Search Results (104)

Workplace violence (WPV) is a prevailing global concern among healthcare providers (HCPs). Pharmacists may be more vulnerable to WPV than other HCPs due to being the most trusted, approachable, and accessible healthcare workers. However, in Saudi Arabia, there is little research on violence in the workplace among pharmacists working in different sectors. This is a cross-sectional survey study. An online survey was adopted from previous studies and distributed to a convenience sample of pharmacists by email and social media using a link to a web-based survey platform in QuestionPro. SPSS 28 was used for analysis. Logistic regression was employed to assess the association between WPV exposure and the participants’ characteristics. Three hundred and nineteen pharmacists participated in the study. A total of 156 (48.9%) reported exposure to workplace violence. Most participants had experienced verbal abuse (39.7%). Most offenders were male (84.6%), and aged 21–45 years (66.7%). Common causes included lack of a penalty (13.3%), and absence of reporting systems (11.4%). Seventy-eight percent of participants reported that the violence affected them negatively, leading to hopelessness (19.7%), and decreased work performance and productivity (15.1%). Logistic regression indicated that working as a staff (OR: 3.165; 95% CI 1.118–8.96, p = 0.030), working evening or night shift (OR: 2.4456; 95% CI 1.340–4.503, p = 0.004), and lacking procedure for reporting the violence (OR: 0.412; 95% CI 0.236–0.717, p = 0.002) were more likely to be victim of workplace violence than their counterparts. In Saudi Arabia, the risk of WPV events occurrence among pharmacists is high. The findings can guide the creation of appropriate policies, actions, and safety procedures to prevent and address WPV against pharmacists. Full article

The events of 2020 reached a fever pitch with the May 25th murder of George Floyd, but earlier on the same morning, a chance encounter between dogwalker Amy Cooper and birding enthusiast Christian Cooper also laid bare enduring social relations. As video footage of the encounter spread across social media, it sparked both public outrage and discourse regarding Black nature enthusiasts. Employing a historical-interpretive method informed by conversation analysis and guided by “whiteness as property,” I assemble news articles, social media posts, and video footage to analyze the events in Central Park and their aftermath. To unsettle existing paradigms regarding who we imagine are entitled to the great outdoors, I identify potential collaborative partners across scales who can further the goals of education, recruitment, and visibility for Black nature enthusiasts and professionals. I demonstrate how expanding environmental justice to include anti-Black racial violence allows us to recognize that the specter of lynching defies geographic boundaries, diffusing across space and time, occasionally coalescing to defend white privilege and historic racial orders. Full article

Background/Objectives: Cyber intimate partner violence (CIPV) in adolescents is influenced by individual and relational factors, including psychopathic traits, antisocial and law-violating behaviors, child-to-parent violence, and dating violence. This study examines predictors of cyber aggression, cyber control perpetration, cyber victimization, and received cyber control using hierarchical regression models (HRMs) and fuzzy-set Qualitative Comparative Analysis (fsQCA). Method: A total of 207 Spanish adolescents (M = 16.18; SD = 1.52) aged 14–18 years completed measures of psychopathy (P-16), antisocial behavior (ECADA), child-to-parent violence (CTS2), and dating violence (CADRI), together with Violence in Adolescent Relationships on Social Media (e-VPA). Results: HRM showed that child-to-parent violence and experienced dating violence were common predictors across cyber aggression, cyber victimization, and received cyber control. Cyber control perpetration was mainly influenced by psychopathy and perpetrated dating violence. fsQCA revealed multiple pathways leading to high levels of CIPV, combining psychopathy, antisocial behaviors, and family and partner violence. However, cyber aggression perpetration could not be analyzed due to insufficient variability. Conclusions: The findings suggest that CIPV might stem from complex interactions between individual traits and offline relational violence. Prevention efforts should address both family dynamics and dating violence to mitigate cyber aggression and victimization in adolescent relationships. Full article

