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

A. Baranov

The article discusses the phenomenon of a leading question as an object of forensic linguistic examination. It shows that the leading question (i) contains semantic information in the form of a proposition (propositional criterion), (ii) brings information within the field of a respondent’s view (relevance criterion), and (iii) reflects the version of the described events that is desirable for an inquirer (engagement criterion). Linguistic examination allows to conclude on the fulfillment of the propositional criterion and the criterion of relevance. The criterion of engagement refers to extralinguistic knowledge and can rarely be proven as the result of the corresponding discourse analysis by linguistic instruments only. The paper analyses the examples of leading questions’ functioning in real discourse including their use in interrogations at the investigative stage and in court hearings. It highlights those segments of the semantics of ‘yes/no-’ and ‘wh-questions’ that are most often used by experienced communicators toconvey their ideas on the most likely answer to the interlocutor. Related phenomena of investigative and judicial discourse are also discussed: tips and “augmented reality” situations.The phenomenon of the leading question should be considered as the interdisciplinary one, having not only linguistic, but also psychological and legal aspects. From the methodological point of view, linguistic examination allows to identify only the linguistic features of leading questions proper – presence of a proposition and relevance (introduction of information into the view field of an addressee). Engagement as a feature of the leading question lies beyond the scope of linguistic knowledge.

Elisabetta Biondi, Chiara Boldrini, Andrea Passarella et al.

Online social networks (OSNs) have transformed the way individuals fulfill their social needs and consume information. As OSNs become increasingly prominent sources for news dissemination, individuals often encounter content that influences their opinions through both direct interactions and broader network dynamics. In this paper, we propose the Friedkin-Johnsen on Cascade (FJC) model, which is, to the best of our knowledge, is the first attempt to integrate information cascades and opinion dynamics, specifically using the very popular Friedkin-Johnsen model. Our model, validated over real social cascades, highlights how the convergence of socialization and sharing news on these platforms can disrupt opinion evolution dynamics typically observed in offline settings. Our findings demonstrate that these cascades can amplify the influence of central opinion leaders, making them more resistant to divergent viewpoints, even when challenged by a critical mass of dissenting opinions. This research underscores the importance of understanding the interplay between social dynamics and information flow in shaping public discourse in the digital age.

Helena Schiessl Cardoso, Luciene Dal Ri

Este artigo tem como objetivo investigar o modelo contemporâneo de resolução de conflitos da política criminal brasileira contemporânea diante da crise do sistema penal e da existência de reformas aparentemente antagônicas. A análise é qualitativa, com base na pesquisa bibliográfica e documental, num diálogo interdisciplinar entre direito, criminologia, sociologia e política criminal. Para tanto, este artigo contextualiza a perspectiva retributiva do sistema de justiça criminal e a legitimação do controle social penal por meio da dogmática jurídica para então problematizar o fracasso empírico das funções preventivas da pena e a naturalização da violência do sistema penal contra as classes sociais marginalizadas. Conclui que, apesar da diversidade metodológica do sistema, a hegemonia da ideologia da defesa social e do dogma do controle social penal dificultam reformas significativas no modelo de enfrentamento de situações dotadas de negatividade social, colaborando para a contínua expansão do combate bélico da criminalidade contra os inimigos da sociedade despidos de cidadania.

Serina Chang, Alicja Chaszczewicz, Emma Wang et al.

Generating social networks is essential for many applications, such as epidemic modeling and social simulations. The emergence of generative AI, especially large language models (LLMs), offers new possibilities for social network generation: LLMs can generate networks without additional training or need to define network parameters, and users can flexibly define individuals in the network using natural language. However, this potential raises two critical questions: 1) are the social networks generated by LLMs realistic, and 2) what are risks of bias, given the importance of demographics in forming social ties? To answer these questions, we develop three prompting methods for network generation and compare the generated networks to a suite of real social networks. We find that more realistic networks are generated with "local" methods, where the LLM constructs relations for one persona at a time, compared to "global" methods that construct the entire network at once. We also find that the generated networks match real networks on many characteristics, including density, clustering, connectivity, and degree distribution. However, we find that LLMs emphasize political homophily over all other types of homophily and significantly overestimate political homophily compared to real social networks.

Bing He, Yingchen Ma, Mustaque Ahamad et al.

