Search Results (556)

This study investigates the evolution of cybercrime in Greece by analyzing data from the Cyber Crime Division of the Hellenic Police. By combining 2023 statistics with earlier national and international data (e.g., Europol, FBI), this study presents a comprehensive 15-year view of cybercrime trends. Key findings highlight a persistent rise in cyber incidents, with financial fraud as the most common type. Other major threats include unauthorized system access, data breaches, and crimes targeting vulnerable populations. The study assesses national legislation aligned with EU directives and outlines stakeholder roles. It underscores the need for adaptive legal frameworks, inter-agency cooperation, and public awareness to mitigate Greece’s growing cybersecurity challenges. Full article

Israel’s military response in Gaza to Hamas’s terrorist attack and hostage taking of 7 October 2023 has led to fears of growing antisemitism. Indications of heightened antisemitism include massive spikes in antisemitic incidents and hate crimes around the world and the US, demonstrations and campus unrest, and antisemitic memes on the internet and social media platforms. Questions remain, however, whether public opinion has become increasingly hostile to Jews. The ADL Global 100 reports nearly a doubling in antisemitic sentiment from 2014 to 2024. This paper explores trends in antisemitism using country-level ADL Global 100 data. Results show some countries exhibiting large increases in antisemitism, but not all. For the 2023–2024 comparisons, European nations display relatively stable antisemitic distributions, but Russia shows a large increase. The study also uses American National Election study (ANES) data, both pooled from 1964–2024 and the 2020–2024 panel. The ANES data show a slight drop in warmth to Jews using the feeling thermometer. Demographics do not account for the slight drop, but analysis of the panel data suggests that attitudes toward Israel may account for the decline in warmth. Full article

In Latin American cities, violence against women (VAW) remains critical for public health, well-being, and safety. This phenomenon is influenced by social, political, and environmental drivers. VAW is not randomly distributed; built environments—geography, ambient population, and street networks—influence criminal through spatial dependence across multiple scales. Despite growing interest in the spatial distribution of crime, few studies have explicitly explored the spatiotemporal dimensions of VAW in Monterrey. This study explores spatio-temporal patterns of VAW in Monterrey, Mexico, based on the analysis of 27,036 georeferenced and verified emergency reports from the 911 system (2019–2022). The study applies kernel density estimation (KDE), the Getis–Ord G_i* statistics, the Local Moran I index, and space–time cube analysis to identify spatial and temporal clusters of VAW. The results show concentrations of incidents during nighttime and weekends, particularly in northern and eastern sectors in Monterrey. The analysis reveals clusters in areas of high socioeconomic vulnerability. VAW in Monterrey follows predictable and cyclical patterns. These insights contribute to the design of tailored public policies and actions to improve women’s health, well-being, and safety in critical zones and timeframes. The findings also enhance international understanding of gender-based spatial violence patterns in the rapidly urbanizing contexts of the Global South. Full article

Refugees are forced to flee their countries of origin due to factors beyond their control, and expect to find safety, peace, freedom, and have their basic needs met. Most engage in entrepreneurial activities to make a living. However, some refugees experience xenophobic attacks in host nations. Guided by the Social Identity Theory (SIT) to explore the phenomenon of xenophobic attacks against refugees in Atteridgeville, South Africa, this paper describes the factors contributing to xenophobic attacks against them. Participants were selected using the snowball sampling technique. Data were collected from 10 refugee entrepreneurs using one-on-one interviews guided by a semi-structured interview schedule. Data were analysed using thematic data analysis. The findings revealed the political and socio-economic factors behind the refugees’ exodus from their country of origin. In trying to better their lives, refugees encounter several bureaucratic challenges when formalising their asylum and refugee status in South Africa. The study established that xenophobic attacks on refugee entrepreneurs were influenced by numerous factors, including jealousy, hatred of foreigners, unemployment, and lack of job opportunities for young black South Africans. In addition, poverty and crime were identified as factors responsible for exacerbating xenophobic attacks. Based on the findings of this study, the social work profession has a pellucid and pivotal role to play in addressing the individual, group, community, systemic, institutional, and structural level factors responsible for xenophobic attacks on refugee entrepreneurs in Atteridgeville. The study recommends that further studies focus on designing multi-disciplinary and multi-sectoral measures for addressing xenophobic attacks against refugee entrepreneurs. Full article

