Thematic Structure Research Articles

The role of metaphor in shamanism and poetry as a therapeutic tool for healing

This paper explores the healing power of metaphor in indigenous shamanism and contemporary poetry. It explores how metaphor bridges the landscape, communicates emotions, and advances healing across cultures and languages. Analyzing specific examples from diverse shamanic traditions and contemporary poems reveals shared themes and unique approaches to metaphorical usage. The paper presents glimpses of case studies from secondary data demonstrating symbolic identity's therapeutic value. It was found helpful in treating and managing anxiety and depression. Overall, this insight reflects the power of metaphor in facilitating self-knowledge, healing, and solidifying us. It also connects us to shared human experiences. The review paper uses comparative approaches to analyze cultural knowledge and explores how poets and shamans use metaphors in different cultural settings. The research objectives involve examining and collecting academic documents related to the topic from secondary sources. Thematic analysis structures and displays the gathered material in relevant areas. Shamanism and poetry use metaphors and promote healing and personal transformation. Both practices utilize metaphorical language to access and express emotional depths and navigate challenging experiences. Thus, that fosters individual and collective well-being. They have diverse cultural traditions and contemporary quests; however, there are shared themes and unique approaches to metaphor's therapeutic function.

Unveiling public perception of AI ethics: an exploration on Wikipedia data

Artificial Intelligence (AI) technologies have exposed more and more ethical issues while providing services to people. It is challenging for people to realize the occurrence of AI ethical issues in most cases. The lower the public awareness, the more difficult it is to address AI ethical issues. Many previous studies have explored public reactions and opinions on AI ethical issues through questionnaires and social media platforms like Twitter. However, these approaches primarily focus on categorizing popular topics and sentiments, overlooking the public’s potential lack of knowledge underlying these issues. Few studies revealed the holistic knowledge structure of AI ethical topics and the relations among the subtopics. As the world’s largest online encyclopedia, Wikipedia encourages people to jointly contribute and share their knowledge by adding new topics and following a well-accepted hierarchical structure. Through public viewing and editing, Wikipedia serves as a proxy for knowledge transmission. This study aims to analyze how the public comprehend the body of knowledge of AI ethics. We adopted the community detection approach to identify the hierarchical community of the AI ethical topics, and further extracted the AI ethics-related entities, which are proper nouns, organizations, and persons. The findings reveal that the primary topics at the top-level community, most pertinent to AI ethics, predominantly revolve around knowledge-based and ethical issues. Examples include transitions from Information Theory to Internet Copyright Infringement. In summary, this study contributes to three points, (1) to present the holistic knowledge structure of AI ethics, (2) to evaluate and improve the existing body of knowledge of AI ethics, (3) to enhance public perception of AI ethics to mitigate the risks associated with AI technologies.

Description and Analysis of Research on Death and Dying during the COVID-19 Pandemic, Published in Nursing Journals Indexed in SCOPUS.

To offer an overall picture of the research published regarding the different aspects of death and dying during the COVID-19 pandemic in journals covering the field of nursing in the Scopus database. bibliometric analysis. The metadata obtained were exported from Scopus for subsequent analysis through Bibliometrix. Using the VOSviewer co-word analysis function, the conceptual and thematic structure of the publications was identified. A total of 119 papers were retrieved, with the participation of 527 authors. The publications were found in 71 journals covering the nursing area. The main lines of research revolved around the keywords "palliative care" and "end-of-life care" in regard to the ethical, psychological, and organizational challenges faced by the health professionals who cared for these patients. The results obtained offer a range of data and images that characterize the scientific production published on this topic, coming to the conclusion that, due to the multifaceted and multidisciplinary approach to the experience of death, care, and accompaniment in the dying process, bibliometric maps improve the comprehensive understanding of the semantic and conceptual structure of this field of research. This study was retrospectively registered with the OSF Registries on the 14 March 2024.

