Search Results (466)

Social media platforms like Instagram significantly shape destination images and influence tourist behavior. Understanding how different cities are represented and perceived on these platforms is crucial for effective tourism marketing. This study provides a comparative analysis of Instagram content and engagement patterns in Seoul and Tokyo, two major Asian metropolises, to derive actionable marketing insights. We collected and analyzed 59,944 public Instagram posts geotagged or location-tagged within Seoul (n = 29,985) and Tokyo (n = 29,959). We employed a mixed-methods approach involving content categorization using a fine-tuned convolutional neural network (CNN) model, engagement metric analysis (likes, comments), Valence Aware Dictionary and sEntiment Reasoner (VADER) sentiment analysis and thematic classification of comments, geospatial analysis (Kernel Density Estimation [KDE], Moran’s I), and predictive modeling (Gradient Boosting with SHapley Additive exPlanations [SHAP] value analysis). A validation analysis using balanced samples (n = 2000 each) was conducted to address Tokyo’s lower geotagged data proportion. While both cities showed ‘Person’ as the dominant content category, notable differences emerged. Tokyo exhibited higher like-based engagement across categories, particularly for ‘Animal’ and ‘Food’ content, while Seoul generated slightly more comments, often expressing stronger sentiment. Qualitative comment analysis revealed Seoul comments focused more on emotional reactions, whereas Tokyo comments were often shorter, appreciative remarks. Geospatial analysis identified distinct hotspots. The validation analysis confirmed these spatial patterns despite Tokyo’s data limitations. Predictive modeling highlighted hashtag counts as the key engagement driver in Seoul and the presence of people in Tokyo. Seoul and Tokyo project distinct visual narratives and elicit different engagement patterns on Instagram. These findings offer practical implications for destination marketers, suggesting tailored content strategies and location-based campaigns targeting identified hotspots and specific content themes. This study underscores the value of integrating quantitative and qualitative analyses of social media data for nuanced destination marketing insights. Full article

News recommendation systems must simultaneously address multiple challenges, including dynamic user interest modeling, nonlinear popularity patterns, and diversity recommendation in cold-start scenarios. We present a Popularity-Aware Dynamic Multi-Perspective Fusion Network (PAD-MPFN) that innovatively integrates three key components: adaptive subspace projection for multi-source interest fusion, logarithmic time-decay factors for popularity bias mitigation, and dynamic gating mechanisms for personalized recommendation weighting. The framework uniquely combines sequential behavior analysis, social graph propagation, and temporal popularity modeling through a unified architecture. Experimental results on the MIND dataset, an open-source version of MSN News, demonstrate that PAD-MPFN outperforms existing methods in terms of recommendation performance and cold-start scenarios while effectively alleviating information overload. This study offers a new solution for dynamic interest modeling and diverse recommendation. Full article

The Content-Centric Network (CCN) presents an alternative to the conventional TCP/IP network, where IP is fundamental for communication between the source and destination. Instead of relying on IP addresses, CCN emphasizes content to enable efficient data distribution through caching and delivery. The increasing demand of graphic-intensive applications requires minimal response time and optimized resource utilization. Therefore, the CCN plays a vital role due to its efficient architecture and content management approach. To reduce data retrieval delays in CCNs, traditional methods improve caching mechanisms through clustering. However, these methods do not address the optimal use of resources, including CPU, memory, storage, and available links, along with the incorporation of social awareness. This study proposes SARAC4N, a socially and resource-aware caching framework for clustered Content-Centric Networks that integrates dual-head clustering and popularity-driven content placement. It enhances caching efficiency, reduces retrieval delays, and improves resource utilization across heterogeneous network topologies. This approach will help resolve congestion issues while enhancing social awareness, lowering error rates, and ensuring efficient content delivery. The proposed Socially and Resource-Aware Caching in Clustered Content-Centric Network (SARAC4N) enhances caching effectiveness by optimally utilizing resources and positioning them with social awareness within the cluster. Furthermore, it enhances metrics such as data retrieval time, reduces computation and memory usage, minimizes data redundancy, optimizes network usage, and lowers storage requirements, all while maintaining a very low error rate. Full article

