Effects of victims' characteristics on attitudes toward hate crimes

Hate crimes are motivated by perpetrators' prejudice toward targets' group. To examine individuals' attitudes toward hate crime perpetrators and targets, participants responded to vignettes of court cases in which the victim's group membership was varied. Results showed that participants recommended more severe sentences for perpetrators when the targets of their crimes were not White males or White females and reported those crimes as more closely fitting the definition of "hate crime." These results show that participants consider penalty enhancements appropriate for hate crimes and that they do not consider crimes against women to be hate crimes, consistent with present hate crime legislation. These results have implications for the utility and support of hate crime legislation but may showcase the resistance to expanding the legislation to protect individuals of other groups, especially women.     

The causal relationship between gang joining and violent victimization: A critical review and directions for future research

Purpose

This article provides a critical review of the state of research on the gang membership-violent victimization relationship.

Methods

This study examines a comprehensive list of published quantitative studies that have assessed the relationship between gang membership and violent victimization.

Results

By examining strengths and weaknesses of the design features of various studies, this article identifies theoretical, conceptual, methodological, and statistical issues that should be considered when interpreting the causal effect of gang membership on violent victimization. Some of the methodological and design issues discussed include, but are not limited to, consequences of failing to establish temporal order, failure to conduct sensitivity analyses to determine treatment effects, use of bootstrapping methods with propensity score analysis, measurement of violent victimization, and corrections for dependence in matched samples of gang and non-gang members.

Conclusion

Suggestions for future research are provided that will help advance the empirical study of the gang membership-violent victimization nexus.     

Implications for Criminal Justice from the 2002 and 2006 Department of Defense Gender Relations and Sexual Harrasment Surveys

Sexual misconduct has emerged as a widespread problem throughout the criminal justice system as indicated by law enforcement officer sexual assault incidents in various cities and the findings of the recent National Prison Rape Elimination Act Research Commission. Through multivariate statistical analysis of data from two Department of Defense-wide surveys (2002 and 2006), this paper examines the indicators and cofounders of sexism, sexual harassment, and sexual assault with attention to change during the study period. Findings inform a suggested anticipatory model for prevention and intervention in military settings that, based on shared characteristics such as male dominance and authoritarian culture, provide an approximate reference context for criminal justice sexual misconduct best practices consideration.     

The Impact of Pro-Government Militias on Human Rights Violations

New data show that between 1982 and 2007, in over 60 countries governments were linked to and cooperated with informal armed groups within their own borders. Given the prevalence of these linkages, we ask how such links between governments and informal armed groups influence the risk of repression. We draw on principal-agent arguments to explore how issues of monitoring and control help understanding of the impact of militias on human rights violations. We argue that such informal agents increase accountability problems for the governments, which is likely to worsen human rights conditions for two reasons. First, it is more difficult for governments to control and to train these militias, and they may have private interests in the use of violence. Second, informal armed groups allow governments to shift responsibility and use repression for strategic benefits while evading accountability. Using a global dataset from 1982 to 2007, we show that pro-government militias increase the risk of repression and that the presence of militias also affects the type of violations that we observe.     

Turf wars: Using social media network analysis to examine the suspected astroturfing campaign for the Adani Carmichael Coal mine on Twitter

This article uses social media network analysis (SMNA) to examine whether there was an astroturfing campaign on Twitter in support of the Adani Carmichael coal mine in 2017. It shows that SMNA can be used to visualize and analyze outsider lobbying activity in issue arenas and is capable of identifying networks of fake opinion. This study found that in April 2017, there was a small network of accounts that made a series of suspiciously similar pro‐Adani tweets that could be considered a form of duplicitous lobbying. However, this study concludes that these posts were likely a weak influence on public opinion in Australia and largely ineffectual as a lobbying tactic. Nevertheless, this analysis shows how communitas public interests can be subverted by covert social media campaigns used in support of corporatas goals, as well as the role digital research methods can play in protecting the integrity on public debates by exposing disingenuous actors.     

Accountability in Public Management Networks: An Analysis of Cost Monitoring in Chicago Municipal Networks

Public management networks (PMNs) continue to proliferate as governance becomes more complex, and so does the need to hold them accountable. Agency and collaboration theories provide a solid foundation, but additional constructs are necessary to adapt to this dynamic era. Building from Bovens et al. (2008), the authors offer an ecological framework of third-party accountability that incorporates a number of prominent accountability theories under the same construct. Employing a mixed-methods research design that examines eight local PMNs in the Chicago region, the study finds that an exemplar accountability mechanism—additional cost monitoring—occurs more often in situations predicted by the framework. Additionally, qualitative interviews of network participants suggest that cost structures can differ by network type, which is verified quantitatively.