Building the conversion table of semantic match between researchers specialty codes for Section 1 Natural Sciences of HAC Classification and GRNTI subject headings

The authors discuss the results of building interreflections (matches) of research specialty codes and GRNTI subject headings based on the comparative intellectual analysis. The current master version of the State Rubricator of Scitech Information (SRSTI, GRNTI) and the verified version of the Higher Attestation Commission (HAC, VAK) are compared. The interreflection of specialty codes of these two classifications are defined as the relations of logical match, inclusion and overlapping of extensions within the subject scope of studies as indicated in the profiles of specialties and corresponding GRNTI subject headings. To illustrate the algorithm of the HAC and GRNTI classifications comparative analysis and building the conversion table of code matches, the authors provide the example of sematic matches between the specialty codes within Section 1.1.6 Hydrobiology and GRNTI subject headings. The study to form the aggregate of interreflections of codes is accomplished in full for every group of research specialties within Section 1 Natural Sciences of the HAS Classification. In total, 97 researcher specialty codes are indexed with 1,958 matches assigned; the comparison with GRNTI thematic structure is accomplished for 1,755 study areas as indicated in 128 profiles of 6 specialty groups. The general and specific patterns of semantic match distribution between HAS codes and GRNTI subject headings are identified for Section 1 Natural Sciences.

Narratives from GPT-derived networks of news and a link to financial markets dislocations

AbstractWe introduce a novel framework to study the dynamics of news narratives, by leveraging GPT3.5 advanced text analysis capabilities and graph theory. In particular, we focus on a corpus of economic articles from The Wall Street Journal and dynamically extract the main topics of discussion over time, in a completely systematic and scalable fashion. As a simple application of the suggested approach, we show how the structure of such topics of discussion has a statistically significant relationship with the contemporaneous state of financial markets, which can be used to construct an investment strategy or monitor financial risks. Our work is based on the intrinsic ability of GPT models to track the context of sentences within a document, thanks to which we can accurately extract a ranking of the most important entities discussed within each article, and evaluate their entity-specific sentiments. Then, we create a graph for each week of data, in which nodes are the entities retrieved and edges are built from the co-occurrence of such entities within articles. Graph centrality measures are computed over time to track the most representative keywords of topics of discussion, which result in an accurate summary view of the evolution of economic narratives. Fuzzy community detection is finally used to cluster linked entities into a more detailed representation of topics. Such groups of entities are mapped to the related journal articles, which are in turn summarised to reach a highly nuanced and interpretable view of the topics discussed within each week. Linking the features of these topics to the relevant financial market time series, we find that high fragmentation within our networks’ communities relates to moments of financial markets dislocations (i.e. dates with unusually high volatility across asset classes). This result should thus motivate stronger effort within financial research to move beyond ubiquitous sentiment analysis of news and delve deeper into broader and more holistic studies of textual data.

Analysis of Library School Syllabi Reveals Poor Design and Limited Content about Disability and Accessibility

