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SEO de contenidos e inteligencia artificial: experiencias en medios digitales
Get PDFThe advent of new and diverse generative artificial intelligence (Gen AI) tools, along with a new generation of search engines based on it, has created a form of SEO (Search Engine Optimization) for content creators, such as media outlets, who aim to be influential in this new AI-dominated environment.
This chapter will present the foundations of these new positioning approaches, ranging from non-human writing to features that define the content of digital news media. In some cases, these approaches are more closely linked to becoming part of narratives rather than merely attracting traffic, as is the case with conventional SEO.
Through the review of notable cases, with a focus on writing practices in Ibero-America and specific initiatives such as As Told to Buzzy (BuzzFeed), the chapter aims to provide operational usage trends for media professionals, as well as ideas for future research for academics and scholars of both SEO and media studies
Enhancing Medical Information Science Education through Interactive Learning Methods: A Policy Brief
Get PDFBackground. Active teaching and learning methods can significantly enhance teaching effectiveness. Despite the emphasis in numerous studies, library and information science faculty members continue to use traditional passive teaching methods, such as lectures. This policy brief aims to highlight the importance of and strategies to utilization of innovative and active teaching methods in the curriculum for enhancement of education.
Methods. To prepare this policy brief, evidence from an original cross-sectional descriptive study and data collected from previously published studies in databases were used. To provide internal evidence, a multi-instrument cross-sectional study was conducted, gathering teaching methods employed by faculty members from various universities through a field study and questionnaire. In the next stage, a focus group discussion was conducted using applied teaching methods through interviews with 10 experts (faculty members and experts in the field of higher education), continuing until theoretical saturation was reached. To collect external evidence, a systematic review and search of published literature were conducted using MeSH keywords in Scopus, ERIC, Google Scholar, and the Iranian databases of SID and Magiran.
Results. Policy options were extracted, including revising the medical library and information education curriculum, developing active teaching skills among faculty members, and establishing an evaluation system and educational incentives.
Conclusion. Considering the expansion and application of modern and active teaching methods and the benefits of such teaching methods in the learning rate of learners, it is necessary to revise the curriculum of the medical library and information science field and include the active teaching method in the lesson plan of each course, and the groups should also take action to ensure the proper implementation of the use of active methods through educational evaluation and monitoring and providing the necessary incentives for promoting the faculty and providing educational grants
Inteligencia artificial para la generación de contenidos: tendencias, casos y experiencias
Get PDFThis presentation explores the impact of generative artificial intelligence on content generation within the field of communication, focusing on its applications in journalism, advertising, and film. It examines current trends, technological tools, and real-world case studies from Ibero-America, alongside published books that support academic training. The session also addresses the ethical and pedagogical challenges of integrating AI into higher education, encouraging a conscious, transparent, and responsible use by both undergraduate and graduate students and faculty
The Metamorphosis Formula
Get PDFThis study introduces and explores the "Metamorphosis Formula," a theoretical framework designed to investigate structural and morphological transformations in language, shaped by technological advancements and the evolving demands of modern communication. Central to this research is the development of the theory of algorithmic grammar, which applies mathematical formulas to analyze linguistic transformations. These include changes induced by prefixes, infixes, and suffixes, as well as the innovative use of chromatic algorithms to highlight grammatical information through color-coding visually.
The research integrates key concepts such as chromatic algorithms, the grammatical map, and the geometric architecture of information expression. It examines grammatical transformations at national and international levels, focusing on the origin and adaptation of grammatical elements across diverse languages. The study delves into the role of parentheses in grammatical structures and the adaptation of word roots in various linguistic contexts. Furthermore, it develops advanced formulas, including the tone formula, the comparative formula, the formula of grammatical time, and other grammatical correlations, such as addition, elimination, fusion, replacement, introduction, conjunction, semantic flexion, and changes in grammatical value. These are systematically integrated into a mathematical expression framework, encompassing grammatical agreement and other linguistic phenomena.
