Social Network Intelligence Analysis to Combat Street Gang Violence

“EBK”：利用众包社交媒体数据量化芝加哥当代南区超本地化帮派归属如何塑造个人网络与暴力

"EBK" : Leveraging Crowd-Sourced Social Media Data to Quantify How Hyperlocal Gang Affiliations Shape Personal Networks and Violence in Chicago's Contemporary Southside

本研究针对芝加哥南区帮派暴力研究中警方数据粒度不足的问题，通过自然语言处理分析帮派留言板文本构建社交网络，发现个体跨邻近帮派分支联结及核心网络位置、与受害者关联会提升受害风险，为小众群体研究提供新路径。

Early Identification of Violent Criminal Gang Members

Gang violence is a major problem in the United States accounting for a large fraction of homicides and other violent crime. In this paper, we study the problem of early identification of violent gang members. Our approach relies on modified centrality measures that take into account additional data of the individuals in the social network of co-arrestees which together with other arrest metadata provide a rich set of features for a classification algorithm. We show our approach obtains high precision and recall (0.89 and 0.78 respectively) in the case where the entire network is known and out-…

Violent music vs violence and music: Drill rap and violent crime in London

The current policy of removing drill music videos from social media platforms such as YouTube remains controversial because it risks conflating the co-occurrence of drill rap and violence with a causal chain of the two. Empirically, we revisit the question of whether there is evidence to support the conjecture that drill music and gang violence are linked. We provide new empirical insights suggesting that: i) drill music lyrics have not become more negative over time if anything they have become more positive; ii) individual drill artists have similar sentiment trajectories to other artists in…

识别帮派相关社交媒体传播时的词汇偏差理解

Understanding Lexical Biases when Identifying Gang-related Social Media Communications

针对帮派相关推文中的非标准语言与伦理数据难题，本文用芝加哥样本训练二元 logistic 分类器，证明 NLP 可识别需社区照护者，并揭示词汇偏差对模型性能和人群区分的影响。

Penetrating a Social Network: The Follow-back Problem

Modern threats have emerged from the prevalence of social networks. Hostile actors, such as extremist groups or foreign governments, utilize these networks to run propaganda campaigns with different aims. For extremists, these campaigns are designed for recruiting new members or inciting violence. For foreign governments, the aim may be to create instability in rival nations. Proper social network counter-measures are needed to combat these threats. Here we present one important counter-measure: penetrating social networks. This means making target users connect with or follow agents deployed …