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通过数字干预促进在线亲社会行为的框架。

A framework for promoting online prosocial behavior via digital interventions.

作者信息

Grüning David J, Kamin Julia, Panizza Folco, Katsaros Matthew, Lorenz-Spreen Philipp

机构信息

Heidelberg University, Heidelberg, Germany.

GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany.

出版信息

Commun Psychol. 2024 Jan 11;2(1):6. doi: 10.1038/s44271-023-00052-7.

Abstract

Digital interventions for prosocial behavior are increasingly being studied by psychologists. However, academic findings remain largely underutilized by practitioners. We present a practical review and framework for distinguishing three categories of digital interventions--proactive, interactive, and reactive--based on the timing of their implementation. For each category, we present digital, scalable, automated, and scientifically tested interventions and review their empirical evidence. We provide tips for applying these interventions and advice for successful collaborations between academic researchers and practitioners.

摘要

心理学家越来越多地研究促进亲社会行为的数字干预措施。然而,从业者在很大程度上仍未充分利用学术研究成果。我们基于实施时间提出了一个实用的综述和框架,以区分三类数字干预措施——主动型、互动型和反应型。对于每一类,我们都介绍了数字化、可扩展、自动化且经过科学测试的干预措施,并综述了它们的实证证据。我们提供了应用这些干预措施的小贴士以及关于学术研究人员与从业者成功合作的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eaa5/11332127/3cb19c6259e7/44271_2023_52_Fig1_HTML.jpg

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