<b>Worldwide Escalation of Pickup Artist (PUA) Culture and Its Aggravation of Violent Crime Risks</b>

This study scrutinized a comprehensive examination of the Pickup Artist (PUA) culture and its spatiotemporal developmental trends. Since the 1970s, PUA culture has undergone significant evolution, increasingly associating with extremist ideologies and normalized violence, thereby undermining contemporary gender equality and societal harmony. Addressing the current academic gap due to the absence of official, standardized large-scale data, this study delineated the unclear global prevalence and spatiotemporal distribution trends of the PUA phenomenon, impeding the formulation of region-specific countermeasures. Drew on a dataset of 33 million entries from the world's largest PUA forum (https://www.pick-up-artist-forum.com/), this research employed open-source natural language processing tools such as Gensim and Perspective, alongside manual review methods, for systematic error correction and categorization of PUA data. Building on this, the study utilized multidimensional mathematical convex hull methods for extrapolating the effectiveness and representativeness of geospatial data points related to PUA activities, offering an in-depth analysis of the global spatiotemporal distribution characteristics, regional heterogeneity, and potential societal risks of PUA culture. To mitigate uncertainties inherent in methodologies, data, and mathematical assumptions, this study integrated multiple machine learning models (Xgboost, Adaboost, etc.) with game-theory-based Shap for attribution analysis and contribution parsing of PUA indices and types across different countries and regions, revealing the impact of income levels, education, religious control, and political trust on PUA culture. Integrating theoretical frameworks from psychology, sociology, and emergency management, this research illuminated the evolutionary trends of different types of PUAs over the past decades. Moreover, using methods like Moran I, this study examined the spatial correlation between PUA indices and violent crime incidents. Furthermore, under the premised of continuity, smoothness, and serial dependence required by spatial breakpoint regression, this study employed quasi-experimental spatial breakpoint regression and controlled variable methods based on experimentation for causal inference analysis between PUA indices and violent crime incidents. The empirical findings of this study provide a theoretical and empirical foundation for managers and readers to collaboratively develop effective intervention strategies and social policies, advocating the necessity of educational, legal, and societal interventions to mitigate the risks of regional heterogeneity in gender discrimination and protect potential victims from manipulation and exploitation.本研究对搭讪艺术家（Pickup Artist，PUA）文化及其时空发展趋势展开了全面审视。自20世纪70年代以来，PUA文化经历了显著演变，愈发与极端主义思潮及常态化暴力行为挂钩，进而对当代性别平等与社会和谐造成破坏。鉴于当前因缺乏官方标准化大规模数据而存在的学术研究空白，本研究厘清了此前尚不明确的PUA现象全球流行态势及时空分布趋势——这一空白此前曾制约针对性区域应对举措的制定。本研究依托全球最大PUA论坛（https://www.pick-up-artist-forum.com/）的3300万条数据条目数据集，采用Gensim、Perspective等开源自然语言处理工具，并结合人工审核方法，对PUA相关数据开展系统性纠错与分类标注工作。在此基础上，本研究采用多维数学凸包方法，对PUA活动相关地理空间数据点的有效性与代表性进行外推推演，并深入剖析了PUA文化的全球时空分布特征、区域异质性及潜在社会风险。为降低方法、数据及数学假设中固有的不确定性，本研究整合Xgboost、Adaboost等多种机器学习模型与基于博弈论的Shap方法，对不同国家与地区的PUA指标及类型开展归因分析与贡献度解析，揭示了收入水平、教育程度、宗教管控与政治信任度对PUA文化的影响机制。本研究整合心理学、社会学与应急管理学的理论框架，阐明了近数十年来不同类型PUA的演变趋势。此外，本研究借助莫兰I（Moran I）指数等方法，分析了PUA指标与暴力犯罪事件之间的空间相关性。进一步地，在满足空间断点回归所需的连续性、平滑性与序列相关性前提条件下，本研究采用准实验空间断点回归法与基于实验设计的控制变量法，对PUA指标与暴力犯罪事件之间的因果关系开展推断分析。本研究的实证结果为管理者与相关从业者协同制定有效干预策略与社会政策提供了理论与实证基础，同时倡导通过教育、法律与社会层面的干预手段，降低性别歧视的区域异质性风险，保护潜在受害者免受操控与剥削。