Analysis of health communication research topics based on term clustering

Iberoamerican Journal of Science Measurement and Communication, Год журнала: 2025, Номер 5(2), С. 1 - 11

Опубликована: Фев. 21, 2025

Objective. This study employed term clustering to analyze health communication research topics and identify thematic groupings, scholarly impact, interconnectivity. Methods. A systematic analysis was conducted using a Scopus dataset comprising terms related research, accompanied by spatial coordinates, cluster assignments, impact metrics such as link strength, occurrences, average citations. The methodology structured in way that enabled the presentation of four comprehensive analyses. following analyses were conducted: 1) topic label groupings; 2) evaluate influence different citation metrics; 3) connectivity visualize network relationships between terms. data processed several steps, including cleaning structuring dataset, interpreting clusters thematically, creating graph NetworkX Matplotlib. Results. yielded seven discrete clusters, each representing primary area focus. These included areas: adolescent youth health, behavioral interventions, advocacy policy, global prevention, mental digital communication. evidenced significance key "behavior change," "advocacy," "mental health," with robust indicating their within field. demonstrated highly interconnected landscape, central nodes linking multiple areas, emphasizing field's multidisciplinary nature. Conclusions. field is distinguished dynamic evolving panorama integrates science, policy influence, cultural competence, modern technology. demonstrates effective strategies are inherently interdisciplinary, drawing on diverse insights address broad spectrum public challenges. findings indicate future should continue capitalize these interrelated themes, responsive societal needs achieve meaningful outcomes.

Язык: Английский

---

Stakeholder Perspectives on the Role of Social Media in Urban Green Space, Land Management, and Resilience in Gilgit-Baltistan

Land, Год журнала: 2024, Номер 13(7), С. 962 - 962

Опубликована: Июнь 30, 2024

The primary focus of this study is to explore stakeholders’ perspectives on how social media platforms like Facebook, WhatsApp, and Twitter influence land management practices community engagement. Employing a qualitative methodology, research delves into the complex interactions facilitated by media, using thematic analysis identify key themes related communication, collaboration, empowerment, awareness-raising among stakeholders such as local authorities, members, environmental activists, urban planners. findings reveal that significantly enhances transparent communication channels, fosters collaboration stakeholders, empowers communities, raises awareness about importance green spaces. However, challenges connectivity literacy barriers persist, alongside opportunities for greater involvement innovation. This emphasizes critical role digital in advancing sustainable practices, offering valuable insights policymakers, planners, stakeholders. Future should specific strategies, impact influencers, integration emerging technologies planning. Ultimately, contributes understanding can support development environmentally friendly resilient communities.

Язык: Английский

---

Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers

Complex & Intelligent Systems, Год журнала: 2024, Номер 11(1)

Опубликована: Ноя. 15, 2024

Abstract Gendered disinformation undermines women’s rights, democratic principles, and national security by worsening societal divisions through authoritarian regimes’ intentional weaponization of social media. Online misogyny represents a harmful issue, threatening to transform digital platforms into environments that are hostile inhospitable women. Despite the severity this efforts persuade strengthen their protections against gendered frequently ignored, highlighting difficult task countering online in face commercial interests. This growing concern underscores need for effective measures create safer spaces, where respect equality prevail, ensuring women can participate fully freely without fear harassment or discrimination. study addresses challenge detecting misogynous content bilingual (English Italian) communications. Utilizing FastText word embeddings explainable artificial intelligence techniques, we introduce model enhances both interpretability accuracy misogynistic language. To conduct an in-depth analysis, implemented range experiments encompassing classic machine learning methodologies conventional deep approaches recent transformer-based models incorporating language-specific multilingual capabilities. paper incremental cutting-edge datasets containing tweets posts from different sources like Facebook, Twitter, Reddit, with our proposed approach outperforming these metrics such as accuracy, F1-score, precision, recall. process involved refining hyperparameters, employing optimization utilizing generative configurations. By implementing Local Interpretable Model-agnostic Explanations (LIME), further elucidate rationale behind model’s predictions, enhancing understanding its decision-making process.

Язык: Английский

---

Instagram for audience engagement: an evaluation of CERC framework in the GCC nations for digital public health during the Covid-19 pandemic

BMC Public Health, Год журнала: 2024, Номер 24(1)

Опубликована: Июнь 13, 2024

Abstract Background In this study, we investigate the utilization of Instagram by public health ministries across Gulf Cooperation Council (GCC) nations to disseminate health-related information during COVID-19 pandemic. With Instagram’s visual-centric approach and high user engagement, research aims its critical yet complex role in dissemination amid a crisis. Methods To examine how communication strategies align with CDC’s Crisis Emergency Risk Communication (CERC) framework, employ content analysis method. This helps evaluate effectiveness challenges employing for within region known significant social media usage. Results Findings indicate that serves as vital platform rapid GCC, leveraging visual capabilities wide reach. The GCC utilized demonstrate consistent strategic communicate essential related information. Kuwait Bahrain were most active all assessed respect number engagement metrics (likes comments). Most posts, per CERC informational vaccine infection death cases. second salient theme line framework was about promoting actions, followed posts activities, events, campaigns. Conclusions underscores potential powerful tool enhancing resilience responsiveness emergencies GCC. It suggests media, careful consideration affordances, can contribute significantly effective times

Язык: Английский

---

The Power of Social Media Influencer Campaigns to Improve Black Women’s Knowledge and Awareness of Environmental Endocrine Disrupting Chemicals: Surveys of Instagram Users (Preprint)

Опубликована: Сен. 4, 2024

Black women are disproportionately affected by hormone-related health conditions, which may result from higher exposures to endocrine disrupting chemicals (EDCs) in consumer products. EDCs that interfere with the body’s natural hormones. The Product Options Women-Engaged Research (POWER) project was developed educate about EDCs. We assessed impact of social media influencer (SMI) campaigns on knowledge and awareness intentions change product-use behaviors. recruited seven SMIs engage their audiences EDC-related information Instagram. attended a workshop learn products then created Instagram content share audiences. surveyed at baseline 1-month after they shared content. SMI were cross-sectionally before posted evaluated engagement analyzed campaign audience. posts reached over 16,000 accounts elicited 28,000 engagements (e.g., views, likes, shares). SMIs’ EDC increased attending sharing newly content, had greater avoid follow-up than baseline. Engagement also led positive outcomes among audiences, particularly impacted exposure reduction Eighty percent survey respondents reported will always consider company’s chemical policy product ingredients when shopping compared less 50% (P<.001), more self-reported an intention parabens (33% vs 15%, P<.001), bisphenol A (25% P=.032), per- polyfluoroalkyl substances (17% 9%, fragrance (5.9% 2.0%, P=.082). Our findings demonstrate researcher-SMI collaborations can be employed reach large women, improve EDCs, promote behaviors reduce

Язык: Английский

---