The landscape of cybercrime has undergone significant transformations over the past decade. Present-day threats include AI-generated attacks, deep fakes, 5G network vulnerabilities, cryptojacking, and supply chain attacks, among others. To remain resilient against contemporary threats, it is essential to examine historical data to gain insights that can inform cybersecurity strategies, policy decisions, and public awareness campaigns. This paper presents a comprehensive analysis of the evolution of cyber trends in state-sponsored attacks over the past 20 years, based on the council on foreign relations state-sponsored cyber operations (2005–present). The study explores the key trends, patterns, and demographic shifts in cybercrime victims, the evolution of complaints and losses, and the most prevalent cyber threats over the years. It also investigates the geographical distribution, the gender disparity in victimization, the temporal peaks of specific scams, and the most frequently reported internet crimes. The findings reveal a traditional cyber landscape, with cyber threats becoming more sophisticated and monetized. Finally, the article proposes areas for further exploration through a comprehensive analysis. It provides a detailed chronicle of the trajectory of cybercrimes, offering insights into its past, present, and future. Full article

This paper defines the term “graffiti” and outlines the origins of this concept. The terminological arrangement allowed for the subject of this research, i.e., illegal graffiti, to be situated in reality, i.e., an urban space. It was assumed that the existence of the tag was associated with a disturbance of spatial order and had an impact on safety in a space. This, in turn, is related to whether the principles of sustainable development in the social dimension are applied. This paper makes reference to theories of security in a space (the “broken windows” theory and the strategy of Crime Prevention Through Environmental Design, CPTED) and shows the problem of illegal graffiti against the background of these theories. A new research aspect of the occurrence of illegal graffiti (scribbles and tags) within urban space is the features that determine its emergence in a spatial dimension. The aim of the analyses in this paper is to obtain information on which geospatial features are generators of illegal graffiti. The research field was limited to the space of one city—Olsztyn—with the assumption that the proposed research methodology would be useful for the spaces of other cities. The research methodology consists of several steps: firstly, we determined a list of features in the surroundings of illegal graffiti using direct interviews, and secondly, we analyzed the frequency of occurrence of these features in the researched locations in space. The next step was to standardize the obtained results using the quotient transformation method with respect to a reference point, where the reference point is the sum of all observations. After that, we assigned ranks for standardized results. The last stage involved an analysis using the GRA type of grey systems to obtain a sequence of strengths of relationships. This sequence allowed us to determine which of the features adopted for analysis have the greatest impact on the creation of illegal graffiti in a space. As indicated by the strength of the relationship, in the analyses conducted, geospatial features such as poor sidewalk condition and neglected greenery have the greatest impact on the occurrence of illegal graffiti. Other features that influence the occurrence of illegal graffiti in a given space include a lack of visibility from neighboring windows and the proximity of a two-way street. It can be assumed that these features are generators of illegal graffiti in the studied area and space. The poor condition of the facade has the least impact on the possibility of illegal graffiti occurring in a given space. Full article

The detection of blood by human remains detection (HRD) canines and blood detection dogs (BDDs) is crucial to both search and rescue (SAR) and crime scene investigation. They can be used to find both missing persons and to detect otherwise undetectable blood evidence at crime scenes. An added level of difficulty with training occurs as blood volatile organic compounds (VOCs) are drastically affected by time. Previous studies have shown this, with a focus on a longer timescale (weeks/months). Little data exists on the changes in the first 48 h, the most crucial time in SAR, something this study aims to rectify. Data was collected using headspace solid-phase microextraction/gas chromatography–mass spectrometry, which was then analyzed using chemometrics and confirmed with canine trials. The results of the laboratory analysis indicated that there were multiple, distinct odor profiles between the 1 h and 2-week time windows—namely, the fresh, intermediate, and aged stages of decomposition. The noted changes in the odor profiles were validated with HRD canine trials. Canines had difficulty detecting the fresh blood (1–2 h old) and had the greatest detection rate for the aged blood (34–36 h old). Both the chemical analysis and canine behavior data displayed a clear change in the odor profile within the first 48 h. This information will assist SAR, HRD, and BBD training to ensure they train on all distinct odor profiles. Full article

