Social Networks and Protest Participation: Evidence from 130 Million Twitter Users

Pinning down the role of social ties in the decision to protest has been notoriously elusive, largely due to data limitations. Social media and their global use by protesters offer an unprecedented opportunity to observe real‐time social ties and online behavior, though often without an attendant measure of real‐world behavior. We collect data on Twitter activity during the 2015 Charlie Hebdo protest in Paris, which, unusually, record real‐world protest attendance and network structure measured beyond egocentric networks. We devise a test of social theories of protest that hold that participation depends on exposure to others' intentions and network position determines exposure. Our findings are strongly consistent with these theories, showing that protesters are significantly more connected to one another via direct, indirect, triadic, and reciprocated ties than comparable nonprotesters. These results offer the first large‐scale empirical support for the claim that social network structure has consequences for protest participation.     

Commentary on Foubert, Godin, & Tatum (2010): the evolution of sexual violence prevention and the urgency for effectiveness

Foubert, Godin, and Tatum describe qualitative effects among college men of The Men's Program, a one-session sexual violence prevention program. This article and the program it describes are representative of many sexual violence prevention programs that are in practice and provide an opportunity for a brief discussion of the development and evaluation of sexual violence prevention approaches. In this commentary, we will focus on two considerations for an evolving field: the adherence to the principles of prevention and the use of rigorous evaluation methods to demonstrate effectiveness. We argue that the problem of sexual violence has created urgency for effective prevention programs and that scientific and prevention standards provide the best foundation to meet this need.     

The distribution of annual and long-run U.S. earnings, 1981-2004

Numerous authors have presented evidence of increased dispersion in the distribution of annual earnings in the United States from the late 1970s through 2004 or later. However, the dispersion of long-run earnings measured over many years has received relatively little attention because of the limited availability of appropriate data. This article uses the Social Security Administration's Continuous Work History Sample, which documents the earnings histories of 3.3 million workers, to examine changes in both the annual and the long-run distributions of earnings during 1981-2004 for men and women. For men, the results indicate an increase in long-run earnings inequality of roughly the same magnitude as the trend seen in annual earnings dispersion, but there has been very little increase in the dispersion of long-run earnings among women. If calculations are restricted to a sample of women who work every year of the observation period, a trend of increased earnings dispersion emerges, but much less so than that observed for men.     

Encryption and the loss of patient data

Fast‐paced IT advances have made it increasingly possible and useful for firms to collect data on their customers on an unprecedented scale. One downside of this is that firms can experience negative publicity and financial damage if their data are breached. This is particularly the case in the medical sector, where we find empirical evidence that increased digitization of patient data is associated with more data breaches. The encryption of customer data is often presented as a potential solution, because encryption acts as a disincentive for potential malicious hackers, and can minimize the risk of breached data being put to malicious use. However, encryption both requires careful data management policies to be successful and does not ward off the insider threat. Indeed, we find no empirical evidence of a decrease in publicized instances of data loss associated with the use of encryption. Instead, there are actually increases in the cases of publicized data loss due to internal fraud or loss of computer equipment. © 2011 by the Association for Public Policy Analysis and Management.     

Human trafficking revisited: legal,enforcement and ethnographic narratives on sex trafficking to Western Europe

In this paper we focus on the ways ‘victims’ and ‘perpetrators’ are imagined in the narratives on women who have been trafficked to West Europe for sexual exploitation. Three specific domains: international/national law, local law enforcement and ethnographic academic perspective are particularly important as they strongly influence political reaction to trafficking and describe the phenomenon from the perspective of the individuals concerned. In our analysis, an explanation of the diversity of the perceptions in these three domains is provided.     

License plate reader (LPR) police patrols in crime hot spots: an experimental evaluation in two adjacent jurisdictions

Objectives  

This randomized controlled experiment tests whether license plate readers (LPR) deter crime generally, and automobile crime more specifically in crime hot spots. The limited intervention tested here reflects one current likely use of LPR at the time of this publication.     

TRAINING,SKILLS, AND PRACTICES OF PARENTING COORDINATORS: FLORIDA STATEWIDE STUDY

This report details findings from the nation's first statewide study on parenting coordination. A survey was presented to all known practicing parenting coordinators (PCs) in Florida (N = 207), with 67 (32%) responding. Data concerning PC demographics, how PCs do their work, and how they perceive their clients at different stages of the parenting coordination process suggest substantial similarity between mental health and family law professionals in almost every realm of questioning. Study limitations, implications for further research, and practice considerations are discussed.     

Score-based likelihood ratios for handwriting evidence

Score-based approaches for computing forensic likelihood ratios are becoming more prevalent in the forensic literature. When two items of evidential value are entangled via a scorefunction, several nuances arise when attempting to model the score behavior under the competing source-level propositions. Specific assumptions must be made in order to appropriately model the numerator and denominator probability distributions. This process is fairly straightforward for the numerator of the score-based likelihood ratio, entailing the generation of a database of scores obtained by pairing items of evidence from the same source. However, this process presents ambiguities for the denominator database generation - in particular, how best to generate a database of scores between two items of different sources. Many alternatives have appeared in the literature, three of which we will consider in detail. They differ in their approach to generating denominator databases, by pairing (1) the item of known source with randomly selected items from a relevant database; (2) the item of unknown source with randomly generated items from a relevant database; or (3) two randomly generated items. When the two items differ in type, perhaps one having higher information content, these three alternatives can produce very different denominator databases. While each of these alternatives has appeared in the literature, the decision of how to generate the denominator database is often made without calling attention to the subjective nature of this process. In this paper, we compare each of the three methods (and the resulting score-based likelihood ratios), which can be thought of as three distinct interpretations of the denominator proposition. Our goal in performing these comparisons is to illustrate the effect that subtle modifications of these propositions can have on inferences drawn from the evidence evaluation procedure. The study was performed using a data set composed of cursive writing samples from over 400 writers. We found that, when provided with the same two items of evidence, the three methods often would lead to differing conclusions (with rates of disagreement ranging from 0.005 to 0.48). Rates of misleading evidence and Tippet plots are both used to characterize the range of behavior for the methods over varying sized questioned documents. The appendix shows that the three score-based likelihood ratios are theoretically very different not only from each other, but also from the likelihood ratio, and as a consequence each display drastically different behavior.