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

社交媒体的兴起使得人格研究人员能够开发出一种方法，仅根据一个人的社交媒体个人资料，使用五大框架来捕捉他的个性。尽管这些努力在商业和理论发展方面取得了丰硕成果，但它们并不直接促进社区、社会和政府的利益。这些利益可能包括减少在道德上有问题或完全应受谴责的行为，如暴力、犯罪、腐败、审查、宣传以及政治或意识形态极端主义。为此，拟议的研究方案的第一个目标是使用社交媒体数据来捕捉与感兴趣的社会结果直接相关的个性特征。这样的人格特征是自恋、精神病和马基雅维里主义的特征分类--所谓的黑暗三合会(DT)。在建立了仅从社交媒体档案中获取DT得分的可靠算法之后，研究方案的第二个目标将是利用这些信息产生理论和应用影响：建立不同地区DT特征的标准模式，确定与DT相关的干预可能最有效的地理热点，并通过在DT特征的背景下测试人与环境匹配假设来研究个性驱动的移民模式。

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.