Crime analysis

The current use of social media platforms has expanded to wider audiences, including police departments and other law enforcement agencies. The vast material being posted online may lead to it being used by police departments due to social media information being open-sourced. The following study will investigate the police’s use of social media data by collecting qualitative data from crime analysts through the International Association of Crime Analysts (IACA). Participants completed an openended survey describing their experience with collecting data from online social media sources and how it is used to assist with police activity. The results have implications for future research, such as further exploring the methods by which police are expanding their data collection. Caution may be required when sharing information online. Results from the study may inspire future research regarding the privacy and ethical considerations of using social media data collected from the public.

Community-oriented policing implementation has been examined under the
context of large agencies whereas the literature on smaller agencies has ultimately been
lagging behind The purpose of this study is therefore to examine the degree of
community policing implementation within these smaller agencies, controlling for
characteristics derived from the theory of social disorganization, to gather further insight
into what variables may be impacting crimes rates Pearson correlation and OLS
regression analysis is employed to obtain the necessary results The findings indicate that
although community-policing implementation does not significantly impact or explain
the variation of crime rates in small cities, the statistically significant results of particular
social disorganization characteristics should be an indicator of the need to incorporate
theory with practice

Poorly integrated crime analysis may be a detriment to crime reduction efforts and financial resources. The purpose of this research is to identify deficiencies and successes in crime analysis integration and to understand which agency factors are related. Using the Stratified Model of Problem Solving, Analysis, and Accountability and data from a national PERF survey of police agencies, this study quantifies the levels of production and consumption-based integration disconnect as well as other important agency factors. To determine which agency factors contribute most to integration disconnect, bivariate correlation and multiple regression analyses are used to examine the relationships, while controlling for agency type, centralization, officers per analyst, crimes per officer, and agency size. Findings indicate that production- and consumption-based disconnect are positively related to one another and that passive patrol-analyst interactions, an agency’s analysis integration disconnect.