Bioinformatics Approach to Assess the Biogeographical Patterns of Soil Communities: The Utility for Soil Provenance,

Soil DNA profiling has potential as a forensic tool to establish a link between soil collected at a crime scene and soil recovered from a suspect. However, a quantitative measure is needed to investigate the spatial/temporal variability across multiple scales prior to their application in forensic science. In this study, soil DNA profiles across Miami‐Dade, FL, were generated using length heterogeneity PCR to target four taxa. The objectives of this study were to (i) assess the biogeographical patterns of soils to determine whether soil biota is spatially correlated with geographic location and (ii) evaluate five machine learning algorithms for their predictive ability to recognize biotic patterns which could accurately classify soils at different spatial scales regardless of seasonal collection. Results demonstrate that soil communities have unique patterns and are spatially autocorrelated. Bioinformatic algorithms could accurately classify soils across all scales with Random Forest significantly outperforming all other algorithms regardless of spatial level.     

The Accuracy of Public Beliefs about Crime Further Evidence

Criminologists largely agree that public beliefs about crime are inaccurate, and some seem willing to abandon crime reduction as a policy goal in favor of strategies which directly affect public perceptions of crime. Yet direct tests of the accuracy of public beliefs about crime are rare. In a sample survey of Tucson adults, respondents were asked to estimate the percentage of Tucson juveniles who had committed each of fifteen offenses (i.e., the categorical rates of the offenses) and the offender sex ratio for each offense. Responses were compared with self-reported data from students in three Tucson high schools. Among the fifteen offenses there is remarkable agreement between the perceived categorical rates, sex ratios, and the self-reported figures. Taken in conjunction with earlier studies, these findings suggest that strategies designed to reduce the social consequences of crime by altering public beliefs about crime are unlikely to succeed unless they are accompanied by true reductions in the crime rate.     

Change and influence in popular criminology: Public attributions of crime causation

Researchers who have examined the historical development of societal responses to crime and criminals have emphasized that opinions concerning “what to do about crime” are inextricably linked to contemporary perceptions of the causes of criminality. Moreover, these causal attributions have shifted across a broad landscape over time. This article examines data from public opinion surveys conducted over the last four decades to assess the nature and extent of changes in the public's attributions of crime causation. The relationship between changing public attributions and shifts in crime control strategy is examined. Variation in causal attribution across socio-demographic characteristics of survey respondents is explored. Directions for the future in terms of crime control policy are discussed as they may be foreshadowed by historical and contemporary assessment of these public perceptions. In addition, suggestions for improvement of the methodology of further research in this ares are offered.     

The future of crime data

Criminology lacks sufficient data for many types of crime that are of great concern to society. This lack of data poses significant problems for determining whether resources are adequate for responding to these crimes or whether programmatic, legislative, or target-hardening efforts to prevent or reduce their occurrence are effective. Inadequate data about crime also produces a selective and incomplete narrative about crime that makes it easier for political and vested interests to exploit public concerns about crime for their own ends. In this address, I discuss what is needed to resolve these gaps and the ways in which criminologists can support a significant expansion of the crime data infrastructure. Such work is necessary to help ensure the future relevance of criminological research.     

The direct and indirect impacts of organized crime on youth,as offenders and victims

While organized crime has an impact on youth that is both broad and direct, frequently it has a more substantial impact as a consequence of its indirect effects that are noted particularly at the community level. This report explores the impact of both traditional and non-traditional organized criminal activities on youth. It also discusses the effect of organized crime on public perception, vulnerable youth populations, and police resource allocation including both supply and demand reduction measures. The research on organized crime in this context is limited in a number of areas. Further research on the impact of organized crime on youth, for example, should include issues related to public perception and the collection of appropriate data. An ethnographic approach could also help expand our understanding of some of the impacts. Policy regarding internal (police) and external (public) communication of the local impact of organized crime should be examined, as well as that related to data entry, police resource allocation, and the issue of supply and demand reduction.     

Crime Trends in the EU

The paper’s aim is to show to EU policy makers, academics, journalists and the general public what the available information tells us about crime levels, trends in crime and public opinion about crime among Member States. The paper centres on an analysis of current trends on crime levels and trends based on the data available both from victimisation surveys and police statistics. The victimisation survey source is the published data collected in the International Crime Victimisation Survey. A separate analysis based on the Eurobarometer was also carried out. Data on police statistics present two separate sources i.e. the Council of Europe Sourcebook and the crime data published annually by the UK Home Office. These two sources both add considerable value to the raw police statistics by their choice of data, their commentary and their technical explanations and definitions. The paper compares data on three crime types (robbery, domestic burglary and theft of a motor vehicle) across the 15 Member States of the European Union (as in 2003). These three types were selected in line with the priorities of the EU Commission and as types of crime that are a major concern for EU-citizens. The paper has been modified from a report produced by the European Crime prevention network for the EU Directorate of Justice and Home Affairs with the permission of the EU. The members of the network are listed in the appendix.     

