COVID-19に関連するフェイクニュースをフェイスブックで共有する調査データ
Cristiane Melchior1,2, Thierry Warin3, Mírian Oliveira2
1Department of Social Sciences, School of Engineering Sciences, Lappeenranta-Lahti University of Technology (LUT), Yliopistonkatu 34, Lappeenranta 53850, Finland.
Data in brief
|February 18, 2026
まとめ
この研究では,FacebookでのCOVID-19フェイクニュースの共有に影響を与える要因を調査しています. データは,誤った情報の拡散に影響を与えるユーザーの人口統計,信頼,識字率,および社会的動機を明らかにします.
科学分野:
- コンピューティング社会科学
- 危機的状況でのコミュニケーション
- 公衆衛生は公衆衛生である.
背景:
- フェイスブックのCOVID-19に関する誤った情報は,公衆衛生上の大きな課題となっています.
- フェイクニュースを共有するユーザーの行動を理解することは,効果的な介入策の開発に不可欠です.
研究 の 目的:
- FacebookでCOVID-19のフェイクニュースを共有する要因を調査するデータセットを記述する.
- ユーザー行動,信頼,デジタルリテラシー,社会的影響の分析のためのデータを研究者に提供する.
主な方法:
- 調査データは,338件の有効な回答 (2022年11月 - 2023年1月) と55件の追加回答 (2024年5月まで) から収集されました.
- 措置には,自己報告されたフェイクニュース共有 (FNS),信頼 (TR),識字能力 (LS),友人による情報共有の動機付け (MFSI) が含まれる.
- 人口統計データ (年齢,性別,教育) も収集されました.
主要な成果:
- このデータセットは,フェイクニュースを共有する予測要因の定量的かつ質的な分析を可能にします.
- これは,自己評価されたデジタルリテラシーと,信頼できない情報源への信頼の役割の検討を可能にします.
- 情報の共有行動に対する社会的動機の影響を探求する.
結論:
- このデータセットは,健康危機の際にオンラインで誤った情報を研究する研究者のための貴重なリソースとなります.
- フェイクニュースの拡散における個人と社会的要因の複雑な相互作用の理解を深める.
- 健康に関する誤った情報と闘うためのターゲットを絞った戦略の開発を支援する.
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