Search results

Dating It Safe is a longitudinal cohort study of 1,042 youth in southeast Texas. Primarily freshmen high school students were recruited and assessed in the spring of 2010. Follow-up waves were collected annually each spring from 2011 through 2017 (Waves 2-8). The primary aims of this research study were to examine the:

• longitudinal association between the three different forms of teen dating violence (TDV; i.e., physical violence, psychological abuse, and sexual aggression), and
• risk and protective factors of TDV perpetration and victimization.

This study examines the radicalization of Western women to extremist violence, both through the creation of a moral-situational-action risk model and the examination of their responses to various types of online propaganda. The Moral-Situational-Action Risk Model for Extremist Violence (MSA-RMEV) was developed using situational action theory from criminology and violence risk practice literature. The MSA-RMEV revolves around three domains reflective of propensity, mobilization, and capacity building, geared towards providing a violence risk assessment that can assist the intelligence community in preventing future acts of violence.

A sample of women who self-identified as conservative, liberal, and Muslim were exposed to jihadist, alt-right, and alt-left online propaganda. Physiological responses and self-report assessments were recorded. Eye-gaze, pupil dilation, galvanic skin response, heart rate, and facial emotions were documented, along with women's judgment of their emotional, cognitive, and arousal states, while viewing propaganda.

Based on their results, women were categorized as high-risk, medium-risk, or low-risk for violence. Additionally, numerous variables were created to identify participant's beliefs and behavior related to radicalization. Beliefs included religiosity, political affiliation, the presence of moral emotions, sacred values, developmental maturity, and militant thinking. Behaviors included group affiliations, extent of involvement in extremist activities, and presence on social media platforms such as Facebook, Reddit, and Twitter. Demographic variables such as age, marital status, number of children, race, ethnicity, country of origin, and educational status were included.

This project convened experts and practitioners in the areas of program evaluation, radicalization to violent extremism, and social media analytics in order to generate and integrate scientifically derived knowledge into strategies for effective prevention and intervention against domestic radicalization and violent extremism in the United States. More specifically, we generated substantive evaluation data, which can be used by practitioners and policy makers to enhance the creation and dissemination of effective counter-narratives for reducing the threat of ideologically-motivated violence in the US. We used a mixed-methods approach to evaluate an existing nationwide initiative, Peer-to-Peer (P2P): Challenging Extremism, which aims at engaging youth in countering violent extremism in schools and online arenas.

The project had four specific objectives: 1) Evaluate the content and dissemination of the P2P Initiative social media products, 2) evaluate the impact of the P2P Initiative on youth engaged in its development, 3) evaluate the impact of youth exposure to the P2P educational activities, and 4) assess the drivers of success and barriers in the implementation of the initiative.

To complete these objectives, the following research phases were conducted:

A secondary review of 150 P2P social media products created between fall 2015 and spring 2017, including data on end-users interactivity.

Phone and in-person group interviews with faculty and students engaged in the P2P Initiative.

A prospective cohort study evaluating the impact of the Kombat with Kindness (KWK) campaign on Utah secondary school students, using a pre-post intervention design.

A randomized control study evaluating the impact of the Operation 250 (OP250) on Massachusetts secondary school students, using a pre-post intervention design.

Phone interviews with faculty who implemented the P2P Initiative.

This three-year study used quantitative and qualitative data collected between 2003 and 2015 to assess the scale and nature of gang involvement in sex trafficking in San Diego, California. At the time of study, San Diego was ranked as one of the United States' highest areas of commercial sexual exploitation of children (CSEC). This mixed-methods study has generated the following datasets:

• Survivor Services Dataset (DS1 and DS2): A composite of intake surveys conducted by the prostitution diversion program Freedom From Exploitation (FFE) (DS1) and eight organizations that provide direct services to sex trafficking victims/survivors (DS2)
• Law Enforcement Reporting Dataset (DS3 and DS4): Booking records provided by the San Diego Sheriff's Department (DS3), and arrest records provided by the Automated Regional Justice Information System (ARJIS) (DS4)
• Schools Dataset (DS5): Summaries of focus group interviews of staff employed by San Diego County school districts (due to disclosure concerns, full transcripts were not released)
• Facilitator Interview Dataset (DS6): Summaries of interviews of incarcerated and community members with knowledge of trafficking (due to disclosure concerns, full transcripts were not released)
• Social Media Analytics Dataset (DS7): Search criteria and schema of relevant data fields for social network analysis conducted using Twitter data (due to disclosure concerns and dataset size, the social media data themselves were not released)

Survivor services, law enforcement, schools, and facilitator interview data were all collected and analyzed as part of the main NIJ award. The social media analytics data were collected and analyzed under a subaward by the SecDev Cyber Group.