The public salience of crime, 1960–2014: Age–period–cohort and time–series analyses†

The public salience of crime has wide-ranging political and social implications; it influences public trust in the government and citizens’ everyday routines and interactions, and it may affect policy responsiveness to punitive attitudes. Identifying the sources of crime salience is thus important. Two competing theoretical models exist: the objectivist model and the social constructionist model. According to the first, crime salience is a function of the crime rate. According to the second, crime salience is a function of media coverage and political rhetoric, and trends in crime salience differ across population subgroups as a result of differences in their responsiveness to elite initiatives. In both theories, period-level effects predominate. Variation in crime salience, however, may also reflect age and cohort effects. Using data from 422,504 respondents interviewed between 1960 and 2014, we first examine the nature of crime salience using hierarchical age–period–cohort (HAPC) models and then analyze period-level predictors using first differences. We find that 1) crime salience varies mostly at the period level; 2) crime salience trends are parallel (cointegrated) across demographic, socioeconomic, and partisan groups; and 3) crime salience trends within every population subgroup are most consistent with the constructionist model. The crime rate does not exert a significant effect in any subgroup.     

Crime Volume and Law and Order Culture

The literature on public opinion about crime and justice has neglected the exploration of macro‐ or community‐level influences on individual‐level attitudes. A key macrofactor that may be related to individual level attitudes is the volume of violent crime. High crime rates can facilitate the development of a culture of “law and order,” a response that may be a practical or instrumental attempt to control crime. The present paper tests the hypothesis that persons residing in nations marked by a high volume of crime will be more likely to adhere to elements of a law and order culture. It employs data from the International Social Science Program (N = 15,024). Controls are taken from major theoretical perspectives on public opinion about crime as well as demographic factors. The results from a hierarchical linear model support the hypothesis that individuals residing in nations with high crime rates are more likely than others to support law and order ideologies. The findings extend the support for this relationship from research based on the US alone to other industrialized societies.     

Presidential rhetoric on cybercrime: links to terrorism?

Abstract

Presidents often give speeches about crime issues as a way to convince the public that there are significant problems for which an easy solution can be found. Studies have shown that presidential rhetoric on crime not only influences the public’s perception of the problem, but also the perception of the best solution. More recent research has demonstrated that presidents sometimes draw on the public’s fear of crime as a way to further affect the public’s perception of crime. In other words, presidents link crime with the public’s anxiety about other fearful events as a way to further impact the public’s perception of a problem (and thus further their agenda). This study examines presidential rhetoric on cybercrime to determine if executives link cybercrime with other issues such as national security. The findings provide credibility to both Cavelty’s threat frames approach as well as assertions made regarding the politics of fear.     

Politics and white collar crime: Explaining government intervention in the Savings and Loan Scandal

The Savings and Loan Scandal of the 1980s was the biggest crime ever perpetrated in the United States. While several studies have examined the causes of the crime (e.g., deregulation, increase of insurance coverage to $100,000, fluctuations in the economic markets, greed), few scholars to date have studied state intervention in the industry after the crime had been committed. We explore the questions of when and how state managers intervene in the actions of the powerful by supplementing state theory with the literature on the social construction of social problems. Revised version of a paper presented at the annual meeting of the American Society of Criminology, Miami, November 1994. The authors would like to thank the College of Criminal Justice of Sam Houston State University for financial support in searching newspaper data bases and Henry Pontell for comments on an earlier version of this paper.     

Using Dasymetric Mapping for Spatially Aggregated Crime Data

With availability of crime data to the public via sources such as the Uniform Crime Reports, and increasing geographic information system (GIS) capabilities for mapping crime, macro-level studies of crime have advanced knowledge of how crime is distributed over large areas. Choropleth mapping, commonly used in macro-level studies, visually displays data by assigning the number of crimes or crime rate to the corresponding spatial unit and using different shades or textures for each value or classified values creating a thematic map. However, crime incidents or crime rates are not dispersed evenly within spatial units, and choropleth mapping masks the underlying nuances of the distribution. Artificial boundaries, along with variations in the size of the unit of analysis, can further distort the true distribution of crime. Dasymetric mapping provides a methodology for refining the distribution of crime within a spatial unit. It does so by using additional data, such as land use and census data, to provide a realistic estimate of how crime may be distributed within the units of analysis. Dasymetric mapping is also useful in creating density maps to reveal clusters of crime normally masked with choropleth maps. This paper will show how dasymetric mapping can estimate the spatial distribution of aggregate level residential burglary within political boundaries in Massachusetts based on land use and housing data.     

