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Finding the good through the evil: An In-depth Geo-Exploration of the Dark Triad in the Age of Social Media

透过邪恶寻找善良：社交媒体时代黑暗三合会的深入地理探索

基本信息

批准号：
2884937
负责人：
金额：
--
依托单位：
University of Cambridge
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2023
资助国家：
英国
起止时间：
2023 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2884937
关键词：
Finding good through evil depth

项目摘要

The rise of social media has allowed personality researchers to develop ways to capture a person's personality, using the Big Five framework, based solely on their social media profile. As fruitful as these efforts have been for commercial and theoretical developments, they do not directly facilitate the interests of communities, societies and governments. Such interests might comprise reducing morally questionable, or downright reprehensible, behaviours, such as violence, crime, corruption, censorship, propaganda and political or ideological extremism. To that effect, the first goal of the proposed research programme is to use social media data to capture a personality profile that is directly related to societal outcomes of interest. Such a personality profile is the trait triage of narcissism, psychopathy and Machiavellianism - the so-called Dark Triad (DT). Upon establishing a reliable algorithm for capturing DT scores from a social media profile alone, the second aim of the research programme will be to use this information to create both theoretical and applied impact: establish normative patterns for DT traits over different geographies, identify geographical hotspots where DT-related interventions might be most effective, and study personality-driven migration patterns by testing the person-environment fit hypothesis in the context of DT traits.

社交媒体的兴起使人格研究人员能够开发出捕捉一个人的个性的方法，利用大五人格框架，仅仅基于他们的社交媒体资料。尽管这些努力在商业和理论发展方面取得了丰硕成果，但它们并没有直接促进社区、社会和政府的利益。这些利益可能包括减少道德上有问题的或彻头彻尾应受谴责的行为，如暴力、犯罪、腐败、审查制度、宣传以及政治或意识形态极端主义。为此，拟议研究计划的第一个目标是利用社交媒体数据捕捉与感兴趣的社会结果直接相关的个性概况。这样的人格特征是自恋、精神病和马基雅维利主义的特征分类，即所谓的黑暗三人格（DT）。在建立了一个可靠的算法，仅从社交媒体个人资料中获取DT分数后，研究计划的第二个目标将是利用这些信息来创造理论和应用影响：建立不同地域DT特征的规范模式，确定DT相关干预措施最有效的地理热点，并在DT特征背景下通过检验人-环境拟合假设来研究人格驱动的迁移模式。