This study explores hate speech in educational contexts, focusing on initial teacher training in Chile. It conceptualizes hate speech as a form of expression that promotes violence and exclusion, emphasizing the role of social media in its amplification. Drawing on the theories of Levinas, Arendt, and Žižek, the research highlights the importance of citizenship education in building inclusive and democratic educational environments. A quantitative, descriptive, and correlational design was employed, based on a survey conducted among history pedagogy students at Chilean universities. Using non-probabilistic sampling, the study applied statistical analyses, including Spearman’s correlation and Cronbach’s alpha (0.84), to ensure reliability. Key findings indicate that 51% of participants believe teacher training should explicitly address hate speech, while 70% expect the Ministry of Education to provide institutional support. A strong correlation (0.49) was found between social media usage and the spread of hate speech. Although students recognize the problem, significant resistance remains regarding the inclusion of hate speech and diversity-related content in teacher education programs. The results underscore the urgent need for public policies that integrate diversity, human rights, and critical digital literacy into teacher training, aiming to prevent discrimination and promote ethical and inclusive educational practices. Full article

This study examines the dynamics of information dissemination and opinion formation in Indonesian social media through a comprehensive analysis of a high-profile youth violence case. Using social network analysis (SNA), we analyzed 264,155 activities from 83,097 accounts on platform X (formerly Twitter) to understand the patterns of information flow, cluster formation, and inter-group interactions. The analysis revealed four distinct clusters with unique characteristics: a dominant support cluster (40.12%), a context-focused cluster (26.93%), a mainstream media cluster (14.14%), and a peripheral engagement cluster (6.05%). This study found significant patterns in information dissemination, with retweets dominating at 68% of total activities and strategic hashtag usage at 28%. Cross-cluster interactions comprised 20% of total activities, challenging assumptions about echo chambers in digital discourse. The network showed high resilience with 85% path reliability and demonstrated a consistent multiplier effect with a 1:5:15 ratio in message amplification. Bridge nodes (10–15% of accounts) played crucial roles in facilitating cross-cluster dialogue and maintaining network cohesion. The temporal evolution of discourse showed distinct phases, from initial factual reporting to later systemic analysis, with each phase characterized by different engagement patterns and narrative focuses. These findings extend existing theoretical frameworks while highlighting the need for more culturally nuanced approaches to understanding digital discourse in contexts of collectivist cultural dimensions. This study’s results have significant implications for digital literacy education, social media intervention strategies, and youth violence prevention efforts, suggesting the need for sophisticated, network-aware approaches that consider both structural dynamics and cultural contexts. Full article

#MeToo furthered the debates about sexual harassment in academia in different contexts and locations. In Portugal, two moments drove the media debates around sexual harassment in higher education. Specifically, the allegations that emerged at the Faculty of Law of the University of Lisbon (FDUL) in 2022, and the case related to the Centre for Social Studies (CES) of the University of Coimbra in 2023. This study aimed to investigate the media coverage of these cases and their respective contributions to the national debate on sexual harassment in academia. We analysed the opinion articles published online between April 2022 and June 2023 in five Portuguese newspapers, Diário de Notícias, Jornal de Notícias, Público, Expresso, Observador, and Correio da Manhã, conducting a comparative analysis of the two cases. Sexual harassment was broadly discussed as an endemic reality, exacerbated by the precariousness and gendered hierarchical structures of academia. At the same time, there was a tendency to personalize the debate, by focusing on Boaventura Sousa Santos, CES’s emeritus director. This served as a basis for the instrumentalization of sexual violence as a form of political attack against the left, thus weakening the potential of the debates about sexual and moral harassment in academia. Full article

This article examines the audiovisual representation of violence during the armed takeover of the Ecuadorian television channel TC Television on 9 January 2024, an unprecedented event in the country’s recent media history. Employing a film analysis methodology, the study deconstructs the live broadcast by segmenting it into visual sequences and analyzing elements such as narrative content, shot composition, camera movement, sound design, and editing techniques. The interpretive phase includes narratological, iconic, and psychoanalytic readings. From a psychoanalytic perspective, the study explores the emotional impact of the broadcast on viewers, focusing on responses such as fear, anxiety, identification, projection, and the activation of psychological defense mechanisms. It also reflects on the broader sociocultural consequences of such representations of violence in public media. The article concludes by emphasizing the need for public investment in inclusive and high-quality education as a structural response to youth vulnerability, school dropout, and the risk of recruitment by organized criminal groups in Ecuador. Full article

