在过往关于群体智慧的研究中，群体在估值、排序等任务中通常被认为能够比个体做出更好的决策且群体更好地解决问题。本文将探究群体智慧在判断任务中的表现，并聚焦群体智慧识别涉疫谣言的质效，并试图找出影响群体智慧在这一任务中质效的因素。
本文在国内外研究的基础上，对群体智慧识别涉疫谣言的任务进行实证研究，通过以因素分析为主的手段鉴别群体智慧在该任务中的有效性。研究结果表明：对于涉疫谣言，群体判断的准确率高于个人判断的准确率；平均学历更高的群体对涉疫谣言的判断准确率高于平均学历更低的群体。

In previous research on collective intelligence, groups have generally been considered to make better decisions than individuals in tasks such as valuation and ranking, and to solve problems more effectively. This paper will explore the performance of collective intelligence in judgment tasks, focusing on the quality and effectiveness of collective intelligence in identifying epidemic-related rumors, and attempting to identify the factors that influence the quality and effectiveness of collective intelligence in this task.
Based on domestic and international research, this paper conducts an empirical study on the task of identifying epidemic-related rumors using collective intelligence, and evaluates the effectiveness of collective intelligence in this task primarily through factor analysis. The research results show that: for epidemic-related rumors, the accuracy of group judgment is higher than that of individual judgment; groups with a higher average education level have a higher accuracy rate in judging epidemic-related rumors than groups with a lower average education level.