Online misinformation poses a global risk with harmful implications for society. Ordinary social media users are known to actively reply to misinformation posts with counter-misinformation messages, which is shown to be effective in containing the spread of misinformation. Such a practice is defined as "social correction". Nevertheless, it remains unknown how users respond to social correction in real-world scenarios, especially, will it have a corrective or backfire effect on users. Investigating this research question is pivotal for developing and refining strategies that maximize the efficacy of social correction initiatives. To fill this gap, we conduct an in-depth study to characterize and predict the user response to social correction in a data-driven manner through the lens of X (Formerly Twitter), where the user response is instantiated as the reply that is written toward a counter-misinformation message. Particularly, we first create a novel dataset with 55, 549 triples of misinformation tweets, counter-misinformation replies, and responses to counter-misinformation replies, and then curate a taxonomy to illustrate different kinds of user responses. Next, fine-grained statistical analysis of reply linguistic and engagement features as well as repliers' user attributes is conducted to illustrate the characteristics that are significant in determining whether a reply will have a corrective or backfire effect. Finally, we build a user response prediction model to identify whether a social correction will be corrective, neutral, or have a backfire effect, which achieves a promising F1 score of 0.816. Our work enables stakeholders to monitor and predict user responses effectively, thus guiding the use of social correction to maximize their corrective impact and minimize backfire effects. The code and data is accessible on https://github.com/claws-lab/response-to-social-correction.

Dr. Luiz Henrique Eloy Amado, Victor Hugo Streit Vieira

Mesmo após o advento da Constituição Federal de 1988, o tratamento jurídico-penal reservado a réus, acusados e condenados indígenas continuou invisibilizando as diferenças étnico-culturais, predominando uma interpretação etnocêntrica e eurocêntrica no ato de responsabilização penal do indígena. O presente artigo prima por uma abordagem intercultural e decolonial à matéria, consolidada na Resolução 287 do Conselho Nacional de Justiça.

Lynsey Black, Lizzie Seal, Florence Seemungal et al.

This article explores the death penalty in Barbados. Drawing on the historical context and the punishment’s colonial origins, we seek to make sense of its more recent history, particularly a 2018 landmark legal judgment that has finally forced reform of the sanction in Barbados. The article explores the bifurcated penological history of the death penalty; while laws enacted in London were extended to colonial nations such as Barbados, suggesting a continuation of norms, the tools of criminal justice were wielded for different purposes in the metropole compared with the periphery. We consider the trajectory of this colonial imposition and the retention of repressive punishments after independence, the Caribbean resistance to international abolitionist pressure from the 1990s and the recent reform. The role of the death penalty as a political and symbolic tool is examined, considering especially the colonial legacy of capital punishment in Barbados and the extent to which this factor has shaped contemporary public debates on punishment.

Charles Mugisha

This paper presents a case study example of supporting students that fail social work placements in England. The author argues that struggling on a social work placement is associated with lack of emotional resilience. Secondly, a case for an emotional resilience or emotional intelligence curriculum is made. There is evidence that current social work educators and education policymakers are vaguely aware of how to develop an emotional resilience curriculum that is relevant to social work practice. This paper aims to stimulate and inform debate about the role of emotional resilience in the training of social workers and the challenges of implementing a curriculum with professional attributes of emotional intelligence.

Ruijie Xi, Munindar P. Singh

Moral reasoning reflects how people acquire and apply moral rules in particular situations. With increasingly social interactions happening online, social media data provides an unprecedented opportunity to assess in-the-wild moral reasoning. We investigate the commonsense aspects of morality in ordinary matters empirically. To this end, we examine data from a Reddit subcommunity (i.e., a subreddit) where an author may describe their behavior in a situation to seek comments about whether that behavior was appropriate. Other users comment to provide judgments and reasoning. We focus on the novel problem of understanding the moral reasoning implicit in user comments about the propriety of an author's behavior. Especially, we explore associations between the common elements of the indicated reasoning and the extractable social factors. Our results suggest the reasoning depends on the author's gender and the topic of a post, such as when expressing anger emotion and using sensible words (e.g., f-ck, hell, and damn) in work-related situations. Moreover, we find that the commonly expressed semantics also depends on commenters' interests.

Amar Khelloufi, Huansheng Ning, Abdenacer Naouri et al.

The Social Internet of Things (SIoT), is revolutionizing how we interact with our everyday lives. By adding the social dimension to connecting devices, the SIoT has the potential to drastically change the way we interact with smart devices. This connected infrastructure allows for unprecedented levels of convenience, automation, and access to information, allowing us to do more with less effort. However, this revolutionary new technology also brings an eager need for service recommendation systems. As the SIoT grows in scope and complexity, it becomes increasingly important for businesses and individuals, and SIoT objects alike to have reliable sources for products, services, and information that are tailored to their specific needs. Few works have been proposed to provide service recommendations for SIoT environments. However, these efforts have been confined to only focusing on modeling user-item interactions using contextual information, devices' SIoT relationships, and correlation social groups but these schemes do not account for latent semantic item-item structures underlying the sparse multi-modal contents in SIoT environment. In this paper, we propose a latent-based SIoT recommendation system that learns item-item structures and aggregates multiple modalities to obtain latent item graphs which are then used in graph convolutions to inject high-order affinities into item representations. Experiments showed that the proposed recommendation system outperformed state-of-the-art SIoT recommendation methods and validated its efficacy at mining latent relationships from multi-modal features.

