Hasil untuk "Social pathology. Social and public welfare. Criminology"

Vidya Eswaran, Raphael Cohen, Taylor Kaser et al.

Abstract Background Individuals who have been incarcerated are at high risk of death by homicide after release from carceral settings. Our study aimed to assess the prevalence of criminal legal system involvement (CLSI) among non-fatal violently injured patients enrolled in a hospital-based violence intervention (HVIP) program and describe demographic and clinical characteristics specific to this population. Methods This is an exploratory retrospective cohort study of all patients enrolled in the St. Louis, Missouri based HVIP, Life Outside of Violence (LOV), between 08/15/2018 and 12/31/2024. LOV enrolls patients aged 8–30 who receive violent injury care at a partner hospital. We collected data on patient demographics, substance use, self-reported CLSI, source of medical care, and other clinical and social variables. We compared characteristics between participants with and without CLSI status using two proportions Z-tests and basic bootstrapping. Results During the study period 67 of 206 participants (33%) reported CLSI. Individuals with CLSI were more likely to be men (difference 37.7%; 95%CI 25.2%, 50.2%), uninsured (difference 28.9%; 95%CI 14.7%, 43.0%), and to use the emergency department (ED) or urgent care as their primary source of care (difference 18.6%; 95%CI 4.2%, 33.0%). Conclusion These data show evidence for the intersectionality of CLSI and experiencing violent injury among ED patients. These data suggest the need for injury prevention efforts among this population, and potentially targeted case management for this population after injury.

Othmane Essoubaiy, Adnane Hakem, Faiza Chbel et al.

Background/Objectives: The Casablanca-Settat region of Morocco, located at the interface between Arab and Amazigh cultural zones, has only recently been investigated using autosomal short tandem repeat (STR) markers. The objective of this study was to characterize the genetic diversity and forensic efficiency of 15 autosomal STR loci in the Casablanca-Settat population and to evaluate its genetic relationships with other Moroccan populations. Methods: Fifteen autosomal STR loci were genotyped in 138 unrelated Arabic-speaking individuals from the Casablanca-Settat region. Allele frequencies, Hardy–Weinberg equilibrium, and standard forensic parameters were calculated. The genetic structure of the population was further examined through comparative analyses with 12 previously published Moroccan reference populations using multivariate and phylogenetic approaches. Results: A total of 146 distinct alleles were identified across the 15 loci. D18S51 was the most polymorphic marker (Ho = 0.9203), whereas D3S1358, TPOX, D5S818, and D16S539 exhibited lower allelic diversity. No statistically significant deviation from Hardy–Weinberg equilibrium was detected after correction for multiple testing. The combined power of discrimination exceeded 0.99, and the combined power of exclusion reached 0.99999965, demonstrating the high forensic efficiency of the STR panel. Population structure analyses positioned the Casablanca-Settat population within an intermediate genetic cluster, closely related to central Moroccan populations, consistent with historical gene flow and admixture. Conclusions: This study provides robust autosomal STR reference data for the Casablanca-Settat population, confirming the suitability of these markers for forensic identification in Morocco and offering valuable insights into regional population structure and genetic diversity.

Lynnette Hui Xian Ng, Kathleen M. Carley

Societies can become a conspiratorial society where there is a majority of humans that believe, and therefore spread, conspiracy theories. Artificial intelligence gave rise to social media bots that can spread conspiracies in an automated fashion. Currently, organizations combat the spread of conspiracies through manual fact-checking processes and the dissemination of counter-narratives. However, the effects of harnessing the same automation to create useful bots are not well explored. To address this, we create BotSim, an Agent-Based Model of a society in which useful bots are introduced into a small world network. These useful bots are: Info-Correction Bots, which correct bad information into good, and Good Bots, which put out good messaging. The simulated agents interact through generating, consuming and propagating information. Our results show that, left unchecked, Bad Bots can create a conspiratorial society, and this can be mitigated by either Info-Correction Bots or Good Bots; however, Good Bots are more efficient and sustainable than Info-Correction Bots . Proactive good messaging is more resource-effective than reactive information correction. With our observations, we expand the concept of bots as a malicious social media agent towards automated social media agent that can be used for both good and bad purposes. These results have implications for designing communication strategies to maintain a healthy social cyber ecosystem.

Henrique Britto de Melo, Júlia Pagnussat, William Weber Cecconello et al.