Research on gender violence in Spanish universities began in 2003, 8 years after the first official denunciation. Conducting the first statewide survey on this issue was a significant step. This study provided essential data on gender violence in these institutions and reviewed effective prevention and response strategies from other countries. Further qualitative studies emerged that analyzed the behaviors of faculty, students, staff, decision-makers, and the media, which either perpetuated or prevented gender violence, along with the psychological and health impacts on victims and their supporters. After more than 20 years, a comprehensive literature review is needed to systematize these findings. To address this gap, a literature review was conducted to examine the behavioral changes within the university community and other relevant social actors regarding gender violence in universities. The results indicate that, although there is still some resistance, significant behavioral shifts have occurred, fostering a supportive network among faculty, researchers, staff, and students, which has contributed to an increased sense of safety. Full article

This study aimed to analyze characteristics, representations, and practices of intimacies and violence in Portuguese university students. Data collection involved 10 focus groups with a total of 35 university students aged 18–23. The findings reveal that students conceptualize healthy relationships based on respect, trust, and individuality, reflecting egalitarian ideals. However, participants acknowledge persistent gendered expectations and asymmetries. Contributing factors to dating violence (DV) include gender stereotyping, social media, substance use, and specific social settings. While social media can foster connection, it also enables control and online abuse. Substance use, although not a direct cause, may exacerbate pre-existing tensions. DV predominantly occurs in private settings, though emotional abuse also surfaces in public spaces like social gatherings. Participants condemned DV but noted the societal normalization of less visible forms of violence. They highlighted the role of peers as primary support networks for victims but also pointed to passive attitudes when abuse involves acquaintances. These insights underscore the need for targeted interventions addressing social norms and enhancing informal support networks in university settings. This study enriches the limited qualitative research on DV among Portuguese youth and emphasizes the importance of aligning prevention strategies with the nuanced realities of young people’s relationships. Full article

Cyberbullying, which manifests in various forms, is a growing challenge on social media, mainly when it involves threats of violence through images, especially those featuring weapons. This study introduces a computational framework to identify such content using convolutional neural networks of weapon-related images. By integrating artificial intelligence techniques with image analysis, our model detects visual patterns associated with violent threats, creating safer digital environments. The development of this work involved analyzing images depicting scenes with weapons carried by children or adolescents. Images were sourced from social media and spatial repositories. The statistics were processed through a 225-layer convolutional neural network, achieving an 86% accuracy rate in detecting weapons in images featuring children, adolescents, and young adults. The classifier method reached an accuracy of 17.86% with training over only 25 epochs and a recall of 14.2%. Weapon detection is a complex task due to the variability in object exposures and differences in weapon shapes, sizes, orientations, colors, and image capture methods. Segmentation issues and the presence of background objects or people further compound this complexity. Our study demonstrates that convolutional neural networks can effectively detect weapons in images, making them a valuable tool in addressing cyberbullying involving weapon imagery. Detecting such content contributes to creating safer digital environments for young people. Full article

The general objective of the study is to study the degree of gender-based violence that exists among students at the University of Huelva. The sample of 678 students (540 women and 138 men) answered an anonymous and voluntary questionnaire, which was made up of several validated questionnaires. The results show that many of the students have rarely suffered or carried out any type of violent behavior in their relationships, although there is a very low percentage who claim to have suffered gender-based violence, so we can affirm that it is a phenomenon present to a greater or lesser extent. It is observed that students easily relate physical aggressions to gender-based violence while they hesitate to relate psychological aggressions to it. This difficulty can be supported by other studies that state that adolescents believe that some actions of psychological violence—such as being jealous—are simply signs of love. This is compounded by the large number of romantic myths that are increasingly spread through social networks, media, family patterns, etc. More educational interventions are therefore needed to prevent these outcomes from leading to unhealthy relationships disguised as excessive romanticism. Full article

In the digital era, social media platforms have seen a substantial increase in the volume of online comments. While these platforms provide users with a space to express their opinions, they also serve as fertile ground for the proliferation of hate speech. Hate comments can be categorized into various types, including discrimination, violence, racism, and sexism, all of which can negatively impact mental health. Among these, sexism poses a significant challenge due to its various forms and the difficulty in defining it, making detection complex. Nevertheless, detecting and preventing sexism on social networks remains a critical issue. Recent studies have leveraged language models such as transformers, known for their ability to capture the semantic nuances of textual data. In this study, we explore different transformer models, including multiple versions of RoBERTa (A Robustly Optimized BERT Pretraining Approach), to detect sexism. We hypothesize that combining a sentiment-focused language model with models specialized in sexism detection can improve overall performance. To test this hypothesis, we developed two approaches. The first involved using classical transformers trained on our dataset, while the second combined embeddings generated by transformers with a Long Short-Term Memory (LSTM) model for classification. The probabilistic outputs of each approach were aggregated through various voting strategies to enhance detection accuracy. The LSTM with embeddings approach improved the F1-score by 0.2% compared to the classical transformer approach. Furthermore, the combination of both approaches confirms our hypothesis, achieving a 1.6% improvement in the F1-score in each case. We determined that an F1 score of over 0.84 effectively measures sexism. Additionally, we constructed our own dataset to train and evaluate the models. Full article