The research also investigates the outcomes of fusion and conjunction processes in grammatical elements, analyzing relationships between determinant and determined, theme and rheme, anaphoric and cataphoric elements, and lexical deixis. These relationships are defined and visually represented within a mathematical system, offering a novel perspective on linguistic structures. Additionally, the study examines the processes of information distribution within grammatical elements, addressing their morphological, syntactic, propositional, and phrasal values. These processes are visually expressed and further represented through mathematical models, such as fractions, to enhance clarity and precision.
The findings emphasize the utility of color as a tool for facilitating the rapid comprehension of grammatical information, with significant implications for education and natural language processing. By bridging linguistic theory with mathematical and visual methodologies, this research contributes to a deeper understanding of linguistic evolution and offers practical applications for improving communication efficiency in both academic and technological contexts.
This study investigates the "Metamorphosis Formula," emphasizing its dependence on human creativity, intuition, and ethical judgment, which are vital for developing innovative linguistic theories that artificial intelligence (AI) cannot achieve independently. By employing complex algorithmic formulas, including chromatic and grammatical coding, the research analyzes and models the structural and morphological transformations of language, showcasing the need for interdisciplinary knowledge and personal experience. The work highlights the significance of contextual understanding, adaptability, and ethical considerations in the research process, where human judgment is essential for interpreting results and making informed decisions. Ultimately, the study underscores the limitations of AI in replicating these human attributes and advocates for the harmonious integration of human imagination with technological capabilities to fully unlock the potential of language research and its applications in education, natural language processing, and AI
The Future Role of Smart Libraries in 21st Century: A Study
Get PDFThis paper explores the future role of smart libraries in the 21st century. Authors consulted secondary sources of information to collect related data and to draw the conclusion. It is found from the study that, by incorporating technologies such as AI, IoT, and Cloud Computing, the 21st century libraries can enhance resource accessibility and transform user experiences through automation, personalization, and interactivity
Contenido curado en redes sociales de revistas COM y LIS Q1
Get PDFThe use of content curation in X by high-impact academic journals in the SJR categories of Library and Information Science (LIS) and Communication is explored (A high degree of content curation has been seen in publications in X in both areas, especially in LIS, the majority theme is the dissemination of recent articles and the most commonly used curation techniques are extracting and summarizing)
Investigating the Effect of Organizational Commitment and Organizational Justice Perception on Knowledge Sharing Motivation
Get PDFMedical staff, with their specialized knowledge and practical experiences, have a direct impact on treatment and health outcomes. This study investigated the effect of commitment and perception of organizational justice on the motivations for knowledge sharing of medical staff at Abolfazl Hospital in Kashmar. The main objective of the study was to investigate the effect of organizational commitment and perception of organizational justice on the motivations for knowledge sharing at Abolfazl Hospital in Kashmar. This is an applied study, in which the statistical population consisted of 112 medical staff at the hospital, and the questionnaire was distributed among all members as a census, and finally 98 usable questionnaires were collected. Data analysis and hypothesis testing were performed using the bootstrapping technique and structural equation modeling in SPSS and Smart PLS software, which focused especially on the effects existing at Abolfazl Hospital. The content validity of the questionnaires was confirmed by experts, and their reliability was calculated using Cronbach's alpha coefficient. The results showed that organizational commitment with an impact coefficient of 0.377 and perceived organizational justice with an impact coefficient of 0.470 have a positive and significant effect on knowledge sharing motivation. In particular, increasing organizational commitment and a sense of justice in the workplace significantly increase the motivation of medical staff to share knowledge. This study emphasizes the importance of strengthening organizational commitment and justice and suggests that hospital managers focus on these factors to help improve the quality of medical services and increase the efficiency of medical teams
Inteligencia artificial para la generación de contenidos en Iberoamérica: experiencias editoriales en medios de comunicación
Get PDFSecond digital edition and first printed edition of this work (updated as of May 2025), which is framed within a context where artificial intelligence (AI) is increasingly being integrated into journalism and content production across Ibero-America. Its theoretical foundation lies in the need to understand and assess the impact of these emerging technologies in the field of communication—a subject of critical relevance, as documented in recent disciplinary studies.
