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激励措施可以减少在线雇主评价中的偏见。

Incentives can reduce bias in online employer reviews.

机构信息

School of Social Policy & Practice.

Glassdoor.

出版信息

J Exp Psychol Appl. 2021 Jun;27(2):393-407. doi: 10.1037/xap0000342. Epub 2021 Mar 25.

Abstract

Online reviews are widely used to propagate the reputations of employers. However, existing research suggests that online reviews often suffer from selection bias-people with extreme opinions are more motivated to select into sharing them than people with moderate opinions, resulting in more extreme ratings. We find that providing incentives for reviewing can reduce this selection bias, because incentives can mitigate the motivational deficit of people who hold moderate opinions. Using data from Glassdoor, a leading employer review website, we find that incentivized ratings are less extreme than voluntary (self-selected) ratings. The likely bias in the distribution of voluntary reviews can affect workers' choice of employers. We complement our investigation with a randomized experiment that provides a cleaner test of selection bias. We again find that voluntary reviews of employers lead to more extreme reviews compared to non-voluntary reviews. Moreover, providing relatively high monetary rewards or a pro-social cue as incentives for reviewing also lowers the relative prevalence of extreme reviews. Although voluntary employer reviews often suffer from selection bias, incentives can reduce it and help workers make more informed employment choices. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

在线评论被广泛用于传播雇主的声誉。然而,现有研究表明,在线评论往往存在选择偏差——持有极端观点的人比持有温和观点的人更有动力选择分享,从而导致更极端的评价。我们发现,提供评论奖励可以减少这种选择偏差,因为奖励可以减轻持有温和观点的人的动机不足。我们利用 Glassdoor(一家领先的雇主评论网站)的数据发现,有奖励的评价比自愿(自我选择)的评价不那么极端。自愿评论分布中的可能偏差会影响工人对雇主的选择。我们通过一项随机实验补充了我们的调查,该实验对选择偏差进行了更清洁的测试。我们再次发现,与非自愿评论相比,雇主的自愿评论导致更极端的评论。此外,提供相对较高的金钱奖励或作为评论奖励的亲社会线索也可以降低极端评论的相对流行度。尽管自愿的雇主评论往往存在选择偏差,但奖励可以减轻这种偏差,并帮助工人做出更明智的就业选择。

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