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The myopia of crowds: Cognitive load and collective evaluation of answers on Stack Exchange

机译:人群的近视:Stack Exchange上的认知负荷和答案的集体评估

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摘要

Crowds can often make better decisions than individuals or small groups of experts by leveraging their ability to aggregate diverse information. Question answering sites, such as Stack Exchange, rely on the “wisdom of crowds” effect to identify the best answers to questions asked by users. We analyze data from 250 communities on the Stack Exchange network to pinpoint factors affecting which answers are chosen as the best answers. Our results suggest that, rather than evaluate all available answers to a question, users rely on simple cognitive heuristics to choose an answer to vote for or accept. These cognitive heuristics are linked to an answer’s salience, such as the order in which it is listed and how much screen space it occupies. While askers appear to depend on heuristics to a greater extent than voters when choosing an answer to accept as the most helpful one, voters use acceptance itself as a heuristic, and they are more likely to choose the answer after it has been accepted than before that answer was accepted. These heuristics become more important in explaining and predicting behavior as the number of available answers to a question increases. Our findings suggest that crowd judgments may become less reliable as the number of answers grows.
机译:通过利用其聚集各种信息的能力,人群通常可以比个人或小组专家做出更好的决策。诸如Stack Exchange之类的问题解答站点依靠“人群的智慧”效应来确定用户提出的问题的最佳答案。我们分析来自Stack Exchange网络上250个社区的数据,以找出影响哪些答案被选为最佳答案的因素。我们的结果表明,用户不是评估问题的所有可用答案,而是依靠简单的认知启发法来选择要投票或接受的答案。这些认知启发式方法与答案的显着性有关,例如答案的列出顺序和占用的屏幕空间。尽管问者在选择答案作为最有帮助的答案时似乎比选民更依赖启发式方法,但选民将接受本身作为一种启发式方法,并且在接受答案之后,他们比以前更容易选择答案答案被接受。随着问题的可用答案数量的增加,这些试探法在解释和预测行为方面变得更加重要。我们的发现表明,随着答案数量的增加,人群的判断可能变得不那么可靠。

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