The format of this publication corresponds to an academic and research-based study, structured into several chapters that address different aspects of AI use in the media. These chapters include theoretical analyses, case studies, survey results, and interviews with industry experts.
The objective of this study is to explore and document the experiences of implementing AI in content generation within Ibero-American media organizations, providing a comprehensive overview of how these technologies are transforming journalism in the region. The intention is not only to identify best practices and challenges encountered, but also to offer recommendations for the ethical and efficient adoption of AI in the media sector.
The activities undertaken include an extensive collection and analysis of data from diverse sources. A series of webinars was held, bringing together more than 700 participants and involving the collaboration of four Ibero-American academic institutions. These webinars served as platforms for the exchange of knowledge and experiences regarding AI in media. Additionally, a survey was conducted with over 150 webinar participants to gather data on the frequency of use, awareness, and expectations surrounding AI tools.
The book is organized into five main chapters. The first chapter presents initial conceptualizations and expert interviews on the ethical and technical challenges of AI use in media. The second chapter summarizes the webinar sessions and highlights the success stories presented. The third chapter reports on the survey results from webinar participants. The fourth chapter—by far the most extensive—analyzes key case studies, challenges, and projections related to AI-driven content generation in various Ibero-American countries, including interviews and screenshots of noteworthy experiences. Finally, the fifth chapter offers concluding reflections and forward-looking projections on the future of AI in Ibero-American journalism
ANÁLISE BIBLIOMÉTRICA DA INFORMAÇÃO E TENDÊNCIAS NA LITERATURA TÉCNICA PRODUZIDA PELO INCAPER
No full textThis article analyzes the science developed at the Capixaba Institute of Research, Technical Assistance and
Rural Extension (Incaper), through technical-scientific literature produced between the years 2000 and 2023. It aims
to understand the evolution and connections in science, to prospect trends in state agriculture, in order to point out
areas of innovation, evaluating the evolution of knowledge and guiding possible strategies for sustainable agricultural
development. The results showed 65 thousand downloads in 2022 and 2023, highlighting the themes of coffee and
fruit growing. Research trends include plant diseases and genetic improvement. We concluded that fruit growing is an
important field of activity for Incaper, which has dedicated itself to sustainable rural development. In the relationships
between authors and institutional partnerships, Incaper has contributed to the advancement of Agricultural Sciences in
Brazil and worldwide
Métricas en transición: evaluación de indicadores tradicionales y alternativos en revistas latinoamericanas de ciencias sociales.
Get PDFAltmetrics are transforming the evaluation of scientific impact by complementing traditional bibliometric indicators with a broader and more dynamic perspective on research influence in the digital age. In this context, the scientific ecosystem is undergoing a shift in its prevailing evaluation model as it has been understood in recent years. The main objective of this study is to analyze the distribution of Latin American social science journals indexed in the Scimago Journal Rank (SJR) 2023, and the evolution of their traditional and alternative metrics during the period 2017 – 2023, in order to identify growth dynamics and significant differences related to the impact assessment of scientific publications. The analysis considered the annual scores of 12 alternative metrics and 9 traditional metrics across 356 journals, as well as data obtained through a survey administered to the editors of the journals studied. The findings reveal limited regional representation of social sciences within the SJR, and an uneven pattern of regional editorial production led by Brazil followed by Chile, Colombia and Mexico. In traditional metrics, a sustained growth in SJR, CiteScore and JCI scores was identified, with a slower integration in Journal Citation Reports (JCR) metrics, accompanied by a consolidated editorial use in impact assessment. Altmetrics presented low and scattered values. Mentions on X (Twitter), Wikipedia, mainstream media and blogs exhibited statistically significant growth, while Mendeley readership, Facebook mentions and citations in Dimensions reflected a decrease. This asymmetric behaviour suggests an ongoing transition in the modes of scientific dissemination, although the traditional citation-based model prevails