詐欺師,ボット,およびオンライン研究におけるデータの完全性に対するその他の脅威:文献の範囲レビューとベストプラクティスの勧告
Isabella B Strickland1, Amy K Ferketich1,2, Alayna P Tackett2,3
1College of Public Health, The Ohio State University, 1841 Neil Ave, Columbus, OH, 43210, United States, 1 6142924647.
Online journal of public health informatics
|August 29, 2025
まとめ
洗練されたボットや不正な参加者から データの完全性に対する脅威が増加しています ビデオ会議のような認証方法は有効ですが,プライバシーに関する懸念を提起し,最新の研究プロトコルが必要になります.
科学分野:
- オンラインでヒトを対象とする研究
- データの完全性とセキュリティ
- 研究倫理
背景:
- オンラインでのヒト対象の研究は,データの完全性に対する洗練された脅威にますます脆弱です.
- ボットや詐欺参加者などの問題を緩和する既存のテクニックには 総合的な統合が欠けています
- これらの脅威は近年,より広範囲に広がり,より深刻になっています.
研究 の 目的:
- オンライン研究におけるデータの完全性を保護するための最近の方法と倫理的検討の範囲を調査する.
- オンラインでのヒト被験者研究におけるデータの完全性に対する脅威に対処するための既存の文献を統合する.
主な方法:
- 体系的なPubMed検索により,2020年から2024年の間に出版された90件の英語記事が見つかりました.
- 記事の焦点はオンラインでのヒト対象の研究で,データの完全性に対する脅威に関する専門的な議論でした.
- オンラインデータの完全性への脅威に対処するための16の異なるテクニックをカタログにしました.
主要な成果:
- 個人情報を認証する技術 (ビデオ会議など) は,詐欺参加者に対して高い効果を示しているが,倫理的な課題を提起している.
- CAPTCHAやIPアドレスのチェックのような一般的な方法は 先進的な脅威に対してますます不十分です
- データの完全性に対する様々なアプローチを強調した16のテクニックが特定されました.
結論:
- オンライン研究プロトコルは 洗練されたボットや 詐欺的な参加者に対抗するために 進化しなければなりません
- プライバシーや参加者の負担などの倫理的な考慮と データの整合性のバランスを取ることは 極めて重要です
- 信頼性の高いオンライン研究データを維持するには,方法の継続的な適応が不可欠です.
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