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Updated: Sep 9, 2025

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YouTubeのユーザー生成コンテンツが,ニュース配信と若者の情報受信に与える影響
Wu Chunqiong1, Jiang Shan1, Sun Jianhong2
1School of Economics and Management, Yango University, Fuzhou, Fujian Province, China.
まとめ
YouTubeのユーザー生成コンテンツ (UGC) はニュースのエンゲージメントと信頼を大幅に高めますが,アルゴリズムの影響と誤った情報にはリスクがあります. メディアリテラシーが デジタルニュースの消費を 効率的に管理する上で不可欠です
科学分野:
- デジタルメディア研究
- コミュニケーション研究
- 情報科学
背景:
- YouTubeのユーザー生成コンテンツ (UGC) は,ニュースの拡散を変えており,信頼性,アルゴリズムによる影響,そして誤った情報に関する懸念を高めています.
- UGCのエンゲージメント,信頼,アルゴリズムの認識がデジタルニュース消費パターンにどのように影響するか理解する上で研究ギャップが存在します.
研究 の 目的:
- デジタルニュース消費に対するUGCのエンゲージメント,信頼,アルゴリズム意識の影響を調査する.
- UGCニュースのユーザーエンゲージメントと信頼を 伝統的なニュースソースと比較するために
- YouTubeのUGCニュースの 誤った情報の広がりを分析するために
主な方法:
- 調査 (n=100),質的インタビュー,およびYouTubeのニュースビデオ200のコンテンツ分析を統合したコンバーゲント並列混合方法の設計.
- ANOVA,多変数回帰,構造方程式モデリング (SEM) を用いた定量分析.
- 統計的発見を文脈化するための定性的なテーマ分析
主要な成果:
- UGCのニュース消費 (M=3.21) と信頼 (M=3.48) は従来のニュースソース (M=2.95とM=3.12) を上回った.
- UGCのエンゲージメントは信頼 (β=0.42,p<0.001) と正に相関し,アルゴリズムの影響は信頼 (β=-0.33,p=0.015) に負の影響を与えた.
- センセーショナルなUGCコンテンツはより高いエンゲージメントを示したが,誤った情報を含むビデオの38.0%は信頼性が低い.
結論:
- プラットフォームの透明性,コンテンツの検証,政策の介入は,エンゲージメントアルゴリズムとニュースの信頼性のバランスをとるのに必要です.
- メディア・リテラシー・イニシアチブは ユーザーにUGCニュースを 批判的に評価する力を 与えることです
- 誤った情報に対処し,デジタルニュース環境への信頼を高めるには,多面的なアプローチが必要です.
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