Growing awareness of sustainable development and green consumer concerns is driving the market expansion for green agriculture products. E-commerce live streaming gives rural enterprises a new channel through scenario-building and interaction, while agro-tourism integration combines resources to generate a variety of promotion scenarios. This study examines the effects of external stimuli, including social networks, resource endowment, infrastructure, and the characteristics of e-commerce streamers, on the perception, trust, perceived value, and purchase intention of green consumption. It is based on the SOR (Stimulus–Organism–Response) theoretical model and focuses on e-commerce live streaming in the agriculture-tourism integration scenario. According to a structural equation modeling (SEM) analysis of 350 consumer questionnaires, these external stimuli primarily influence purchase intention through perceived value, trust, and green consumption cognition, with resource endowment having the most significant impact. The effects of infrastructure on perceived value and streamer attractiveness on green consumption cognition are not statistically significant. This research not only broadens the use of the SOR model in the emerging field of agritourism integration but also offers rural businesses theoretical backing and useful guidance to maximize e-commerce live marketing and enhance agritourism integration. Full article

Health professionals and institutions, as users and influencers, use social networks to disseminate information and knowledge about health issues, in the case of organ donation and transplantation (ODT) to spread the social benefits of the process and increase the positive attitude towards ODT. The aim of this work was to analyse the perception and use of social networks by university students of health sciences to determine whether, in their opinion, social platforms are suitable for the promotion of ODT after participating in an educational programme specialising in ODT and communication. The students indicated that social networks are a good medium for disseminating messages about ODT, with WhatsApp standing out as the most appropriate after the programme. Eighty-six per cent say that social media can positively influence the attitude towards ODT and 65% have started to follow ODT institutional accounts on social media. Addressing communication in specialisation programmes in the field of health and ODT raises awareness of the responsible use of social media among university health students and strengthens their capacity as prescribers of the social benefits of ODT. Full article

Developing multicultural leadership in youth is crucial for fostering social harmony, emphasizing cross-cultural communication, adaptability, creative problem solving, and ethical leadership, particularly in Thailand’s three southern border provinces. This study aimed to analyze the confirmatory factors and assess the validity of the measurement model for multicultural leadership among youth in Thailand’s three southern border provinces. The study sample comprised 640 participants, and the data were analyzed using second-order confirmatory factor analysis. The findings revealed that multicultural leadership among youth in the region consists of the following six key components: (1) awareness and acceptance of cultural diversity, (2) intercultural communication skills, (3) flexibility and adaptability in multicultural contexts, (4) creative problem solving in a multicultural context, (5) building intercultural collaboration networks, and (6) developing culturally relevant morality and ethics. The measurement model demonstrated a good fit with the empirical data. Considering the Chi-square value of 411.81, p-value of 0.07, the relative Chi-square (χ²/df) was 1.11, the Goodness-of-Fitness Index (GFI) was 0.96, the Adjusted Goodness-of-Fitness Index (AGFI) was 0.94, and the Root Mean Square Residuals Index (SRMR) was 0.03. These findings provide valuable insights for formulating effective policies and concrete strategies to enhance and develop multicultural leadership among youth in diverse sociocultural contexts. Full article