Kai-Cheng Yang, Onur Varol, Alexander C. Nwala et al.

While social media are a key source of data for computational social science, their ease of manipulation by malicious actors threatens the integrity of online information exchanges and their analysis. In this Chapter, we focus on malicious social bots, a prominent vehicle for such manipulation. We start by discussing recent studies about the presence and actions of social bots in various online discussions to show their real-world implications and the need for detection methods. Then we discuss the challenges of bot detection methods and use Botometer, a publicly available bot detection tool, as a case study to describe recent developments in this area. We close with a practical guide on how to handle social bots in social media research.

D. Garompolo, A. Molinaro, A. Iera

In light of the growing number of user privacy violations in centralized social networks, the need to define effective platforms for decentralized online social networks (DOSNs) is deeply felt. Interesting solutions have been proposed in the past, which own the necessary mechanisms to allow users keeping control over their personal information and setting the rules to regulate the access of other users. Unfortunately, the effectiveness of this type of solutions is severely reduced by the fact that different user communities with a shared interest could be disconnected/separated from each other. This translates into a reduced ability in effectively spreading data of common interest towards all interested users, as it currently happens in centralized social networks. In order to overcome the cited limitation, this paper proposes a disruptive approach, which exploits the availability of a new class of Internet of Things (IoT) devices with autonomous social behaviors and cognitive abilities. Such devices can be leveraged as friendship intermediaries between devices' owners who are connected to a DOSN platform and share the same interest. We will demonstrate that clear advantages can be achieved in terms of increased percentage of Interested Reachable Nodes (a specific measure of Delivery Ratio) in distributed social networks among humans, when enhanced with so called Mediator Objects adhering to the well-known social IoT (SIoT) paradigm.

Stephany Rajeh, Marinette Savonnet, Eric Leclercq et al.

Identifying key nodes is crucial for accelerating or impeding dynamic spreading in a network. Community-aware centrality measures tackle this problem by exploiting the community structure of a network. Although there is a growing trend to design new community-aware centrality measures, there is no systematic investigation of the proposed measures' effectiveness. This study performs an extensive comparative evaluation of prominent community-aware centrality measures using the Susceptible-Infected-Recovered (SIR) model on real-world online social networks. Overall, results show that K-shell with Community and Community-based Centrality measures are the most accurate in identifying influential nodes under a single-spreader problem. Additionally, the epidemic transmission rate doesn't significantly affect the behavior of the community-aware centrality measures.

Jock S. Young

S. H. Haugland, A. Dovran, A. U. Albaek et al.

Aim: The purpose of this study was to estimate the prevalence of adverse childhood experiences (ACEs) among Norwegian adults from a general population and to identify potential associations with demographic and socioeconomic characteristics. Methods: A randomly drawn sample (N = 61,611) from the public registry of inhabitants was invited to participate in the Norwegian Counties Public Health Survey. The present study was based on online responses from 28,047 adults ≥18 years (mean age: 46.9 years, SD = 16.03). Log-link binomial regression analyses were performed to examine associations between four measures of ACEs (family conflict, lack of adult support, bad memories, and difficult childhood) and demographic (age, gender, civil status, parental divorce) and socioeconomic characteristics (education level, perceived financial situation, and welfare benefits). Results: Single individuals and those with parents that divorced during childhood were at elevated risk of all four ACEs. The risk varied to some degree between the sexes. The prevalence of ACEs declined with increasing age. We found a consistent social gradient that corresponded to the frequency of ACEs for all three socioeconomic characteristics investigated. The risks were highest for those in the lowest socioeconomic levels (RR: 1.53, 95% CI: 1.32–1.78 to RR: 4.95, CI: 4.27–5.74). Conclusions: Public health strategies should direct more attention to the interplay between ACEs and socioeconomic factors. Welfare services should be sensitive to ACEs among their service recipients.