Urban safety is a critical concern for sustainable city development, with crime patterns often linked to localized environmental factors. Understanding the spatial dynamics of safety is critical for informed design and planning of urban environments. This study employs a Geographically Weighted Regression (GWR) approach to investigate how crime in Austin, Texas, correlates with Points of Interest (POIs) such as bars, transit stations, financial businesses, and public spaces, while accounting for localized socio-economic factors. Building on theoretical frameworks like Routine Activity Theory and Crime Pattern Theory, the analysis integrates crime data from the Austin Police Department (APD), POI datasets, and census variables to explore spatially varying relationships often overlooked by traditional global models (e.g., OLS). A novel adaptive geo-grid method refines spatial units by clustering high-density downtown areas into smaller zones and retaining larger grids in suburban regions, ensuring precision without over-fragmentation. Analysis of crime incidents and POI data reveals significant spatial non-stationarity in crime–environment associations. Transportation-related facilities demonstrate strong spatial correlation with crime citywide, particularly forming persistent crime hotspots around transit hubs in areas like Rundberg Lane, South Congress, and East Riverside. Alcohol-related establishments show a strong positive correlation with crime in entertainment districts (coefficient up to 13.5, p < 0.001) but a negligible association in suburban residential areas (coefficient close to 0, p > 0.05). The GWR model significantly outperforms traditional OLS regression, capturing critical local variations obscured by global models. Downtown Austin emerges as a complex hotspot for urban safety where multiple high-risk POI types overlap. This research advances urban design and planning knowledge by providing empirical evidence that environmental factors’ influence on safety is spatially conditional rather than universally consistent, aligning with Crime Pattern Theory and Routine Activity Theory. The findings support place-specific crime prevention strategies, offering policymakers data-driven insights for developing targeted design strategies for urban zones. Full article

The systematic attacks against the civilian population in Gaza, including educational institutions, constitute war crimes that violate the right to education and affect not only children but also an entire culture’s ability to recover post-conflict and maintain its identity. This document review analysed the reports issued by Nations agencies to identify the types of violence that occur in educational contexts, the victims of such violence, the impact on the rights to and within education, and the educational measures implemented in response. A thematic analysis guided by Karma Nabulsi’s concept of “scholasticide”, Rita Segato’s “pedagogy of cruelty”, and Sara Ahmed’s “witness” was conducted. The findings reveal that the attacks on educational spaces can be interpreted as ideological strategies against the Palestinian culture due to their critical role in cultural resilience and the recovery of the Palestinian people. The reports highlight significant limitations in recognising education as a priority dimension within the framework of international humanitarian aid. Finally, the analysed documents show that children in Gaza experience feelings of abandonment based on the inaction of the international community to guarantee their right to be free from all kinds of violence. Full article

This research analyzes the impact of crime news on users’ digital engagement on social networks. Specifically, this study reviews the influence of presentation format, crime details, and news or discursive values on people’s interaction with media content. To achieve the study’s objective, 1000 posts from the social network Instagram about crimes in the main media outlets of Colombia, Mexico, Paraguay, and Ecuador were reviewed. Content analysis was employed to code the variables, while negative binomial regression models were used to assess their impact on engagement, measured through likes and comments received on the posts. The findings show that shorter videos and image collections generate more engagement than other formats, while the type of crime did not show significant differences in interaction, suggesting a possible normalization of violence among the analyzed viewers. Among the news values, inseparability had a positive effect on engagement, while consonance and references to elite figures demonstrated negative effects. The original value of this research lies in empirically verifying how the characteristics of crime news influence engagement, providing relevant information for understanding the interaction between electronic media and the perception of criminality among Latin American viewers. Full article

Urban blight and litter are twin issues that significantly affect the quality of life in city neighborhoods. This paper investigates the relationship between blight and litter, commonly overlooked in urban studies literature. We measure the prevalence of blight and litter across block groups in our mapping with a focus on socioeconomic factors, including income levels, crime rates, and land use types (industrial, commercial, and residential) for our case study, Memphis, Tennessee. Using statistical and spatial analytics, as well as data from the Memphis Data Hub and the City of Memphis, we show the prevalence of blight and litter across block groups. GIS was used to map neighborhood-specific blighted structures and their spatial connection to litter accumulation. We also explore the distribution of blight and litter across different land uses. A Pearson correlation value of 0.639 suggests a strong positive relationship between blight and litter at the block group level. Spatial clustering is assessed by Global Moran’s I and Local Moran’s I, identifying neighborhood-level hotspots. The block group is used as the unit of analysis to capture micro-spatial variation and to enable meaningful equity-based insights at the neighborhood level. Our mapping offers practical insights into urban revitalization strategies in deference to per capita income, crime rate, and land use. The findings contribute to urban policy discussions by promoting the joint consideration of blight and litter, helping guide future community-based interventions aimed at alleviating the negative impacts of blight and litter, particularly in disadvantaged neighborhoods. Full article

Video surveillance systems are a key tool for the identification of anomalous events, but they still rely heavily on human analysis, which limits their efficiency. Current video anomaly detection models aim to automatically detect such events. However, most of them provide only a binary classification (normal or anomalous) and do not identify the specific type of anomaly. Although recent proposals address anomaly classification, they typically require full video analysis, making them unsuitable for online applications. In this work, we propose a modular framework for the joint detection and classification of anomalies, designed to operate on individual clips within continuous video streams. The architecture integrates interchangeable modules (feature extractor, detector, and classifier) and is adaptable to both offline and online scenarios. Specifically, we introduce a multi-category classifier that processes only anomalous clips, enabling efficient clip-level classification. Experiments conducted on the UCF-Crime dataset validate the effectiveness of the framework, achieving 74.77% clip-level accuracy and 58.96% video-level accuracy, surpassing prior approaches and confirming its applicability in real-world surveillance environments. Full article