This study investigates how demographic characteristics, severity of intimate partner violence (IPV), social support, gender equality awareness, and demographic factors (e.g., living with children at home) influence help-seeking behaviors among 2527 IPV-experienced women in Beijing, Shanghai, Guangzhou, and Shenzhen. Drawing on the help-seeking model and conservation of resource theory, the study distinguishes between formal (e.g., police, legal aid) and informal (e.g., family, friends) help-seeking. Logistic regression results reveal that greater violence severity, stronger perceived social support, and higher gender equality awareness significantly increase both formal and informal help-seeking. Notably, living with children is associated with a higher likelihood of seeking formal help, possibly due to increased concerns for children’s safety and the desire to change the abusive environment. While help-seeking behavior is on the rise overall, particularly among women with strong support networks and progressive gender attitudes, structural and cultural barriers remain. The findings underscore the need to improve public education, reduce stigma, and enhance accessibility of support systems. This study contributes to the growing literature on IPV in China and provides evidence for refining policy interventions and service delivery. Full article

This review critically analyzes recent advancements in dairy cow behavior recognition, highlighting novel methodological contributions through the integration of advanced artificial intelligence (AI) techniques such as transformer models and multi-view tracking with social network analysis (SNA). Such integration offers transformative opportunities for improving dairy cattle welfare, but current applications remain limited. We describe the transition from manual, observer-based assessments to automated, scalable methods using convolutional neural networks (CNNs), spatio-temporal models, and attention mechanisms. Although object detection models, including You Only Look Once (YOLO), EfficientDet, and sequence models, such as Bidirectional Long Short-Term Memory (BiLSTM) and Convolutional Long Short-Term Memory (convLSTM), have improved detection and classification, significant challenges remain, including occlusions, annotation bottlenecks, dataset diversity, and limited generalizability. Existing interaction inference methods rely heavily on distance-based approximations (i.e., assuming that proximity implies social interaction), lacking the semantic depth essential for comprehensive SNA. To address this, we propose innovative methodological intersections such as pose-aware SNA frameworks and multi-camera fusion techniques. Moreover, we explicitly discuss ethical challenges and data governance issues, emphasizing data transparency and animal welfare concerns within precision livestock contexts. We clarify how these methodological innovations directly impact practical farming by enhancing monitoring precision, herd management, and welfare outcomes. Ultimately, this synthesis advocates for strategic, empathetic, and ethically responsible precision dairy farming practices, significantly advancing both dairy cow welfare and operational effectiveness. Full article

Offsite construction (OSC) is fragmented and involves a complex network of stakeholders in all the stages such as planning, design, legal approval, site preparation, modular manufacturing, transportation, storage, and onsite installation. The barriers include complexity of the process; lack of awareness; supply chain challenges in capacity and knowledge; cultural perception; lack of viable business process models or solutions; scarcity of skills in design/manufacturing/construction and lack of government regulations and legislation. This study, therefore, categorises the barriers according to political, economic, social, technological, environmental, and legal (PESTEL) analysis. The PESTEL analysis aims at providing organisations a comprehensive list of all the external barriers against the adoption of offsite construction. A wholistic list of all the barriers and understanding the barriers will help them to improve the overall productivity and contribute to the economy metrics. Utilising popular databases, including Scopus, Web of Science, and Google Scholar, a systematic literature review of 56 papers relevant to OSC adoptions in the construction industry research was conducted. From the review, the barriers to the adoption of OSC in the construction research and relevant organisations reports were identified. The research shows that countries such as Australia, UK, China, Hong Kong, Singapore, and New Zealand have been the top countries in which papers on OSC were published. A relationship analysis shows that political barriers amounting to 5 out of the 101 barriers identified having the most causal effects on the low adoption of OSC. Full article

Dementia-related stigma significantly influences help-seeking and affects the quality of care and support received by people with the condition. This review examines the impact of stigma on help-seeking among people with dementia and identifies key factors influencing this relationship. A systematic search across Web of Science, CINAHL, PsycINFO, PubMed, and Scopus identified seventeen qualitative studies that met the inclusion criteria. These criteria encompassed studies focusing on individuals aged 60 and older addressing public- or self-stigma and exploring help-seeking behaviors and related influencing factors. A thematic synthesis was employed to analyze the findings. The following five major themes emerged: reluctance to disclose the condition, internalization or rejection of stigmatizing beliefs, influence of family and community, attitudes of healthcare professionals, and lack of awareness in the broader society. Factors such as psychological decline, loss of autonomy, limited service access, peer support, and need for policy-level intervention were identified as central in shaping stigma. Findings related to the factors that influence this relationship indicate that stigma delays diagnosis and treatment, restricting access to adequate care. Both individual (e.g., autonomy, psychological well-being) and contextual (e.g., social networks, public policies) factors are crucial in moderating this dynamic. Targeted interventions addressing these dimensions are urgently needed to reduce stigma and facilitate timely help-seeking in dementia. Full article

