using the Gaussian mixture model. Additionally, user feedback characteristics such as relevance and volume from 222,965 commenters who contributed 546,344 comments were analyzed using the multinomial logistic regression model to investigate the archetype change of influential users.

Findings

Findings suggest that influential users could be clustered into three distinctive archetypes: touch-and-go influential users, proactive influential users and super influential users. Moreover, feedback variables have various impacts on the influential user archetype change, including a shift toward creating higher-quality content and fostering increased interaction, a shift toward generating lower-quality content and decreased interaction but improved speed and having mixed effects due to differences in information processing among these archetypes.

Originality/value

This study expands the existing knowledge of influential users and proposes practical approaches to cultivate them further.

中文翻译：

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社交问答网站中影响力用户的原型

 目的

本文旨在解决以下两个研究问题。 RQ1：社交问答 (SQA) 社区中有哪些有影响力的用户原型？ RQ2：用户反馈在多大程度上影响有影响力的用户从一种原型转变为另一种原型？

设计/方法论/途径

基于从知乎 Covid-19 社区抽取的 13,840 名有影响力用户的样本，有影响力用户的原型是使用高斯混合模型根据他们在社区中的持续参与行为得出的。此外，使用多项逻辑回归模型分析了贡献 546,344 条评论的 222,965 名评论者的相关性和数量等用户反馈特征，以调查有影响力的用户的原型变化。

 发现

研究结果表明，有影响力的用户可以分为三种不同的原型：即触即走的有影响力的用户、主动的有影响力的用户和超级有影响力的用户。此外，反馈变量对有影响力的用户原型变化有各种影响，包括转向创建更高质量的内容并促进更多的互动，转向生成较低质量的内容和减少互动，但提高了速度，并且由于用户体验的差异而产生混合效应。这些原型之间的信息处理。

 原创性/价值

这项研究扩展了有影响力用户的现有知识，并提出了进一步培养他们的实用方法。