A Review of:Pionke, J. (2023). What are library graduate students learning about disability and accessibility? A syllabus analysis. Urban Library Journal, 29(1). https://academicworks.cuny.edu/ulj/vol29/iss1/2/ Objective – To analyze the disability and accessibility content of library sciences courses. As well as to determine the importance of teaching students about this topic throughout programs covered in the study. Design – Qualitative study involving the data analysis of syllabi. Setting – Selected library graduate school curriculum programs in the United States. Subjects – In total, 77 syllabi drawn from 49 institutions taken from the American Library Association listing of accredited library school graduate programs. Methods – The author used keyword searches to identify courses offered between 2017–2020 that contained content on disability and accessibility. Syllabi were available for 77 of the 145 identified courses. The author analyzed the sample set (n=77) for both content and structure. Main Results – Poor citation structure, disability accommodation statements, assessment, and a focus on digital accessibility were among the main findings highlighted. The author identified four major categories to explain and understand the content found on the syllabi; these descriptors were further broken down into sub-categories to explain the findings of each topic content area. Highlights of the results are: disability and accessibility topics and all related terms were ranked according to number of times they appeared, e.g. digital content, usability, web/internet, coding (22); instruction and information literacy (16); and specific demographics etc. (10); the organization and sequencing of when course content was presented - at the beginning, middle and end of the semester; citation currency– Two hundred syllabi were analyzed. One hundred and forty-one syllabi had fairly current citation dates falling between 2009-2018. Forty-eight had no dates and eleven had dates that were outdated (2008 or earlier); assignments – which measured the learning outcome of the said topic were reported in the following way: nothing assigned (67); 1 or more assignments (11); undetermined (3). Conclusion –The study underlies that a well-crafted syllabus effectively communicates the goals of the course – the importance of the topic structure about disability and accessibility in library schools’ curricula. The author identified numerous design flaws that impact how the content relays information about the course’s pedagogy. The data suggest the need for the following improvements on the syllabi: professional topic presentation, variety of formats in texts and materials and their access, citation currency and poor structure, assignments and organization sequencing of course content, a number of assessment focused observations on vague assignments or lack of examples provided, and the inclusion of disability statements. Some of the higher order concerns were: the ableist language contained, outdated language, and the lack of stated university-related disability resources for students. All of the aforementioned present an accessibility barrier for disabled students and may affect the general perception about the topic. The author recommends that stronger guidelines for LIS educators would be advantageous to students, encourage disability awareness and the best DEI practices. Further to this, libraries should implement and adapt a strategic plan that would help overcome accessibility barriers for patron delivery services. There must be an increased emphasis on teaching about accessibility that expands beyond forms of digital media. Providing equitable library services in all areas for the disabled populations in the physical library spaces is needed.

Analysis of “A Haunted House” By Virginia Woolf through the Lens of Systemic Functional Linguistics

Systemic Functional Linguistics is a widely used approach for text analysis. It can also be used in teaching and translation studies. Recently, there has been a growing popularity of this approach in literary stylistics. “A Haunted House” by Virginia Wolf is a master piece which allows literary analysts to be entangled with whether it falls into the genre of love or supernatural. The paper aims to examine the theme selection and transitivity to discern how the genre being presented to the reader. The story has been analyzed at two levels. It explores its thematic structure and transitivity using qualitative method that is SFL and employs quantitative data analysis to present its findings. The paper examines 82 clauses and probes into the creation of supernatural genre. A careful analysis of data shows that material processes and unmarked themes with inanimate participants maintain the sense of supernatural whereas marked themes give prominence to time and place. The study paves a way to further endeavors to investigate the nature of text construction using SFL. It has some implications for translation studies and literary analysis.

Patterns in the Growth and Thematic Evolution of Artificial Intelligence Research: A Study Using Bradford Distribution of Productivity and Path Analysis

Artificial intelligence (AI) has emerged as a transformative technology with applications across multiple domains. The corpus of work related to the field of AI has grown significantly in volume as well as in terms of the application of AI in wider domains. However, given the wide application of AI in diverse areas, the measurement and characterization of the span of AI research is often a challenging task. Bibliometrics is a well-established method in the scientific community to measure the patterns and impact of research. It however has also received significant criticism for its overemphasis on the macroscopic picture and the inability to provide a deep understanding of growth and thematic structure of knowledge-creation activities. Therefore, this study presents a framework comprising of two techniques, namely, Bradford’s distribution and path analysis to characterize the growth and thematic evolution of the discipline. While the Bradford distribution provides a macroscopic view of artificial intelligence research in terms of patterns of growth, the path analysis method presents a microscopic analysis of the thematic evolutionary trajectories, thereby completing the analytical framework. Detailed insights into the evolution of each subdomain are drawn, major techniques employed in various AI applications are identified, and some relevant implications are discussed to demonstrate the usefulness of the analyses.