Background and Objectives: This study explores gender variations in the associations between lifestyle choices, mental health, and social behaviors among adolescents in the Transylvania region of Romania. The analysis is based on data obtained through the Global School-Based Student Health Survey (GSHS). Materials and Methods: Data on 900 Romanian adolescents aged 11–18 years were obtained via the GSHS. This study evaluated nutritional statuses through BMI Z-scores, employing World Health Organization (WHO) cut-offs applied to self-reported height and weight; furthermore, it assessed well-being and perceived health; worries and sleep anxiety; social connections through having friends, loneliness, peer support, and emotional support; parental bonding relations; experiences of being bullied; safety and protection factors, including distance learning during the COVID-19 pandemic and testing or vaccinations for COVID-19; and social behaviors, including the use of social networks. A multiple logistic regression was used to predict sleep disturbance anxiety, depending on sex, bullying, cyberbullying, loneliness, social network use, and peer support. Results: Results showed that the majority of the adolescents reported having one or more friends (96.8%), with no significant difference between girls and boys (p = 0.071). There were no statistically significant differences in bullying and cyberbullying experiences between sexes (p = 0.063). Notably, gender disparities exist in both health perceptions and risk behaviors, with girls experiencing higher rates of negative health perceptions, sleep anxiety (p < 0.001), and loneliness (p = 0.011) and boys exhibiting more overweight/obesity (p < 0.001) and school truancy (p = 0.027). According to the results, loneliness is significantly associated with a higher likelihood of sleep-disturbing anxiety (p < 0.001). Students who have experienced cyberbullying are more likely to also experience traditional bullying. Students who feel lonely are more likely to be victims of bullying. Conclusions: This study reveals significant gender disparities in adolescent health, particularly in mental health, risk behaviors, and social support. It highlights the need for gender-specific interventions to address these challenges and promote healthy development. Furthermore, this study emphasizes the importance of social connections, family support, and parental involvement in adolescent well-being. Addressing bullying, promoting mental health awareness, and providing accessible support services are crucial for improving adolescent health in Romania. Full article

“Sharenting” appears to have become a common practice among families, who tend to normalise the posting of children’s content on social media, which can raise concerns about the privacy, safety, and mental health of exposed children. This study examines the perceptions and practices of sharenting among families in Asunción (Paraguay). A survey of 73 parents analysed posting habits, knowledge of risks, and possible influencing factors on parental digital behaviour. Data analysis techniques such as descriptive statistics and correlation analysis were used to examine the associations between the key variables. The results reveal that 72.60% of respondents publish content about their children on social networks, while 95.89% recognise that they are concerned about the risks associated with this practice. In addition, 58.90% of the participants indicated that they were unaware of the term sharenting. The analysis suggests that there is no significant association between knowing one’s social media contacts and the decision to post information about one’s children, indicating that perceived privacy may not directly influence the practice of sharenting. This highlights the need to educate families and promote awareness of the risks of children’s exposure to digital platforms. Full article

