Incentives Can Reduce Bias in Online Employer Reviews
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...
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Veröffentlicht in: | Journal of experimental psychology. Applied 2021-06, Vol.27 (2), p.393-407 |
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Sprache: | eng |
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Zusammenfassung: | 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.
Public Significance Statement
Although online employer reviews are widely used, they may not be representative because employees with extreme opinions are more likely to post online reviews than employees with moderate opinions, resulting in more extreme reviews. We find that providing incentives for reviewing can reduce this selection bias and make online reviews more representative, and more useful. |
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ISSN: | 1076-898X 1939-2192 |
DOI: | 10.1037/xap0000342 |