Tania Aase Dræbel, Signe Andersen, Kasper Sønderhaven Sahner

Sammendrag I artiklen undersøges elevers erfaringer med identitetsdannelse og relationer i skolen. Det empiriske materiale udgøres af deltagerobservationer og uformelle samtaler med ni 12-13 åriges skoledrenge med læringsudfordringer og konflikter med voksne og andre elever. Drengene er fulgt gennem et sundhedsfremmeprojekt, Cykelholdet, med fokus på at skabe sammenhæng mellem fysisk aktivitet, inklusion samt læringsmæssige og pædagogiske mål. Teoretisk er tilgangen inspireret af Davies og Harré (2014). Via begreberne ”subjectification”, ”being”, ”becoming”, og ”positioning” undersøger artiklen deltagernes diskursive og sociale praksisser. Herved illustrerer analysen, at eleverne individuelt og sammen ”gør” Cykelholdet, som sted/tid og ad deres egne individuelle og fælles veje etablerer og genforhandler problemorienterede subjektpositioner, hvorved sundhedsfremme kan navigeres, på andre måder end som "kropumulige" drenge. Artiklen bidrager med empirisk viden, dels om sundhedsfremme i skolen med fokus på tiltag mod ulighed i sundhed blandt børn og unge, dels med viden om hvordan sundhedsfremme ”gøres” af elever med læringsudfordringer og konflikter. Artiklen præsenterer viden, der kan danne afsæt for at udvikle mere varierede tiltag til sundhedsfremme i skolen og lokalt tilpassede løsninger, som kobler læring til trivsel og bevægelse på måder, der har relevans for denne gruppe af elever.

Lucas Henrique Costa de Lima, Julio Reis, Philipe Melo et al.

Despite the valuable social interactions that online media promote, these systems provide space for speech that would be potentially detrimental to different groups of people. The moderation of content imposed by many social media has motivated the emergence of a new social system for free speech named Gab, which lacks moderation of content. This article characterizes and compares moderated textual data from Twitter with a set of unmoderated data from Gab. In particular, we analyze distinguishing characteristics of moderated and unmoderated content in terms of linguistic features, evaluate hate speech and its different forms in both environments. Our work shows that unmoderated content presents different psycholinguistic features, more negative sentiment and higher toxicity. Our findings support that unmoderated environments may have proportionally more online hate speech. We hope our analysis and findings contribute to the debate about hate speech and benefit systems aiming at deploying hate speech detection approaches.

Julia Schröders, F. Dewi, M. Nilsson et al.

Background Social networks (SN) have been proven to be instrumental for healthy aging and function as important safety nets, particular for older adults in low and middle-income countries (LMICs). Despite the importance of interpreting health outcomes in terms of SN, in many LMICs – including Indonesia – epidemiological studies and policy responses on the health effects of SN for aging populations are still uncommon. Using outcome-wide multi-method approaches to longitudinal panel data, this study aims to outline more clearly the role of SN diversity in the aging process in Indonesia. We explore whether and to what degree there is an association of SN diversity with adult health outcomes and investigate potential gender differences, heterogeneous treatment effects, and effect gradients along disablement processes. Methods Data came from the fourth and fifth waves of the Indonesian Family Life Survey fielded in 2007–08 and 2014–15. The analytic sample consisted of 3060 adults aged 50+ years. The primary exposure variable was the diversity of respondents’ SN at baseline. This was measured through a social network index (SNI), conjoining information about household size together with a range of social ties with whom respondents had active contact across six different types of role relationships. Guided by the disablement process model, a battery of 19 outcomes (8 pathologies, 5 impairments, 4 functional limitations, 2 disabilities) were included into analyses. Evidence for causal effects of SN diversity on health was evaluated using outcome-wide multivariable regression adjustment (RA), propensity score matching (PSM), and instrumental variable (IV) analyses. Results At baseline, 60% of respondents had a low SNI. Results from the RA and PSM models showed greatest concordance and that among women a diverse SN was positively associated with pulmonary outcomes and upper and lower body functions. Both men and women with a high SNI reported less limitations in performing activities of daily living (ADL) and instrumental ADL (IADL) tasks. A high SNI was negatively associated with C-reactive protein levels in women. The IV analyses yielded positive associations with cognitive functions for both men and women. Conclusions Diverse SN confer a wide range of strong and heterogeneous long-term health effects, particularly for older women. In settings with limited formal welfare protection, intervening in the SN of older adults and safeguarding their access to diverse networks can be an investment in population health, with manifold implications for health and public policy.

I. Fedotova, S. O. Semisynov, N. V. Mamontova

This publication is the second issue of the annual collection of original scientific works (articles) of the medical and preventive direction, compiled by the Federal State Budgetary Institution «Nizhny Novgorod Research Institute of Hygiene and Occupational Pathology» of Federal Service for Supervision of Consumer Rights Protection and Human Welfare. The collection covers a very wide range of disciplines, including: hygienic sciences, epidemiology, social hygiene and the organization of the state sanitary and Epidemiological service, bacteriology, disinfection, sanitary and hygienic research methods, public health and public health. The publication is addressed to specialists of Federal Service for Supervision of Consumer Rights Protection and Human Welfare - bodies and institutions, health care organizers, employees of specialized scientific and practical organizations; as well as teachers, students, residents and postgraduates of medical universities. Scientific articles are published in the author's editorial office.

Asher Ben-Aryeh