Virtual Skin Outfit in PUBG Mobile Games: Value and Enjoyment with Virtual Appearance

Ningxia Yanchi handmade carpets have a history of more than 300 years. They are one of the important handicrafts intangible cultural heritages (ICH) in China, similar to other handicrafts, facing the challenge of disconnecting from daily life. Cultural and creative development, as an important non-inheritable approach, has played a significant role in the modernisation and branding of various arts and crafts. The purpose of this study is to analyse the technological process and creation mode of Ningxia Yanchi handmade carpets on the basis of the theory of design affairology, and to propose a new optimal design framework. Based on the theory of design transactions, establish the "thing" logic in the creation of Yanchi handmade carpets and extract "elements". By transitioning from "thing" to "elements" in terms of graphical structure and colours, the individual pattern elements with modern aesthetics are organised. Based on the theoretical research foundation of Design Doctrine, cultural and creative design has the characteristics of clear thematic expression and coherent structure, which not only satisfies people's daily needs through traditional forms but also promotes the revival of traditional Chinese craftsmanship. It can serve as a new path for the innovation and development of traditional techniques. From a practical perspective, design affairology combines traditional skills of Intangible Cultural Heritage (ICH) with cultural creative design, creating new avenues for research and development of ICH-related designs. At the same time, the modernisation of ICH products through cultural and creative design is just one approach to heritage preservation and protection, expanding the scope of theoretical research.

Open innovation in the pharmaceutical industry: subject mapping by bibliographic coupling

This paper aims to identify the thematic structure of the literature on open innovation in the pharmaceutical industry using bibliometric analysis based on bibliographic coupling, based on the publications that comprise the H 26 index for the topic, according to Scopus. The publications coupled using VosViewer software yield nine clusters. Once these were organized, we reviewed their respective publications to discuss the subject matter of each one. Among the most relevant findings, five relevant clusters were identified: on open innovation models, governance aspects, financial performance, intellectual property and pioneering work covering the broad spectrum of innovation and competitiveness in the pharmaceutical industry

Cultural care behaviors of multidisciplinary health workers in preventing neutropenic fever in children with leukemia after chemotherapy: an Ethnonursing study

Introduction: Neutropenic fever is commonly found in children with leukemia after chemotherapy. Fever occurs when children's immunity decreases after chemotherapy, and they are prone to infection. This study aims to describe the cultural care behaviors of multidisciplinary health workers in preventing neutropenic fever among hospitalized children with leukemia after chemotherapy. Methods: An ethnonursing study was conducted at a cancer referral hospital in Central Java, Indonesia. Data were collected through observation in two Pediatric ward and chemotherapy unit for three months and FGDs and in-depth interviews with health workers who provided care services to leukemia patients post-chemotherapy. Data were collected from 14 informants: six nurses, four doctors, two clinical pharmacists, and two nutritionists. This study employed four phases of Leininger analysis for qualitative data to develop its thematic structures. Results: The analysis of the entire data has revealed five themes: (1) performing antiseptic and aseptic techniques consistently, (2) nurse and dietician collaboration in handling eating difficulties post-chemotherapy, (3) collaborative interactions interdisciplinary in handling medication, (4) patient placement in an isolation room adjusted to patients' conditions, and (5) nurse’s challenge to educate patients and their families. Conclusions: Health workers from multiple disciplines play essential roles in preventing neutropenic fever by involving patients, parents, and other family members. It is necessary for the nurses to collaborate with other healthcare professionals and educate patients, and families to participate in the care interventions for these patients in minimizing the occurrence of infection among leukemia patients.