Sexual assault is a global public health and human rights concern, with serious physical, psychological and reproductive consequences for survivors. Among these, sexually transmitted infections are particularly relevant due to their frequently asymptomatic nature and potential for long-term complications. The detection of sexually transmitted infections in forensic settings is crucial for clinical management of victims and for evidentiary support in forensic sexual crimes investigations. This study aimed to evaluate the applicability of real-time polymerase chain reaction for detecting Chlamydia trachomatis, Trichomonas vaginalis, Neisseria gonorrhoeae, and Treponema pallidum in biological samples collected from victims of sexual assault and stored under routine forensic conditions, in some cases, for up to 18 years. A total of 231 swabs from 116 individuals collected between 2004 and 2017 were analysed using real-time PCR with pathogen-specific primers and fluorescent probes. The analysis revealed 13 positive samples of T. vaginalis (5.6%) and 11 of C. trachomatis (4.8%). No positive results were obtained for N. gonorrhoeae or T. pallidum. These findings demonstrate the usefulness of real-time polymerase chain reaction for detecting sexually transmitted infections in long-term preserved forensic samples. Moreover, the ability to identify pathogen DNA in archived samples highlights the potential role of molecular diagnostics in the retrospective investigation of sexual crimes, including cold cases. It underscores the value of molecular methods as a complementary tool in forensic proceedings and survivor care. Full article

The objective of this paper is to analyze the European Union’s response to school bullying and cyberbullying through its educational policies. For this purpose, a search of European policies was carried out in EUR-Lex, including all dates, to get a complete picture of this phenomenon. After applying the inclusion and exclusion criteria, 16 policies were selected. These were analyzed, according to Content and Documentary Analysis, using MAXQDA Analytics Pro 2024 through a codebook composed of two dimensions: one legal and one specific to bullying and cyberbullying. The results showed that most of these policies are soft policies, especially recommendations, issued by the Council of the European Union. At the same time, there is an interest on the part of the European Union to prevent bullying by addressing the contextual and cultural risk factors and improving teacher training and emotional education. In conclusion, European policies have a largely technological, preventive, and contextual and cultural approach. Finally, this paper also offers some policy recommendations to prevent school bullying and cyberbullying in political terms. Full article

This article examines the historical evolution, contemporary dynamics, and future trajectory of China’s legal and judicial framework for pangolin protection. By reviewing over seventy years of regulatory changes, case law, and policy implementation, it outlines three distinct phases: the early emphasis on pangolins as medicinal and export resources (1949–1989); the phase of conflicted protection and utilization under regulatory expansion (1989–2020); and the post-2020 shift toward judicial activism and ecological civil litigation. We then highlight the long-standing contradiction between legislative protection and continued medicinal use, particularly the centuries-old use of pangolins and their derivatives in traditional Chinese medicine, a practice still acknowledged within certain state policies and regulatory frameworks, showing how these inconsistencies enabled persistent illegal exploitation despite regulatory controls. Through systematic analysis of public court records and case databases, the policy historical records reveal a marked increase in environmental public interest litigation since 2020. These lawsuits, often attached to criminal prosecutions, signal a transition from merely punitive approaches to restorative ones—anchored in ecological valuation of species and their services. Case studies illustrate how courts now impose not only wildlife resource loss fees, but also punitive damages and compensation for ecological service function loss. The article will elaborate in detail on the distinctions and interrelations among these types of compensation. The landmark Case No.17 also demonstrates this paradigm shift, wherein courts recognized pangolins’ role in balancing forest ecosystems. However, significant challenges persist. Valuation methodologies lack uniform standards; while the ecological value of pangolins has been recognized, their inherent value as individuals has not been emphasized within the legal system; judicial discretion varies across jurisdictions; and public interest organizations remain underutilized in litigation. Moreover, while the crackdown on organized crime succeeded in curbing mass trafficking, smaller-scale violations tied to cultural consumption for medicine use persist. The article concludes that judicial innovations, such as ecological judicial restoration bases and integration into China’s draft Ecological Environment Code, offer promising pathways forward. To enhance efficacy, it calls for standardization in ecological valuation, strengthened civil society participation, and nuanced differentiation in penal strategies between minor and serious offenses. This study ultimately positions judicial reform as the cornerstone of China’s evolving pangolin conservation strategy. Full article