業界から学ぶこと
Tom Cunningham1, Sana Pandey2, Leif Sigerson3
1OpenAI Inc, San Francisco, California, USA.
Annals of the New York Academy of Sciences
|August 21, 2025
まとめ
プラットフォームは,エンゲージメントメトリックとともに非エンゲージメントシグナルを使用することで,ユーザー保持と社会的利益を改善することができます. オンラインコンテンツのランキングを改善するために ユーザー調査と品質指標を統合することを提案しています
科学分野:
- デジタルメディア
- 人とコンピュータの相互作用
- 社会への影響
背景:
- オンラインプラットフォームでは コンテンツランキングにおいて ユーザーのエンゲージメントを優先します
- プラットフォームや社会福祉の 重要な指標を無視しているかもしれません
- 非関与のシグナルにより,プラットフォームの成果が向上する可能性があります.
研究 の 目的:
- オンラインメディアプラットフォームにおける非関与シグナルの可能性を探求する.
- 非関与シグナルを統合するためのコンセンサスに基づく提案を策定する.
- ユーザのエンゲージメント,エンゲージメントの無いシグナル,そしてユーザ保持の関係を調べる.
主な方法:
- 業界や学界の専門家を招集した.
- 専門家のコンセンサスを通じて提案を策定する.
- 公に公開された証拠と量的なデータで提案を裏付けている.
主要な成果:
- 非関与シグナルの役割と影響に関する提案を確立した.
- 関与しないシグナルとユーザー保持の間の潜在的なリンクが示されています.
- ランキング要因の統合を裏付ける証拠を提供した.
結論:
- 非関与のシグナルを組み込むことは,プラットフォームの価値と社会的利益を高めることができます.
- 専門家のコンセンサスは,エンゲージメントを超えたコンテンツランキングに対するより広範なアプローチを支持しています.
- これらの洞察を共有することで オンラインプラットフォームの設計と評価の知識が向上します
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