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The Socio-Moral Image Database (SMID): A novel stimulus set for the study of social moral and affective processes

机译:社会道德形象数据库(SMID):旨在研究社会道德和情感过程的新颖刺激

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摘要

A major obstacle for the design of rigorous, reproducible studies in moral psychology is the lack of suitable stimulus sets. Here, we present the Socio-Moral Image Database (SMID), the largest standardized moral stimulus set assembled to date, containing 2,941 freely available photographic images, representing a wide range of morally (and affectively) positive, negative and neutral content. The SMID was validated with over 820,525 individual judgments from 2,716 participants, with normative ratings currently available for all images on affective valence and arousal, moral wrongness, and relevance to each of the five moral values posited by Moral Foundations Theory. We present a thorough analysis of the SMID regarding (1) inter-rater consensus, (2) rating precision, and (3) breadth and variability of moral content. Additionally, we provide recommendations for use aimed at efficient study design and reproducibility, and outline planned extensions to the database. We anticipate that the SMID will serve as a useful resource for psychological, neuroscientific and computational (e.g., natural language processing or computer vision) investigations of social, moral and affective processes. The SMID images, along with associated normative data and additional resources are available at .
机译:设计严格,可重复的道德心理学研究的主要障碍是缺乏合适的刺激方案。在这里,我们介绍社会道德图像数据库(SMID),这是迄今为止组装的最大的标准化道德激励集,其中包含2,941张免费提供的照片图像,代表了广泛的道德(和情感)正面,负面和中性内容。 SMID经过来自2,716名参与者的820,525项独立判断的验证,目前可用于所有图像的规范性评级涉及情感效价和唤醒,道德错误以及与道德基础理论所提出的五个道德价值观的相关性。我们针对(1)评分者间共识,(2)评分精度和(3)道德内容的广度和变异性对SMID进行全面分析。此外,我们提供了针对有效研究设计和可重复性的使用建议,并概述了计划中的数据库扩展。我们预计SMID将为社会,道德和情感过程的心理,神经科学和计算(例如自然语言处理或计算机视觉)研究提供有用的资源。 SMID图像以及相关的规范数据和其他资源可在访问。

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