Catálogo de publicaciones - revistas

<jats:p>When trying to understand the development of a scientific field, analysing its capacity of funding attraction is key; in this sense, the study of archaeological research in Catalonia has often been neglected. To address this gap, in this study we examine the funding landscape of Catalan archaeology research by collecting data from public calls during the period of 2014-2022. Our objective is to provide a thorough descriptive analysis that delineates the trajectory of archaeological research funding in Catalonia, thus enhancing our understanding of its current status. Our findings reveal the impact of the 2008 economic recession during the first half of the period, followed by a gradual recovery and a slow increase of the funding from 2019 onwards. However, it is not until 2021 that it will equal or surpass pre-recession levels. Prehistory emerges as the chronocultural period predominantly studied in projects, with a primary focus on site and territory studies, particularly within the Catalan, Spanish and Mediterranean contexts. Most of the projects are financed by the programmes of the Department of Culture of the autonomous government of Catalonia, although the largest volume of financing comes from European research calls. Our research identifies three universities (Universitat de Barcelona [UB], Universitat Autònoma de Barcelona [UAB], and Universitat Pompeu Fabra [UPF]) and two research centres (Institut Català de Paleoecologia Humana i Evolució Social [IPHES] and Institut Català d’Arqueologia Clàssica [ICAC]) as the primary contributors to archaeological research in Catalonia. Finally, we emphasize the pivotal role of the latter in fostering archaeological research scene in Catalonia.</jats:p>

<jats:p>In this scoping review, we portray an examination of the gender gap on Wikipedia by analyzing scholarly literature from 2007 to 2022. Employing quantitative methods, the study identifies key author characteristics such as gender, disciplines, countries, and institutions. The research reveals a slight majority of female authors, followed by male authors, with limited representation from non-binary authors. Qualitatively, content analysis uncovers two central themes: addressing the contribution gap and incorporating content related to underrepresented genders. Additionally, the study assesses results on the content gap, editing and participation bias, readership imbalances, and strategies to mitigate the gender gap. Furthermore, it explores the repercussions of this gap and categorizes the contributing factors as “the women’s problem,” “the mirror effect,” and “the systemic problem.” Overall, this comprehensive review enhances our comprehension of the Wikipedia gender gap and provides valuable insights into the research landscape in this domain.</jats:p>

<jats:p>This research examines the discourse of nutrition influencers on Instagram within five European countries (France, Germany, Italy, Spain, and the United Kingdom) during 2021. The research aims to analyse the visual and textual content disseminated by these influencers and compare the predominant narratives among them. The corpus consists of 98 food influencers, and computer vision networks were employed to analyse visual discourse, linguistic analysis software for text analysis, and quantitative and qualitative methods to analyse hashtags. While promoting global trends (such as vegetable juices or bowls made with natural and unprocessed cereals, nuts, and fruits) to a lesser extent, influencers from the five countries highlight traditional food from their respective cultures in their visual discourse. The predominant discourse in all countries promotes the need for physical change through exercise and nutrition, sometimes fostering a diet culture. Sports and fitness are present in the discourse of influencers from these five countries, predominantly emphasising weight loss, muscle gain, and sports training with specific diets. Sports plays a significant role, with a preponderance of photographs depicting physical transformations and the promotion of food products and sports brands through inspiring images. Spain stands out in this regard as having the most images showing physical changes, especially in women. Although no evidence has been discovered to suggest that the sponsorship of unhealthy foods affects consumers’ preferences for them, the results show the widespread promotion of diet-related goods and foods. Notably, the real food movement was not emphasized in this extensive data analysis.</jats:p>

<jats:p>In this scoping review, we portray an examination of the gender gap on Wikipedia by analyzing scholarly literature from 2007 to 2022. Employing quantitative methods, the study identifies key author characteristics such as gender, disciplines, countries, and institutions. The research reveals a slight majority of female authors, followed by male authors, with limited representation from non-binary authors. Qualitatively, content analysis uncovers two central themes: addressing the contribution gap and incorporating content related to underrepresented genders. Additionally, the study assesses results on the content gap, editing and participation bias, readership imbalances, and strategies to mitigate the gender gap. Furthermore, it explores the repercussions of this gap and categorizes the contributing factors as “the women’s problem,” “the mirror effect,” and “the systemic problem.” Overall, this comprehensive review enhances our comprehension of the Wikipedia gender gap and provides valuable insights into the research landscape in this domain.</jats:p>

<jats:p>Este artículo examina la relación entre la polarización política y los medios de comunicación en la sociedad contemporánea. La polarización se ha convertido en un fenómeno prevalente en muchos países, caracterizado por la creciente división de opiniones y actitudes extremas entre diferentes grupos políticos. Los medios de comunicación, como actores clave en la difusión de información y la formación de la opinión pública, desempeñan un papel fundamental en la perpetuación o mitigación de este proceso. Este trabajo presenta una conceptualización del fenómeno y examina su vinculación con la situación mediática, estableciendo su origen y también sus consecuencias: la segmentación de audiencias, el sensacionalismo o el sesgo mediático. Asimismo, se realiza una aproximación a la inteligencia artificial, el análisis de datos, la personalización de los mensajes, los chatbots o los algoritmos como agentes influyentes en el crecimiento de la polarización política. Los efectos de la polarización afectan a la sociedad en su consumo de medios y al propio funcionamiento de la democracia. La fragmentación informativa, la creciente desconfianza hacia los medios, el absentismo en la vida política son algunas de las consecuencias más significativas. De ahí que en este artículo se aborden las posibles soluciones y estrategias para fomentar un discurso público más constructivo y menos polarizado.</jats:p>

