フェイスブックでの政治的ニュースへの露出における非対称的なイデオロギー的な分離
Sandra González-Bailón1, David Lazer2, Pablo Barberá3
1Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.
Science (New York, N.Y.)
|July 27, 2023
まとめ
フェイスブック
科学分野:
- 社会科学
- コンピュータ科学
- 政治科学
背景:
- Facebookのようなソーシャルメディアの アルゴリズムによるキュレーションは 政治的ニュースの消費に影響を与えます
- オンラインでの民主的な議論の健全性を評価するには 思想的な分離を理解することが重要です
研究 の 目的:
- 2020年の米国大統領選挙の際のフェイスブックでの政治ニュース消費におけるイデオロギー的な分離の程度を調査する.
- アルゴリズムによるキュレーションとユーザーエンゲージメントがこの分離にどのように貢献するか分析する.
- 思想的に隔離されたオンラインコミュニティにおける 誤った情報の存在を調査する.
主な方法:
- 2020年の米国大統領選挙におけるフェイスブックユーザーの総計データ (20800万人の米国ユーザー) の分析.
- 政治ニュースへの潜在的曝露,実際の曝露,ユーザーの関与の比較
- メタの第三者事実確認プログラムデータを用いて誤った情報を特定します.
主要な成果:
- 高いイデオロギー的な分離が観察され,潜在的な暴露から関与まで増加しました.
- アシンメトリックな隔離と 独特で保守的なニュースコーナー
- 誤った情報の大部分は 保守派が支配するニュースコーナーに集中しています
結論:
- フェイスブックのプラットフォームのデザインとアルゴリズムの策定は 政治ニュースにおける重要なイデオロギー的な分離に貢献しています
- 保守的なオンライン空間内では 誤った情報が特異的に集中しています
- こうしたパターンは 誤った情報の拡散と 政治的な議論の断片化に 懸念を喚起しています
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