Building and sustainability information modeling: An analysis of its thematic structure

Objective. This study examines bibliographic production that addresses the intersection between building information modeling (BIM) and sustainability, considering business, academic, and scientific perspectives. The main objective is to analyze the relationship between BIM and sustainability to contextualize their development in these fields.
 Design/Methodology/Approach. A search was conducted in the Scopus database using the keywords "building information modeling" and "sustainability". The VOSviewer bibliometric tool was selected for thematic analysis, combining co-word analysis and the h-index. This methodology enabled the effective visualization of diagrams and thematic areas in all available publications.
 Results/Discussion. Four thematic groups were identified: new technologies and their applications, sustainable construction, sustainability and energy efficiency, and life cycle and environment management. A trend towards greater integration and synergy between BIM and sustainability was evident. The five main research lines around these topics were presented and discussed, which were: development of sustainability assessment methodologies based on BIM, optimization of the life cycle of buildings through BIM, innovation in sustainable materials and technologies, modeling of the resilience and adaptability of buildings, and standards and regulations for sustainability in BIM.
 Conclusions. The future is oriented towards BIM and sustainability due to their capacity to optimize construction efficiency, reduce waste, and promote sustainable practices.

Peter Weiss: Experiment und Engagement heute

In the introductory essay, the volume’s editors trace the project that gave rise to this collection of contributions on Peter Weiss, his work, and his fortunes back to the events celebrating the centenary of his birth in 2016. The reflections start from Milo Rau, as an example of a contemporary author and director who finds in the mastery of Peter Weiss a point of reference for an art combining formal experimentalism with political engagement. The relevance of this present-day reference to Weiss as an example of the “aesthetics of resistance” is then addressed in detail, which leads on to the discussion of the main idea and thematic structure of the volume.The twelve papers are divided into two equal halves. In the first section, entitled “Essay und Prosa – Experimente mit Subjekt, Kunst und Politik”, six scholars investigate Peter Weiss’s essayistic and fictional writing, its cultural and artistic context, and its legacy for literature up to the 21st century. Lesser-known articles in Swedish and seminal interventions in the public debates of the 1960s, experimental prose and canonical novels, are thus reinterpreted using the tools of contemporary literary theory.In the second section, a further six scholars examine Weiss’s cinematographic and theatrical work and his reflections on media and performance. These contributions give new insights into Weiss’s documentary films, revolutionary dramas, and media aesthetics and politics, as well as their influence up to the present day. Under the title “Performative Engagements: Film, Theater, Medien”, contributions are brought together that range from earlier models, such as Hölderlin, Artaud, and Brecht, to contemporaries like Pier Paolo Pasolini, and finally to today’s theatre, again with Milo Rau.

Evolution and thematic structure of research on e-health literacy

PurposeThis study was carried out to examine the volume and annual growth pattern of research on e-health literacy research, investigate the open-access types of e-health literacy research and perform document production by country and by sources. The study also mapped the keywords used by authors to represent e-health literacy research and performed an analysis of the clusters of the keywords to reveal the thematic focus of research in the area.Design/methodology/approachThe research was guided by a bibliometric approach involving visualization using VosViewer. Data were sourced from Scopus database using a syntax that was tested and verified to be capable of yielding reliable data on the subject matter. The analysis in this study was based on bibliographic data and keywords.FindingsA total number of 1,176 documents were produced during 2006 and 2022. The majority of the documents (18.90%) were published based on hybrid open-access processes, and the USA has the highest contributions. The Journal of Medical Internet Research is the venue for most of the documents on the subject. The 1,176 documents were described by 5,047 keywords, 4.29 keywords per document, and the keywords were classified into five clusters that aptly capture the thematic structure of research in the area.Research limitations/implicationse-Health literacy has experienced significant growth in research production from 2006 to 2022, with an average of 69 documents per year. Research on e-health literacy initially had low output but began to increase in 2018. The majority of e-health literacy documents are available through open access, with the USA being the leading contributor. The analysis of keywords reveals the multifaceted nature of e-health literacy, including access to information, attitudes, measurement tools, awareness, age factors and communication. Clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers and effective communication in healthcare.Practical implicationsThis study has practical implications for health promotion. There is also the element of patient empowerment in which case patients are allowed to take an active role in their healthcare. By understanding their health information and having access to resources that help them manage their conditions, patients can make informed decisions about their healthcare. Finally, there is the issue of improved health outcomes which can be achieved by improving patients' e-health literacy. Visualisation of e-health literacy can help bridge the gap between patients and healthcare providers, promote patient-centered care and improve health outcomes.Originality/valueResearch production on e-Health literacy has experienced significant growth from 2006 to 2022, with an average of 69 documents per year. Many e-health literacy documents are available through open access, and the USA is the leading contributor. The analysis of keywords reveals the nature of e-health literacy, including access to information, attitudes, measurement tools, awareness and communication. The clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers, and effective communication in healthcare.

