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Predicting Hate Crime Reporting to Police

Predicting Hate Crime Reporting to Police
Author: Heather Zaykowski
Publisher: ProQuest
Total Pages:
Release: 2008
Genre: Hate crimes
ISBN: 9780549753599

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Significant variation among the legal and scholarly definitions of hate crimes impact how these crimes are measured. Although scholars tend to use the Uniform Crime Reports to understand the scope of hate crime in the United States, these data suffer from limitations due to this lack of conformity as well as the future of local agencies to submit hate crime statistics. Furthermore, a crime has to be reported to police to be counted in the UCR data. Using the National Crime Victimization Survey (NCVS) 1992-2005, this paper examines the factors related to police reporting behavior by violent hate crime through analyzing the demographic (gender, race, education, age, urban location) and the contextual characteristics of the incident (victim-offender relationship, severity: injury to victim, weapon used, multiple offenders). Particular attention was given to racial hate crimes to investigate differences within hate crime victimization categories. Understanding the mechanisms of police reporting behavior is important because the failure of victims to contact authorities undermines the ability of the criminal justice system to appropriately punish hate crime offenders and effectively deter future incidents. Supporting previous studies on victimization reporting, severity of the incident, gender and offenders unknown to the victim significantly and substantially increased reporting likelihood. Most interestingly, race did not dramatically impact reporting behavior for total hate crime, but had a significant and substantial effect on racial hate crime. Victimizations of Whites were more than 50 percent more likely to be reported than Non-White victimizations for racial hate crime.


Hate Crime Statistics

Hate Crime Statistics
Author:
Publisher: DIANE Publishing
Total Pages: 119
Release: 1994-03
Genre:
ISBN: 0788105361

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Charts, tables and graphs.


The Measurement of Hate Crimes in America

The Measurement of Hate Crimes in America
Author: Frank S. Pezzella
Publisher: Springer Nature
Total Pages: 133
Release: 2020-10-23
Genre: Social Science
ISBN: 303051577X

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Using data from the Uniform Crime Reporting Hate Crime Statistics Program and the National Crime Victimization Survey, this brief highlights the uniqueness of hate or bias crime victimization. It compares these to non-bias crimes and delineates the situational circumstances that distinguish bias from non-bias offending. The nuances of under-reporting shed light on bias-group and victim reasons for not reporting. By examining measurement issues associated with data collection systems, this brief helps explain why eighty-nine percent of participating law enforcement agencies report zero hate crimes each year. It describes patterns and trends in reporting the volume of general bias motivations and specific bias types, as the most prevalent hate crime offense types and most likely victims and offenders. With recommendations to address issues in measurement and under-reporting, including an action plan by the Enhance the Response to Hate Crimes Advisory Committee and the International Association of Chiefs of Police, a best practice model by the Oak Creek Police Department, and other promising law enforcement reporting models, this brief provides an increasingly critical resource for law enforcement practitioners and researchers dealing with hate crimes.


Predictive Crime Analysis using R

Predictive Crime Analysis using R
Author: Jeffrey Strickland
Publisher: Lulu.com
Total Pages: 345
Release: 2019-02-14
Genre: Law
ISBN: 0359431593

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Predictive Crime Analysis using R is Dr. Strickland's second crime analysis book. In this volume, rather than using data to describe crime history, he uses it to predict crime using pattern created with advanced clustering methods, crime series linkage, and text analysis. Coverage includes prediction of conventional crime and terrorist attacks. The open-source software R is introduced and used in developing crime data, including Geo-spatial data, and constructing predictive models and performing post analysis. Using actual crime data from cities like Atlanta, Dr. Strickland also shows how to simulate additional data from actual data. Simulated data can then be used in cities with insufficient actual data, but with similar demographics and human behavior.