Offensive content is a complex and multifaceted form of harmful material that targets individuals or groups. In recent years, offensive language (OL) has become increasingly harmful, as it incites violence and intolerance. The automatic identification of OL on social networks is essential to curtail the spread of harmful content. We address this problem by developing an architecture to effectively respond to and mitigate the impact of offensive content on society. In this paper, we use the Davidson dataset containing 24,783 samples of tweets and proposed three different architectures for detecting OL on social media platforms. Our proposed approach involves concatenation of features (TF-IDF, Word2Vec, sentiments, and FKRA/FRE) and a baseline machine learning model for the classification. We explore the effectiveness of different dimensions of GloVe embeddings in conjunction with deep learning models for classifying OL. We also propose an architecture that utilizes advanced transformer models such as BERT, ALBERT, and ELECTRA for pre-processing and encoding, with 1D CNN and neural network layers serving as the classification components. We achieve the highest precision, recall, and F1 score, i.e., 0.89, 0.90, and 0.90, respectively, for both the “bert encased preprocess/1 + small bert/L4H512A8/1 + neural network layers” model and the “bert encased preprocess/1 + electra small/2 + cnn” architecture. Full article

The decision to share deeply personal experiences of sexual violence publicly is complex and multifaceted. This study provides valuable insights into this phenomenon. Interviews conducted with fifteen victims of sexual assault in Israel provide insights into the decision-making pathways of victims. The existing literature on sexual victims of sexual assault in Israel offers insights into their decision-making pathways but often lacks integration between theoretical concepts and practical outcomes. This article contributes to this field by proposing a detailed cognitive map that illuminates the specific decisions made by victims in choosing where to disclose their assault. The cognitive map presented in this study provides a comprehensive view of victims’ decision-making pathways. This study is part of a larger research project that involves interviewing communication consultants and analyzing posts from the social network platform Instagram to better understand the perceptions and behaviors of sexual assault victims. The interviews brought up four main themes: the existence of communicative justice and its importance as an arena for achieving justice; social media is critical for achieving justice, sometimes even more than the institutional arena; procedural justice is more important than outcome justice; voice is a leading principle in procedural justice principles. Full article

Background: Reports on cyber dating violence in adolescent populations vary significantly depending on whether the focus is on directly aggressive behaviours or behaviours designed to control one’s partner. In contrast to direct aggression, which is often clearly identified by adolescents, there is a greater degree of ignorance, and even a certain degree of normalisation, of controlling behaviours. Such behaviours may include, for example, insisting on knowing the whereabouts of a partner at all times or sharing social media passwords. This study aims to explore adolescent perceptions of cyber dating violence and to identify the differential characteristics of cyber-violent relationships using the Iramuteq software program for text analysis. Methods: Participants were 466 second- and third-year secondary school students. Data were collected through surveys, and responses were analysed using the Iramuteq program. This software tool enabled the identification of common terms and themes linked to cyber dating violence, as perceived by participating adolescents. Results: The analyses revealed the repeated appearance of terms associated with violent behaviours, online media, toxic relationships, and victim coercion. However, there was a notable lack of recognition of controlling behaviours as a manifestation of cyber dating violence. Adolescents frequently normalised behaviours such as insisting on knowing a partner’s whereabouts at all times or sharing social media passwords. Conclusions: The findings suggest a significant gap in adolescents’ understanding of what constitutes cyber dating violence. In contrast to direct aggression, which is easily identified, controlling behaviours are often normalised, indicating a need for educational and preventive measures to address this issue. By improving adolescents’ understanding of controlling behaviours as a form of cyber dating violence, preventive efforts can be more effectively tailored to address and mitigate this problem. To prevent the normalisation of certain behaviours indicative of cyber dating violence, early education is recommended in areas such as healthy relationships, communication skills, respect for privacy, and recognition of signs of excessive control. Full article