The rise of the Red Mafia in China: a case study of organised crime and corruption in Chongqing

‘Red Mafia’ is the collective term for corrupt public officials in mainland China, mainly from the criminal justice system, who attempt to monopolise the protection business in the criminal underworld by abusing power. In contemporary mainland China, the Red Mafia has developed into an alternative system of governance that can control organised crime groups, enable them to flourish, and protect them where strong government and effective self-protection associations are absent. The author examines organised crime and corruption by analysing the Wen Qiang case, one of the most famous and widely publicised cases in Chongqing’s latest crime crackdown campaign. Drawing on interview data and extensive published materials, this paper offers a tentative definition of ‘Red Mafia’, develops a typology of organised crime, describes the emergence of the Red Mafia in China, explores how gangsters developed relationships with public officials, suggests why organised crime groups chose the Red Mafia as their preferred protection and enforcement mechanism, examines patterns of services provided, and explores the differences between the Red Mafia and other Mafia groups.     

THE RELATIONSHIP OF POLICE AND CRIME

This study develops a model to measure the impact of police expenditure on crime rates across cities. It specifically allows for the two-way relationship between police and crime. Other things being equal, cities with more police per capita should have lower crime rates, if police reduce crime. Simultaneously, the higher the crime rate, the greater the public demand for police. In its final formations, the model contains two identifiable equations with two endogenous variables, police expenditure per capita and the crime rate. Following a discussion of the reliability of crime statistics, the model is estimated by two-stage least squares, using FBI crime data for 119 cities in 1960. These two-stage results are compared with ordinary least-square estimation results and are found to be clearly superior.     

Patterns of violent specialization: Predictors of recidivism for a cohort of parolees

Historically, there has been interest in the unfolding of criminal careers, especially in the persistence, specialization, and prediction of violent recidivism. Specialization in violent crime is particularly important as both the public and politicians have called for longer sentences, incapacitation, and prison expansion for violent offenders. However, research on the specialization of violent crime has been largely overlooked in spite of its importance to criminal justice practitioners and public interest. To examine the specialization in crime, this research uses data collected in Ohio in 1989 on a cohort of 3,353 parolees released from prison. Specialization is defined as the exclusive admission to prison for a violent crime with a subsequent violent recidivism offense. Logistic regression is used to delineate predictors of violent specialization. Race, county of commitment, age at release, time served, number of prior felony convictions, and number of prior parole revocations are found to be related to violent specialization.     

Sex offender residence restriction laws: Parental perceptions and public policy

Despite a steady decline in sex crime over the past twenty years, new laws, such as residence restrictions, targeting such crime have proliferated. Some scholars have argued that public concern about sexual offending against young children has served as a catalyst for the emergence of these laws. Few studies, however, have empirically tested this claim. To address this gap and to contribute to scholarship on public opinion about crime and justice, this research tests a central implication flowing from prior work—namely, the notion that people with children will be more likely to endorse increased restrictions on where sex offenders can live. Analyses of public opinion data from a 2006 poll of Florida residents suggest that parents are indeed significantly more likely to support such restrictions. Implications of the study for research and policy are discussed.     

论互联网时代诽谤罪的公诉范围

我国刑法对诽谤罪采取自诉为主、公诉为补充的双轨制模式。由于刑法但书“严重危害社会秩序和国家利益”的公诉依据具有模糊性,同时司法解释本身缺乏解释力和可操作性,存在同义解释、近义解释等问题,加剧了公诉诽谤罪和其他罪名之间的冲突和竞合,特别是当被害人为地方领导干部时,诽谤罪的公诉权在实务中存在被滥用风险,部分限制公诉权的要件在实务中被淡化甚至忽略。从相对狭义的角度看,“严重危害社会秩序和国家利益”只有在行为人对侵犯个体法益具备主观故意,但对侵犯社会法益或国家法益不具备主观故意(或无法证明其具备故意)的情形下,才有其独特的法律适用价值并不与刑法其他罪名相冲突。为妥善处理和平衡诽谤犯罪中惩治犯罪和保障人权的关系,适应互联网时代的内外部变化,建议通过修改我国刑法,将诽谤罪区分为情节不严重、情节严重、情节特别严重的三种形态,为充分保障宪法权利,情节不严重的不作为犯罪处罚;为充分保障自诉权,情节严重的为绝对告诉乃论;为依法惩治犯罪,对符合特定形式要件和实质要件,情节特别严重的诽谤犯罪可以依法公诉,以维护网络信息秩序。     