O interrogatório é um procedimento rotineiramente utilizado na investigação policial. Entretanto, há uma lacuna científica sobre técnicas de interrogatório baseadas em evidências utilizadas no Brasil. Esta revisão narrativa reúne bibliografia referente ao uso de técnicas de interrogatório e respectivos resultados práticos de sua eficácia. Primeiro, analisamos a abordagem acusatória, método que utiliza a indução de estresse no suspeito, com o objetivo de analisar supostos indicadores de mentira e obter uma confissão. Estudos da Psicologia Cognitiva demonstram que esta abordagem reúne informações pouco confiáveis e pode gerar falsas confissões. Como alternativa, propõe-se a abordagem com foco na coleta de informações, que visa uma cooperação com o suspeito e busca incentivá-lo a falar sem a utilização de coerção. Ao final, explicamos como a Psicologia Cognitiva tem auxiliado a tornar as práticas de interrogatórios mais eficazes em outros países, sugerindo possíveis caminhos para o Brasil.

Essam Saleh

This study aims at investigating the effect of a training program based on playing on alleviating some behavioral disorders among the educable intellectually disabled students in Rafha Province in the Kingdom of Saudi Arabia. The importance of this study lies in presenting a training program based on playing to reduce social withdrawal. According to the scientific research, social withdrawal can be treated using the behavior modification methods regardless of the reasons that cause this disorder. Social withdrawal is a common behavioral pattern among the majority or almost all the intellectually disabled people. This social withdrawal behavior is caused by different factors. If the child suffers from a damaged central nervous system, he will not be able to perform the activities needed for treatment. The scientific research state that social withdrawal can be reduced using the behavior modification methods. The current study aims at investigating the effect of a training program based on playing on reducing the social withdrawal among the intellectually disabled children. To achieve this goal a training program based on playing has been designed and applied to an experimental group made of (4) students for six weeks, a daily session for six days every week.

Dan Myles, Daniel Bennett, Adrian Carter et al.

Introduction: Losses disguised as wins (LDWs) are a salient type of losing outcome common to electronic gambling machines (EGMs). These events occur when a gambling payout is less than the amount wagered (i.e., a net loss) but is nonetheless accompanied by the sounds and animations that accompany genuine wins. Previous lab-based studies have reported that participants tend to overestimate genuine wins when LDWs are present. This study reports an independent replication of these findings in a large online sample that included a substantial number of individuals reporting high-risk gambling and frequent EGM users. Methods: This online study recruited a sample of 940 participants who were randomly assigned to view one of two brief videos. Each video displayed a short period of simulated online slot machine gambling and included 2 genuine wins and either 3 or 0 LDWs. Participants were asked to estimate the number of times a win occurred that was more than the amount bet. Participants also completed the Problem Gambling Severity Index. Results: The mean estimated number of genuine wins was significantly larger for the condition displaying LDWs, 3.02 [95% CI = 2.82, 3.21] than the control condition, 2.14 [1.98, 2.30], t(887.66) = 6.78, d = 0.44, p <.001. Conclusions: We replicated the LDW‐triggered win overestimation effect previously reported in lab-based experiments that have recruited smaller samples. This effect was robust in both low-risk and high-risk groups, indicating that even experienced gamblers remain susceptible. Exploratory modelling suggested only a minority of individuals were uninfluenced by LDWs.

Dra. Vera Regina Pereira de Andrade

Neste artigo desenvolvo uma reflexão sobre as relações entre Criminologia crítica e feminista no Brasil, apontando para as interações e acúmulos até aqui produzidos, vistos como necessários, mas insuficientes, assim como para as tensões e os separatismos que têm vertido a melhor Criminologia em pedaços. Desta forma, postulo um salto qualitativo nesse campo traduzido na construção de uma Criminologia para a brasilidade, alicerçada numa aliança que recolhendo o contributo daquele acúmulo, na forma de uma interação criativa, se edifique a partir das estruturas fundacionais da nossa sociedade, tendo como vértice a sua História. A História como Mãe terra dessa Criminologia.

Noa Krawczyk, Bianca D. Rivera, Ji E. Chang et al.

Abstract Background Acute-care interventions that identify patients with substance use disorders (SUDs), initiate treatment, and link patients to community-based services, have proliferated in recent years. Yet, much is unknown about the specific strategies being used to support continuity of care from emergency department (ED) or inpatient hospital settings to community-based SUD treatment. In this scoping review, we synthesize the existing literature on patient transition interventions, and form an initial typology of reported strategies. Methods We searched Pubmed, Embase, CINAHL and PsychINFO for peer-reviewed articles published between 2000 and 2021 that studied interventions linking patients with SUD from ED or inpatient hospital settings to community-based SUD services. Eligible articles measured at least one post-discharge treatment outcome and included a description of the strategy used to promote linkage to community care. Detailed information was extracted on the components of the transition strategies and a thematic coding process was used to categorize strategies into a typology based on shared characteristics. Facilitators and barriers to transitions of care were synthesized using the Consolidated Framework for Implementation Research. Results Forty-five articles met inclusion criteria. 62% included ED interventions and 44% inpatient interventions. The majority focused on patients with opioid (71%) or alcohol (31%) use disorder. The transition strategies reported across studies were heterogeneous and often not well described. An initial typology of ten transition strategies, including five pre- and five post-discharge transition strategies is proposed. The most common strategy was scheduling an appointment with a community-based treatment provider prior to discharge. A range of facilitators and barriers were described, which can inform efforts to improve hospital-to-community transitions of care. Conclusions Strategies to support transitions from acute-care to community-based SUD services, although critical for ensuring continuity of care, vary greatly across interventions and are inconsistently measured and described. More research is needed to classify SUD care transition strategies, understand their components, and explore which lead to the best patient outcomes.