Exploring the topic structure and abuse trends of new psychoactive Substance since the 21st century from a bibliometric perspective

Nowadays, NPS abuse are continuing to expand in terms of harm and scope, due to its cheap and easy to manufacture anywhere in the world. This study reviewed articles related to seven heavily abused NPS to analyze the structure and trends of NPS abuse. A total of 2476 articles were retrieved based on the search strategy for bibliometric analysis. A significant trend of research in recent years was the increasing number of research on synthetic opioids and designer benzodiazepines, but synthetic cannabinoid and synthetic cathinone still dominate, which were mainly concerned with the development of metabolic models and determining methods as well as their abuse characteristics and reasons. However, with the introduction of class-wide ban on synthetic cannabinoid in China and a series of enhancements in other countries, the abuse of it might decrease to some extent, but more than 20 kinds of synthetic cannabinoid beyond the scope of ban in China still reminded researchers of their potential threats. As for synthetic cathinone, an important phenomenon was some of the drugs first identified during certain period might be more widely distributed in the future. Besides, several problems such as the regulation and prevention mode of emerging NPS, development of testing technologies as well as the interpretation and identification of multiple NPS combinations were also worth paying attention to. This study could help entrants better understand the structure of NPS abuse and provided direction for future research in forensic toxicology.

A Contrastive Study on the Thematic Structure Functions of English and Arabic Short Stories

Charles Dickens’s (1909) “Little Dorrit” and Al Tayeb Saleh’s (1997) “Nakhla Ala Al Jadwal” were the subject of this investigation. Using Halliday and Matthiessen’s (2014) model of thematic categorizations and functions, this research paper examined thematic structure functions in relation to Dickens’s and Saleh’s short stories. Hence, 234 English and 304 Arabic clauses were manually extracted from the short stories and analyzed regarding the proposed framework. The findings revealed that the use of topical themes was the highest and the interpersonal was the lowest in frequency while the textual themes were at some point in between the topical and interpersonal ones. The comparison also had no bearing on the topical themes because they were identical, but the textual and interpersonal themes recorded distinct results. In Arabic, the utilization of textual themes was higher but the implementation of interpersonal themes was more employed and exercised in English. Each of which indicates multifarious reasons and functions to be regarded to the author’s vantage point.

Demand-side energy management reimagined: A comprehensive literature analysis leveraging large language models

