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Does the “surprisingly popular” method yield accurate crowdsourced predictions?

机译:“令人惊讶的流行”方法是否会产生准确的众群预测?

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The “surprisingly popular” method (SP) of aggregating individual judgments has shown promise in overcoming a weakness of other crowdsourcing methods—situations in which the majority is incorrect. This method relies on participants’ estimates of other participants’ judgments; when an option is chosen more often than the average metacognitive judgments of that option, it is “surprisingly popular” and is selected by the method. Although SP has been shown to improve group decision making about factual propositions (e.g., state capitals), its application to future outcomes has been limited. In three preregistered studies, we compared SP to other methods of aggregating individual predictions about future events. Study 1 examined predictions of football games, Study 2 examined predictions of the 2018 US midterm elections, and Study 3 examined predictions of basketball games. When applied to judgments made by objectively assessed experts, SP performed slightly better than other aggregation methods. Although there is still more to learn about the conditions under which SP is effective, it shows promise as a means of crowdsourcing predictions of future outcomes.
机译:聚集各个判断的“令人惊讶的流行”方法(SP)已经表明了克服了其他众包的弱点 - 大多数是不正确的情况。这种方法依赖于参与者对其他参与者判断的估计; when an option is chosen more often than the average metacognitive judgments of that option, it is “surprisingly popular” and is selected by the method.虽然SP已被证明改善了关于事实命题的群体决策(例如,国家首都),其在未来结果的申请受到限制。在三项预期研究中,我们将SP与其他关于未来事件的个人预测的其他方法进行了比较。研究1审查了足球比赛的预测,研究2审查了2018年美国中期选举的预测,研究3审查了对篮球比赛的预测。当适用于客观评估专家的判断时,SP略好于其他聚集方法。虽然仍然有更多的要了解SP所有效的条件,但它将承诺作为未来结果的众包预测的手段。

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