In the United States, a number of challenges prevent an accurate assessment of the prevalence of hate crimes in different areas of the country. These challenges create huge gaps in knowledge about hate crime--who is targeted, how, and in what areas--which in turn hinder appropriate policy efforts and allocation of resources to the prevention of hate crime. In the absence of high-quality hate crime data, online platforms may provide information that can contribute to a more accurate estimate of the risk of hate crimes in certain places and against certain groups of people. Data on social media posts that use hate speech or internet search terms related to hate against specific groups has the potential to enhance and facilitate timely understanding of what is happening offline, outside of traditional monitoring (e.g., police crime reports). This study assessed the utility of Twitter data to illuminate the prevalence of hate crimes in the United States with the goals of (i) addressing the lack of reliable knowledge about hate crime prevalence in the U.S. by (ii) identifying and analyzing online hate speech and (iii) examining the links between the online hate speech and offline hate crimes.

The project drew on four types of data: recorded hate crime data, social media data, census data, and data on hate crime risk factors. An ecological framework and Poisson regression models were adopted to study the explicit link between hate speech online and hate crimes offline. Risk terrain modeling (RTM) was used to further assess the ability to identify places at higher risk of hate crimes offline.

Somalis in North America offer a window into the remarkable potential that can be realized by refugees/immigrants despite experiences of severe adversity as well as the challenges some subgroups encounter when adjusting to life in a new country. Somalia has endured one of the longest and most brutal wars of the past 30 years. This enduring conflict has led to millions of Somalis being dispersed as refugees across the globe. As refugees with limited resources, many Somalis in North America are resettled in poor urban neighborhoods where they are visibly different, not only because of race or ethnicity but also because of dress, especially for women who wear a Muslim head covering.

In addition, the community has been plagued by violence. While the number of Somali American youth joining these groups are small and while the majority of Somali Americans are law-abiding citizens, the terrorist groups' ability to recruit these youth and to convince some of them to engage in violent acts is concerning, not only to policymakers and law enforcement, but also to the Somali community, which fears losing more youth to violence or having the community's reputation sullied by being associated with terrorism.

While some of the social and cultural factors affecting Somalis are unique to that ethnic group, they also share experiences common to many immigrants, navigating identity development and duality as they move between home and host cultures, contending with discrimination as religious, racial and ethnic minorities, and striving to achieve their dreams while struggling to gain socioeconomic stability. Thus, understanding their developmental trajectories may inform the understanding of other immigrant and refugee groups as well.

No valid and reliable measurement for risk for violent extremism exists; there is no single profile or set of risk factors that can accurately determine who is most at risk for engaging in violent extremist acts. The study did not attempt to determine who is most at risk. Rather, the researchers sought to identify broad attitudes that would indicate a general openness to, or rejection of, the use of violence or illegal actions in support of a political cause.

The qualitative interviews feature experiences of formal (e.g. police) and informal (e.g. community) institutions over the past year. Examples of interview prompts include questions related to social bonds with family and community, and interactions with police.

This study was a cross-sectional, national (United States) survey of victims designed to help law enforcement and policymakers to better understand and respond to technology-facilitated abuse (TFA), including non-consensual pornography, sextortion, and cyberstalking. The specific goals for this study were:

1. Provide information on prevalence, offense dynamics, and levels of awareness about TFA among young adults to help inform policy on this issue.
2. Develop information on the risk and protective factors associated with TFA victimization to help direct prevention and protection factors.
3. Improve understanding of what promotes or prevents help-seeking and police reporting of TFA exposure; and obtain baseline data to allow monitoring of help-seeking improvements over time.
4. Assess costs and consequences of TFA victimization to help inform policy prioritizations and better focus intervention among victims.

This study consisted of four phases. In Phase 1, the research team conceptualized and operationalized TFA domains in consultation with subject matter experts. In Phase 2, cognitive interviews were conducted with students and staff from a large state university (n=13). In phase 3, a pilot survey was distributed and data collected from 111 respondents. Phase 4 was the full-scale administration of the final survey. Respondents were Ipsos KnowledgePanel (KP) panelists aged 18-28 (n=2,639). This collection contains only the data from the full survey.