The landscape of Demand-Side Energy Management (DSM) research is rapidly evolving, shaped by technological innovations and policy developments. This paper presents an exhaustive bibliometric analysis and methodological framework to explore the research trends within the DSM domain. By synthesizing data from Scopus and OpenAlex, we compile a comprehensive dataset of DSM publications that serve as the basis for our analysis. Through rigorous data acquisition and cleaning, we ensure the reliability and relevance of our dataset. We employ state-of-the-art Large Language Models (LLMs) and topic modeling techniques, including GPT and BERTopic, to perform semantic analysis and uncover thematic structures within the literature. Statistical analysis of the literature dataset reveals a steady increase in DSM publications, with significant contributions from prestigious journals and institutions worldwide. We observe that articles are the predominant publication type, while reviews often cite more references and receive higher citation counts. The distribution of publications over time indicates a growing interest in DSM, particularly since 2014. Geographical mapping of institutions highlights key regions contributing to DSM research, with notable outputs from Europe, North America, and East Asia. Coupled with citation network analysis, our approach reveals the influential works and emerging trends that define the scientific progression of DSM research. Our unsupervised topic modeling, powered by BERTopic, clusters the publications into distinct themes, while our advanced visualization techniques using UMAP and t-SNE provide insights into the semantic space of DSM literature. The resulting thematic classification is presented in a hierarchical structure, offering a comprehensive understanding of the field’s focus areas. Our citation network analysis, utilizing force-directed graph computation and edge-bundling algorithms, maps the interconnectivity and impact of research contributions, providing a dynamic view of the field’s evolution. This study not only charts the landscape of DSM research but also offers a methodological blueprint for future bibliometric analyses. The insights gained from this multi-faceted exploration serve as a valuable resource for researchers, policymakers, and industry practitioners looking to navigate the complexities of DSM and contribute to its scientific advancement.

Improving fraud detection with semi-supervised topic modeling and keyword integration.

Fraud detection through auditors' manual review of accounting and financial records has traditionally relied on human experience and intuition. However, replicating this task using technological tools has represented a challenge for information security researchers. Natural language processing techniques, such as topic modeling, have been explored to extract information and categorize large sets of documents. Topic modeling, such as latent Dirichlet allocation (LDA) or non-negative matrix factorization (NMF), has recently gained popularity for discovering thematic structures in text collections. However, unsupervised topic modeling may not always produce the best results for specific tasks, such as fraud detection. Therefore, in the present work, we propose to use semi-supervised topic modeling, which allows the incorporation of specific knowledge of the study domain through the use of keywords to learn latent topics related to fraud. By leveraging relevant keywords, our proposed approach aims to identify patterns related to the vertices of the fraud triangle theory, providing more consistent and interpretable results for fraud detection. The model's performance was evaluated by training with several datasets and testing it with another one that did not intervene in its training. The results showed efficient performance averages with a 7% increase in performance compared to a previous job. Overall, the study emphasizes the importance of deepening the analysis of fraud behaviors and proposing strategies to identify them proactively.

The Framing Analysis of Gibran Rakabuming Raka's Coverage as Vice Presidential Candidate on Tribunnews.com

The media shapes diverse political messages, influencing public opinion significantly. Mass media, deeply involved in political discourse creation, presents politically generated news of high value. Framing, a mass media process, influences public opinion. This study analyzes framing in Gibran Rakabuming Raka's coverage on Tribunnews.com post his candidacy as Vice President in the 2024 Election. Employing a qualitative approach based on Zhongdang Pan and Gerald M. Kosick's framework, it examines syntactic, script, thematic, and rhetorical structures. The findings highlight the emphasis on factual presentation via quotations (syntactic), compliance with the 5W+1H elements (script), Gibran's thematic emphasis on evidence addressing public queries, and Tribunnews.com's journalists' tendency to portray actual conditions, including statistical data (rhetoric).

Research on sustainable tourism and biodiversity: a bibliometric analysis

ABSTRACT This study intends to analyse sustainable tourism and biodiversity research from a longitudinal point of view from 1995 to 2022. Collected 290 research articles published in the Scopus database and applied rigorous inclusion and exclusion criteria to select them for bibliometric analysis. Bibliometrix and VOSviewer tools were employed to analyse and depict the research. Co-citation of cited references, co-citation on a timeline basis, and bibliometric coupling analysis are performed to examine the trends and patterns. Further, inferred a thematic structure of sustainable tourism and biodiversity, uncovering seven co-citation clusters, twenty co-citation clusters on a timeline basis, and eleven bibliometric coupling clusters. This study offers various perspectives on sustainable tourism and biodiversity research for theoretical and practical advancements.