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スケール・ディホトマイゼーションは,顧客の人種差別と所得格差を減らす

Tristan L Botelho¹, Sora Jun², Demetrius Humes³

¹Yale School of Management, Yale University, New Haven, CT, USA. tristan.botelho@yale.edu.

|February 19, 2025

まとめ

2ポイントの評価スケールに切り替えることで,オンラインの顧客レビューにおける人種差別は排除されました. この単純な変化により非白人の労働者に公正な報酬が与えられギグ・エコノミーのバイアスが減ったのです

科学分野:

社会心理学
行動経済学
社会学

背景:

オンラインプラットフォームでは人種差別が顕著で,現在の解決策は主に雇用者を対象としています.
これらのプラットフォームの顧客評価は個人的な偏見によって影響を受け不平等を永続させています

研究の目的:

オンライン評価における人種差別を緩和するための顧客向け介入を提案し,テストする.
微妙な人種的偏見を減らすための評価スケールの設計の影響を調査する.

主な方法:

家庭サービスプラットフォームで5つ星と二分法 (上下) の評価スケールを比較した準自然の実験です.
異なる評価器タイプにおける二分化効果のメカニズムと流行を調査するための事前に登録された実験.

主要な成果:

非白人の労働者はもはや低い評価を受けることがなくなりました.
均衡効果は現代の人種差別的な信念を持つ評価者の中で最も顕著でした.
この研究は,二分化がパフォーマンス評価のバイアスを減らすメカニズムを特定しました.

結論:

単純な二分法評価スケールへの移行はオンラインプラットフォームにおける顧客に基づく人種差別に対する効果的な介入です
このアプローチは,ギグエコノミーや他のサービスセクターの不平等を減らすための実用的な解決策です.
デジタルマーケットプレイスにおける人種間格差の理解と緩和に寄与します

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