ネット上の画像はジェンダーバイアスを増幅する
Douglas Guilbeault1, Solène Delecourt2, Tasker Hull3
1Haas School of Business, University of California, Berkeley, Berkeley, CA, USA. douglas.guilbeault@haas.berkeley.edu.
Nature
|February 14, 2024
まとめ
オンラインの画像は テキストと比較して 性別偏見を大幅に悪化させます この視覚的変化はステレオタイプを拡大し,特に様々な社会的カテゴリーにおける女性の表現と認識に影響を与えます.
科学分野:
- 社会心理学
- デジタルメディア研究
- コンピュータ科学
背景:
- テキストよりも 画像の消費が増加しています
- ビジュアルコンテンツは ソーシャルメディアやニュースに支配されています
- 画像はテキストよりも速く 記憶に残ります
研究 の 目的:
- オンライン画像の普及がジェンダーバイアスに どう影響するか調べる
- ジェンダーバイアスの割合を 画像とテキストで比較する
- 性別ステレオタイプに対する視覚的検索の心理的影響を評価する.
主な方法:
- グーグル,ウィキペディア,IMDbの40万以上の画像と 数十億の単語の分析です
- 画像とテキストデータにおけるジェンダーバイアスの比較
- 画像ベースの職業検索と テキストベースの職業検索の効果に関する 全国の代表的な実験です
主要な成果:
- 性別偏見は,男性と女性のタイプの両方のカテゴリーでは,テキストよりも画像で一貫してより一般的です.
- ネット上の女性のイメージは テキストや世論や国勢調査のデータよりも ずっと劣っています
- 職業の画像の検索は テキスト検索よりも 信念のジェンダーバイアスを増幅します
結論:
- オンラインでの視覚的コミュニケーションへの移行は ジェンダーバイアスを悪化させています
- 視覚的なジェンダーバイアスに対処することは 包摂的なインターネットに不可欠です
- オンラインのビジュアルコンテンツの ステレオタイプを緩和するために 介入が必要です
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