This study employs walking interviews to examine the low-carbon practices, cultural adaptation, and policy awareness of older Chinese migrants in the UK within their everyday environments. A total of 20 participants were interviewed in public spaces such as parks, supermarkets, and their homes. Using contextual thematic analysis, the study identifies key factors influencing their environmental behaviors. The findings reveal the following: (1) Language barriers, economic pressures, and social isolation limit migrants’ understanding of environmental policies. Many participants rely on self-sufficient ethnic community networks rather than engaging with mainstream sources; (2) Generational differences are evident—younger migrants demonstrate greater theoretical awareness of environmental policies, whereas older migrants exhibit stronger low-carbon behaviors through energy conservation and waste reduction; (3) A balance between cultural identity and consumption habits—while some migrants adjust their dietary, spending, and linguistic habits, core cultural values such as frugality and family responsibility remain unchanged. This study highlights the value of walking interviews in capturing situational insights into low-carbon behaviors and cultural adaptation. It provides empirical evidence for government agencies and community organizations, advocating for cross-cultural environmental education and improved policy communication. Recommendations include targeted environmental training, community-based volunteer initiatives, intergenerational environmental education, and policy dissemination through WeChat, Chinese communities, and ethnic networks. These measures can help bridge the generational gap in policy awareness and promote social integration among older Chinese migrants. Full article

Tobacco use remains a critical global health issue, with extensive research focusing on its impact on public health, particularly its strong association with oral cavity cancer. It is a leading cause of preventable disease and death worldwide, affecting millions each year. Despite increased awareness and regulatory measures, tobacco continues to pose significant challenges, prompting ongoing investigations into its health effects and related behaviors. Objective: This study aims to conduct a bibliometric analysis of smoking and smokeless tobacco research from 2014 to 2024, focusing on identifying key research trends, influential contributors, emerging topics, and collaborative networks on a global scale. Methods: A dataset of 2694 research papers from PubMed was analyzed using bibliometric tools. Keyword co-occurrence, authorship patterns, and institutional collaborations were mapped to reveal dominant themes and trends. Additionally, country-specific publications were examined to assess geographical contributions and emerging research frontiers. Results: The analysis indicates a 7.3% annual increase in publications, with a peak in 2021 likely influenced by COVID-19. Research topics have shifted from traditional tobacco-related health impacts, such as lung cancer and cardiovascular diseases, to newer areas like e-cigarettes and social determinants of health. Strong international collaborations were noted, with the U.S., China, and Europe as dominant contributors. Emerging research frontiers include electronic nicotine delivery systems and strategies aimed at controlling tobacco-related health risks. Conclusion: This bibliometric study highlights significant growth in tobacco-related research over the past decade. Evolving trends reflect a shift toward newer tobacco products and public health challenges. These findings provide valuable insights for shaping future research agendas and informing global tobacco control policies. Full article

Background: Early Hearing Detection and Intervention (EHDI) programmes must partner effectively with families navigating complex circumstances. Adolescent parents (APs) in Teen Parent Units (TPUs) represent a dynamic group demonstrating resilience as they balance childcare, education, and their own developmental journeys. This study explores their understanding of infant hearing, sources of knowledge, and the development of an effective teaching tool. Methods: A qualitative study was conducted with AP learners at a TPU in Aotearoa, New Zealand. Following a period of relationship-building, three focus groups were held. Data were analysed using content analysis and reflexive thematic analysis. Results: AP learners demonstrated a strong awareness of multisensory interactions. Major sources of knowledge included their relational interactions with people they trusted (midwives and family members), rather than social media. Four key themes emerged in the teaching tool’s development: (1) the effectiveness of multimodal teaching tools, (2) the benefits of peer-supported group learning, (3) the impact of high strain, and (4) the importance of Te Ao Māori (a Māori worldview). Conclusions: This study highlights the importance of culturally grounded health interventions for families navigating complex life circumstances. Group-based learning fostered peer support, hands-on multimodal teaching was effective, and culturally relevant materials and pedagogies enhanced engagement. EHDI programs may more effectively support infants from families navigating complex circumstances by collaborating with trusted support people, integrating with wraparound care networks, utilising safe and familiar settings, and delivering interventions in an engaging and culturally appropriate manner. Full article