Hayeong Song, Zhengyang Qi, John Stasko et al.

Social media (i.e., Reddit) users are overloaded with people's opinions when viewing discourses about divisive topics. Traditional user interfaces in such media present those opinions in a linear structure, which can limit users in viewing diverse social opinions at scale. Prior work has recognized this limitation, that the linear structure can reinforce biases, where a certain point of view becomes widespread simply because many viewers seem to believe it. This limitation can make it difficult for users to have a truly conversational mode of mediated discussion. Thus, when designing a user interface for viewing people's opinions, we should consider ways to mitigate selective exposure to information and polarization of opinions. We conducted a needs-finding study with 11 Reddit users, who follow climate change threads and make posts and comments regularly. In the study, we aimed to understand key limitations in people viewing online controversial discourses and to extract design implications to address these problems. Our findings discuss potential future directions to address these problems.

Guro Øydgard, Jeanette Pedersen

When the COVID-19 pandemic reached Norway in March 2020, comprehensive action was taken by the government, leading to the lockdown of welfare institutions, schools and kindergartens, and strict restrictions on physical meetings. This had severe consequences for Child Welfare Protection services (CWP). The restrictions stopped child welfare protection home visits and professionals in other welfare institutions, which usually observe children and notify child welfare protection services, were no longer able to identify children at risk. This article, drawing on interviews with 10 social workers, explores their experience during COVID-19. Applying Lipsky’s concept of street-level bureaucrats and theories of professional identity, the article documents how COVID-19 not only restricted, but also modified social workers jobs, and led to self-reflection on their professional identity. In turn, the findings suggest the potential for beneficial changes in practices in the aftermath of COVID-19.

Johannes Jakubik, Michael Vössing, Dominik Bär et al.

The storming of the U.S. Capitol on January 6, 2021 has led to the killing of 5 people and is widely regarded as an attack on democracy. The storming was largely coordinated through social media networks such as Parler. Yet little is known regarding how users interacted on Parler during the storming of the Capitol. In this work, we examine the emotion dynamics on Parler during the storming with regard to heterogeneity across time and users. For this, we segment the user base into different groups (e.g., Trump supporters and QAnon supporters). We use affective computing (Kratzwald et al. 2018) to infer the emotions in the contents, thereby allowing us to provide a comprehensive assessment of online emotions. Our evaluation is based on a large-scale dataset from Parler, comprising of 717,300 posts from 144,003 users. We find that the user base responded to the storming of the Capitol with an overall negative sentiment. Akin to this, Trump supporters also expressed a negative sentiment and high levels of unbelief. In contrast to that, QAnon supporters did not express a more negative sentiment during the storming. We further provide a cross-platform analysis and compare the emotion dynamics on Parler and Twitter. Our findings point at a comparatively less negative response to the incidents on Parler compared to Twitter accompanied by higher levels of disapproval and outrage. Our contribution to research is three-fold: (1) We identify online emotions that were characteristic of the storming; (2) we assess emotion dynamics across different user groups on Parler; (3) we compare the emotion dynamics on Parler and Twitter. Thereby, our work offers important implications for actively managing online emotions to prevent similar incidents in the future.

R. I. M. Dunbar, Valerio Arnaboldi, Marco Conti et al.

We use data on frequencies of bi-directional posts to define edges (or relationships) in two Facebook datasets and a Twitter dataset and use these to create ego-centric social networks. We explore the internal structure of these networks to determine whether they have the same kind of layered structure as has been found in offline face-to-face networks (which have a distinctively scaled structure with successively inclusive layers at 5, 15, 50 and 150 alters). The two Facebook datasets are best described by a four-layer structure and the Twitter dataset by a five-layer structure. The absolute sizes of these layers and the mean frequencies of contact with alters within each layer match very closely the observed values from offline networks. In addition, all three datasets reveal the existence of an innermost network layer at ~1.5 alters. Our analyses thus confirm the existence of the layered structure of ego-centric social networks with a very much larger sample (in total, >185,000 egos) than those previously used to describe them, as well as identifying the existence of an additional network layer whose existence was only hypothesised in offline social networks. In addition, our analyses indicate that online communities have very similar structural characteristics to offline face-to-face networks.