<jats:p>This paper aims to foster the debate on Media Literacy (ML) projects with a focus on disinformation. We analyse initiatives carried out locally in Portugal, considering the principles of ML, the necessary development of skills and competences, as well as the importance of the journalistic action and the consequences of platformization on professional practices. Mixed methods are applied to collect and analyse quali-quantitative data from ML projects and trainings involving multiple stakeholders. Inquiring three independent samples (editors-in-chief, journalists trained in ML, teachers trained by journalists in ML) the research questions address the importance of journalists’ participation in ML within different roles, as well as the training quality and projects’ assessment. Findings show a lack of specialised knowledge, practical tools, and continuous training as well the need for more tailor-made programs and evaluation resources that allow for the creation and promotion of more effective ML training programs. This contribution is therefore two-folded: a) it aims to enhance the operational aspects of media training in the field, based on a continuous improvement logic and b) it explores a specific evaluative example on how the feedback from training can help improve research efforts in the media literacy field. Conclusions systematise the assumptions, stemming from an articulation of ML stakeholders’ perspectives, that guide the implementation, improvement, and assessment of training: collaboration, continuity, and sustainability. These inductive categories allow for the development of theoretical-practical dimensions of the processes for evaluating innovative training against disinformation which may in turn have an inoculation role in the wider public sphere. We suggest improvements to the methodological-operational processes to involve journalists, to do follow-up, assessment, and implementation of wider training projects, contributing to applied research.</jats:p>

<jats:p>The evaluation of scientific journals poses challenges owing to the existence of various impact measures. This is because journal ranking is a multidimensional construct that may not be assessed effectively using a single metric such as an impact factor. A few studies have proposed an ensemble of metrics to prevent the bias induced by an individual metric. In this study, a multi-metric journal ranking method based on the standardized average index (SA index) was adopted to develop an extended standardized average index (ESA index). The ESA index utilizes six metrics: the CiteScore, Source Normalized Impact per Paper (SNIP), SCImago Journal Rank (SJR), Hirsh index (H-index), Eigenfactor Score, and Journal Impact Factor from three well-known databases (Scopus, SCImago Journal &amp; Country Rank, and Web of Science). Experiments were conducted in two computer science subject areas: (1) artificial intelligence and (2) computer vision and pattern recognition. Comparing the results of the multi-metric-based journal ranking system with the SA index, it was demonstrated that the multi-metric ESA index exhibited high correlation with all other indicators and significantly outperformed the SA index. To further evaluate the performance of the model and determine the aggregate impact of bibliometric indices with the ESA index, we employed unsupervised machine learning techniques such as clustering coupled with principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE). These techniques were utilized to measure the clustering impact of various bibliometric indicators on both the complete set of bibliometric features and the reduced set of features. Furthermore, the results of the ESA index were compared with those of other ranking systems, including the internationally recognized Scopus, SJR, and HEC Journal Recognition System (HJRS) used in Pakistan. These comparisons demonstrated that the multi-metric-based ESA index can serve as a valuable reference for publishers, journal editors, researchers, policymakers, librarians, and practitioners in journal selection, decision making, and professional assessment.</jats:p>

<jats:p>This study conducts a comprehensive bibliometric analysis and mapping of the scientific production of Loet Leydesdorff. Leveraging bibliometric techniques, the research aims to explore the breadth and impact of Leydesdorff’s scholarly contributions. The analysis includes an examination of his publication patterns, citation impact, and collaborations over time. Additionally, mapping techniques will be employed to visually represent the networks and interdisciplinarity associated with Leydesdorff’s work. The study provides insights into the evolution of his research interests, the influence of his contributions within the scientific community, and the interdisciplinary connections inherent in his body of work.</jats:p>

<jats:p>Loet Leydesdorff (mentioned as Loet in the following) passed away in March 2023. Our paper is dedicated to the important contributions of this exceptional researcher (in scientometrics). We investigated which studies, theories, methods, and ideas have influenced Loet’s scientific work. The method reference publication year spectroscopy (RPYS) can be used to answer this and related questions. Many RPYS studies have been published regarding the historical roots of research fields, journals, and scientists. The program CRExplorer was specifically developed for RPYS. In this study, we used CRExplorer to investigate the historical roots and influential publications of Loet’s oeuvre. The results demonstrate the wide range of topics in Loet’s research and their fundamental meaning for the scientometric field.</jats:p>

<jats:p>A knowledge-based economy adds innovation as another dynamic to a political economy. Whereas a political economy is institutionalized -for example, in a nation state- the knowledge base is volatile although it leaves footprints behind by transforming the institutional layers. This transformation into new options can be measured as redundancy using the Triple-Helix indicator. The balance between historical entropy generation and the knowledge-based generation of options can be measured in terms of positive and negative contributions to the prevailing uncertainty. At what scale and in which sectors is synergy among geographical, technological, and organizational distributions of firms evident? Using mutual information in the three dimensions as an indicator, we analyse a dataset of more than 16 million firms in Brazil and compute synergy within and across states and sectors in this country in terms of bits of information. The results suggest that no synergy is generated at the national level. The political economy of the country has not (yet) been transformed into a national innovation system. At state level, synergies vary according to geographical levels and sectors due to the specifics of the states. Above-average values were found for some states in the South and Southeast Regions. Also, the political capital, Brasilia, has resulted to have no impact in the innovation system of Brazil.</jats:p>