Patton Desmond U, Patel Sadiq, Hong Jun Sung, Ranney Megan L, Crandall Marie, Dungy Lyle
Violence Vict. 2017 Oct 1;32(5):919-934. doi: 10.1891/0886-6708.VV-D-16-00040. Epub 2017 Aug 15.
The aim of this study is to determine the frequency of violent and criminal Twitter communications among gang-affiliated individuals in Detroit, Michigan. We analyzed 8.5 million Detroit gang members' tweets from January 2013 to March 2014 to assess whether they contained Internet banging-related keywords. We found that 4.7% of gang-affiliated user tweets consisted of terms related to violence and crime. Violence and crime-related communications fell into 4 main categories: (a) beefing (267,221 tweets), (b) grief (79,971 tweets), (c) guns (3,551 tweets), and (d) substance use and distribution (47,638 tweets). Patterns in violent and criminal communication that may be helpful in predicting future gang activities were identified, which has implications for violence prevention research, practice, and policy.
本研究的目的是确定密歇根州底特律市与帮派有关联的个体在推特上进行暴力和犯罪交流的频率。我们分析了2013年1月至2014年3月期间底特律市850万帮派成员的推文，以评估这些推文是否包含与网络冲突相关的关键词。我们发现，4.7%的与帮派有关联的用户推文包含与暴力和犯罪相关的词汇。与暴力和犯罪相关的交流可分为4大类：（a）冲突（267,221条推文），（b）悲痛（79,971条推文），（c）枪支（3,551条推文），以及（d）毒品使用和分销（47,638条推文）。研究确定了暴力和犯罪交流中可能有助于预测未来帮派活动的模式，这对暴力预防研究、实践和政策具有启示意义。