Hilde Dahl

Abstract: Homicides are rare in Norway; the country’s homicide rate is among the lowest in the world (UNODC, 2013). This might be why homicides always receive attention in the national news. The topic has also received attention on a governmental level. Reducing the number of homicides is an expressed goal in several official reports. However, preventive efforts require knowledge. While a handful of studies have been conducted using a variety of disciplinary approaches and methods, several recent reports point out that homicide is not a prioritized research field in Norway (NOU 2010:3; FHI rapport, 2012; JBD, 2018). This is the first article from the project »Homicides in Norway, 1955-1982, a historical-criminological study«. Studies using historical methods on homicide in the contemporary era have not previously been conducted in Norway. The projects aim is to provide historical insight into the rates and patterns of Norwegian homicide during the period 1955 to 1982, based on material originally collected by psychologist Ragnar Christensen (1922-2011) over the course of three decades.

Rahul Goel, Rajesh Sharma

Online social media (OSM) has emerged as a prominent platform for debate on a wide range of issues. Even celebrities and public figures often share their opinions on a variety of topics through OSM platforms. One such subject that has gained a lot of coverage on Twitter is the Novel Coronavirus, officially known as COVID-19, which has become a pandemic and has sparked a crisis in human history. In this study, we examine 29 million tweets over three months to study highly influential users, whom we refer to as leaders. We recognize these leaders through social network techniques and analyze their tweets using text analysis. Using a community detection algorithm, we categorize these leaders into four clusters: research, news, health, and politics, with each cluster containing Twitter handles (accounts) of individual users or organizations. E.g., the health cluster includes the World Health Organization (@WHO), the Director-General of WHO (@DrTedros), and so on. The emotion analysis reveals that (i) all clusters show an equal amount of fear in their tweets, (ii) research and news clusters display more sadness than others, and (iii) health and politics clusters are attempting to win public trust. According to the text analysis, the (i) research cluster is more concerned with recognizing symptoms and the development of vaccination; (ii) news and politics clusters are mostly concerned with travel. We then show that we can use our findings to classify tweets into clusters with a score of 96% AUC ROC.

Justin Hart, Reuth Mirsky, Xuesu Xiao et al.

Most current approaches to social navigation focus on the trajectory and position of participants in the interaction. Our current work on the topic focuses on integrating gaze into social navigation, both to cue nearby pedestrians as to the intended trajectory of the robot and to enable the robot to read the intentions of nearby pedestrians. This paper documents a series of experiments in our laboratory investigating the role of gaze in social navigation.

M. A. Barchiesi, A. Fronzetti Colladon

This study uses an innovative measure, the Semantic Brand Score, to assess the interest of stakeholders in different company core values. Among others, we focus on corporate social responsibility (CSR) core value statements, and on the attention they receive from five categories of stakeholders (customers, company communication teams, employees, associations and media). Combining big data methods and tools of Social Network Analysis and Text Mining, we analyzed about 58,000 Italian tweets and found that different stakeholders have different prevailing interests. CSR gets much less attention than expected. Core values related to customers and employees are in the foreground.

Hanna Nel

The research on which this article is based drew a comparison between the asset-based community-led development (ABCD) approach and the more traditional needs-based approach to community development with regard to stakeholder engagement. The main finding of the qualitative study was that communities which were sensitised to ABCD were more self-motivated, self-driven and self-organised, and utilised their own assets and resources in collaboration with external assets and resources. Participants adhering to this approach tended to spell out the kind of support they wanted from external stakeholders. In comparison, in the needs- and problem-based approach, community initiatives were dependent on external funds, while organisations driving the process felt responsible for the success of community initiatives.

Chivasa, Norman , Harris, Geoffrey Thomas

Informal peace committees are community-based responsive and supportive mechanisms that deal with social issues such as interpersonal conflicts, small-scale violence, poverty, hunger and social injustice. As human-service-oriented structures designed and created to represent the interests of local people, informal peace committees have an often unseen correlation with developmental social work in tackling social issues in their host communities in Zimbabwe. This article, therefore, argues that developmental social workers should become involved in these peace committees and identify the contributions they can make as a profession in order to enhance these successful initiatives

Janne Flyghed

Solomia Fedushko, Olha Trach, Zoryana Kunch et al.

This paper deals with actual fuzzy logic approach for modelling the behavior classification of social news aggregations users. The peculiarities of the structure of informational content of communities on the basis of social news aggregations are explored. A formal model of social news aggregation model has been developed, which includes user of the social news aggregation on the basis of fuzzy measures of its characteristics. The method of behavioral classification of users and methods for structuring sections and discussions of social news aggregations are developed. The methods for determining the main characteristics of the users of the social news aggregation: activeness, creativeness, attractiveness, reactiveness, loyalty, is developed. Method for defining characteristics and classification of social news aggregations users is presented.