Policing in the Era of AI and Smart Societies

Policing in the Era of AI and Smart Societies
Author: Hamid Jahankhani
Publisher: Springer Nature
Total Pages: 282
Release: 2020-07-17
Genre: Social Science
ISBN: 3030506134

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Chapter “Predictive Policing in 2025: A Scenario” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


Hate Crime Data Collection Guidelines and Training Manual

Hate Crime Data Collection Guidelines and Training Manual
Author: Law Enforcement Law Enforcement Support Section
Publisher: Createspace Independent Publishing Platform
Total Pages: 78
Release: 2016-08-18
Genre:
ISBN: 9781537142739

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This manual is intended to assist law enforcement agencies in reporting incidents of hate crime to the FBI Uniform Crime Reporting (UCR) Program. It addresses policy, the types of bias crime to be reported, how to identify a hate crime and guidelines for reporting hate crime. Since 1991, thousands of city, college and university, county, state, tribal, and federal law enforcement agencies have voluntarily participated in the hate crime data collection. It is the law enforcement officers within these agencies who investigate offenses, determine those motivated by bias, and report them as known hate crimes that have made crucial contributions to the success of the hate crime data collection. Without their continued support and participation in identifying bias-motivated crimes, the FBI would be unable to annually publish Hate Crime Statistics. This partnership and, ultimately, this publication serve as the cornerstone in raising the nation's awareness about the occurrence of bias-motivated offenses.


Hate Crimes in California

Hate Crimes in California
Author: California. State Auditor (2013- )
Publisher:
Total Pages: 74
Release: 2018
Genre: Hate crime investigation
ISBN:

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The Psychology of Hate Crimes as Domestic Terrorism

The Psychology of Hate Crimes as Domestic Terrorism
Author: Edward W. Dunbar
Publisher: Bloomsbury Publishing USA
Total Pages: 1121
Release: 2016-11-21
Genre: Law
ISBN: 1440839077

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In this three-volume set, an international team of experts involved in the research, management, and mitigation of hate-motivated violence examines and explains hate crimes in the United States and around the globe, drawing comparisons between countries as well as between hate crimes overall and domestic terrorism. The Psychology of Hate Crimes as Domestic Terrorism: U.S. and Global Issues takes a hard look at hate crimes both domestically and internationally, enabling readers to see similarities and disparities as well as to make the connections between hate crimes and domestic terrorism. The entries in this three-volume set discuss subjects such as the psychology and motivation in hate crimes, the cultural norms that shape tolerance of outgroups or tolerance of hate, and the fact that hate crimes are a pervasive form of domestic terrorism, as well as myriad issues of proliferation, public policy, policing, law and punishment, and prevention. The set opens with an introduction that discusses hate crime research and examines issues of identification of the bias element of hate crimes via empirical and case vignettes. The subsequent chapters discuss subjects such as the socio-demographic profiles of hate crime offenders; hate crime legislation and policy in the United States; the effects of hate crime on their victims as well as society; the incidence of hate crime in specific regions, such as Europe, the Middle East, and South America; and programs and therapeutic interventions to heal victims. Readers will also learn how specific educational approaches in communities, schools, and universities can be implemented to help prevent future escalation of hate-motivated violence.


Predictive Modeling of Categorical Data and Modeling Dependence for Hate Crime Occurrences in New York City

Predictive Modeling of Categorical Data and Modeling Dependence for Hate Crime Occurrences in New York City
Author: Brandon Moore
Publisher:
Total Pages: 0
Release: 2023
Genre: Crime forecasting
ISBN:

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Can machine learning and statistical methods determine the risk of hate crime for demographics in New York City? How can data science inform local policy and action on combating hate crimes? Modelling hate crime occurrences yields less-than-promising levels of accuracy, but there is a clear and significant connection between certain demographics and the bias challenges they face. This analysis is conducted through a series of predictive models such as neural networks and support vector machines, chi square tests, loglinear models, and dependence modeling, and uses packages including tidyverse, ggplot2, caret, MASS, lubridate, sf, maditr, and tigris. The NYC data contains 1,810 hate crime reports (2018-2022) distinguished by county, a specific and broader bias category, and a binary misdemeanor/felony variable. The primary hate crime data is supplemented by demographical data of the counties within NYC, collected from 2015 Census data. This includes population data, percentages of different demographics, income and poverty levels, and more.-- Abstract.