集资诈骗罪的司法困境与罪群立法完善

集资诈骗罪一方面被认定为特殊诈骗罪,与诈骗罪表现为一般与特殊的关系,另一方面又被当作“加重型”非法吸收公众存款罪。因此在刑事司法过程中出现了“骗”与“被骗”的构成要件缺失却依然构成集资诈骗罪、非法吸收公众存款罪中的“欺骗”与集资诈骗罪中的“诈骗”混淆不清、两罪以“非法占有目的”为区分标准的主观化趋势的问题,从而导致“非法占有目的”在被扩大化的同时又被弱化,进而造成集资诈骗罪被矮化、限缩。应从金融秩序法益的立场,回归集资诈骗罪的金融犯罪属性,重塑诈骗罪与集资诈骗罪的关系,明确“欺骗”“诈骗”的同质性,增设“骗取集资款罪”,调整非法吸收公众存款罪的规制范围,构建体系化的集资诈骗罪罪名群,化解集资诈骗罪刑罚供应过度与不足并存的尴尬。     

Public criminologies

Research Summary Public scholarship aspires to bring social science home to the individuals, communities, and institutions that are its focus of study. In particular, it seeks to narrow the yawning gap between public perceptions and the best available scientific evidence on issues of public concern. Yet nowhere is the gap between perceptions and evidence greater than in the study of crime. Here, we outline the prospects for a public criminology, conducting and disseminating research on crime, law, and deviance in dialogue with affected communities. We present historical data on the media discussion of criminology and sociology, and we outline the distinctive features of criminology—interdisciplinary, a subject matter that incites moral panics, and a practitioner base actively engaged in knowledge production—that push the boundaries of public scholarship. Policy Implications Discussions of public sociology have drawn a bright line separating policy work from professional, critical, and public scholarship. As the research and policy essays published in Criminology & Public Policy make clear, however, the best criminology often is conducted at the intersection of these domains. A vibrant public criminology will help to bring new voices to policy discussions while addressing common myths and misconceptions about crime.     

The Impact of the Terrorist Attacks of 9/11 on Anti-Islamic Hate Crime

Abstract

Using existing data from the FBI's Uniform Crime Reporting (UCR) Program, time series analyses were conducted on hate crime data from 2001 around the terrorist attacks of September 11, 2001. A statistically significant increase in anti-Islamic hate crime occurred after 9/11, and anti-Islamic hate crime leveled off within 8 weeks of the occurrence. News stories reporting anti-Islamic hate crimes, stories reporting fear of such bias crime, and public calls for calm, tolerance, and/or reaction to anti-Islamic bias crime followed a similar pattern found within the official data. A city-by-city analysis found that UCR reported anti-Islamic hate crime was essentially non-existent in New York City and Washington, DC. It is suggested that public calls for calm and tolerance and in-group/out-group dynamics may have impacted anti-Islamic hate crime frequency, thus accounting for rises and reductions in this form of bias crime over time.     

从现实到虚拟:计算机侵入禁止规范的构成及适用——兼论计算机同意

计算机侵入禁止源自于传统的侵入禁止规范。在大数据、云计算、cookies技术的背景下,该罪构成要件要素的"访问",应采最广义的发送信息说,主要应由"未经授权"限制该禁止规范。由于互联网协议已明确规定网络具有开放性,所以,计算机同意通常等同于机主同意。当计算机不使用公共域名或者使用第三方软件为用户访问设置了现实障碍时,被告人使用第三方软件或者规避认证制度而进行的访问,会被视为是事实欺诈,计算机同意因有别于机主同意而无效,行为构成未经授权的访问。越权访问实际上是违约行为,即使其构成欺诈,但由于计算机产生认识错误的对象通常并非是访问行为本身,而是其回报或者意义,所以,被害人同意仍然有效。这也是刑法原则上不干预违约行为的规范原因。然而,当违约行为违反预期功能、义务冲突和合理预期等标准,而动摇了同意的基础时,则会使其由诱因欺诈变成事实欺诈,被害人同意无效,行为通常会构成犯罪。