Catálogo de publicaciones - revistas

<jats:p>YouTube is currently becoming one of the main international platforms for amateur creators attempting to attract followers through a multiplicity of audiovisual content and engagement strategies based on search and algorithmic recommendation systems. In many cases, this environment, and especially its users, try to adapt to a celebrity network pattern on the basis of the construction of seemingly authentic and close relationships, leading to relevant phenomena such as parenting vlogs. This kind of content is focused on the presence of intimate moments that reflect the daily life of influencers or micro-influencers, capturing large numbers of followers, as well as important communication and information strategies. From this perspective, and through a quantitative content analysis of 1,034 videos and more than 900 viewing hours on two very popular YouTube family influencer channels, this study explores the degree of intimacy portrayed in their video content as performative strategies that configure the profiles’ post through interactions with followers, brands, and self-promotion. The results suggest that the degree of intimacy shown in this content becomes a performative process for these family youtubers, whereby the more intimate the exposure, the more popular the information offered to the user. In short, this type of content prioritizes the routines of the youtubers, who include their closest family members and friends as a means of attracting attention, while dedicating their time to interacting with brands (advertising) and recording, editing, and submitting a vast amount of personal and private information on the platform (dissemination) in a sort of promotional–private performativity.</jats:p>

<jats:p>Increasingly popular mobile instant messaging (MIM) apps allow users to interact anytime and anywhere with different purposes, such as coordinating work-related issues, staying in touch with people they love, or passing the time. But recent research suggests that MIM may create excessive demands on people and become a source of technostress. For example, users may experience communication overload, invasion of their face-to-face activities, pressure to respond to messages with urgency, or ambiguity regarding the intention or tone of their interactions. Building on these ideas, we develop a specific, multidimensional measure of MIM technostress and explore how it relates to different uses. To do so, we use survey data from a diverse sample of 1,259 residents in Spain. Exploratory and confirmatory factor analyses conducted on different halves of the sample supported a four-dimensional, second-level construct of MIM stress. Furthermore, structural equation model results suggest that not all uses are equally associated with MIM stress. Relatedness and intimacy uses were not positively related to MIM stress or any of its dimensions. Conversely, work uses, coordination of social activity, and even passing the time were positively associated with all techno-stressors. We discuss our findings with an eye toward promoting healthy use of MIM apps.</jats:p>

<jats:p>Social networks have become a major communication channel for organizations, including those focused on security and defense. This article specifically examines how the Spanish Armed Forces and State Security Forces communicate on Twitter, with the aim of analyzing the factors that influence engagement with their tweets. A model validated with a sample of 14,540 tweets shows the role that a series of variables related to rational and emotional communication attributes has. These variables are estimated utilizing techniques such as Python and VBA. Subsequently, a logistic model using IBM SSPS estimates the effect of each variable on the probability that a tweet will lead to more or less engagement. The results show that followers of military accounts, such as the Army, tend to have higher rates of interaction than followers of other accounts, even though military accounts have fewer total followers than police accounts. Furthermore, the results confirm the importance of using both rational and emotional stimuli for a message to be effective. To increase engagement, information provided by organizations should use elements such as hyperlinks, emojis, and photographs, and refer to topics that appeal to individuals’ emotions, such as patriotism. Resumen Las redes sociales se han convertido en uno de los canales de comunicación más usados por todo tipo de organizaciones, incluyendo las de seguridad y defensa. Concretamente, este trabajo se centra en la utilización de Twitter por parte de las Fuerzas Armadas españolas y los Cuerpos de Seguridad del Estado, tratando de analizar los factores que influyen en el engagement de sus tweets. Para ello, se propone un modelo empírico que, sobre una muestra de 14.540 tweets, permite explicar cuál es el rol de una serie de variables que miden los diferentes atributos de tipo racional y emocional presentes en sus comunicaciones. Estas variables se identifican mediante una combinación de técnicas que incluyen el uso del lenguaje Python y VBA. Posteriormente, con IBM SPSS se procede a la estimación de un modelo logit que muestra el efecto de cada una de las variables consideradas sobre la probabilidad de que un tweet genere mayor o menor engagement. Los resultados muestran que los seguidores de las cuentas de carácter militar, tal como la del Ejército de Tierra, suelen interactuar más que los usuarios del resto de cuentas examinadas, a pesar de que tienen un menor número total de seguidores que las cuentas de los cuerpos policiales. Además, los resultados confirman la importancia tanto de utilizar estímulos racionales como emocionales para que un mensaje sea efectivo. En particular, se recomienda que la información esté sustentada en la utilización de elementos como hipervínculos, emojis, fotografías y alusiones a temas que apelen a las emociones de los individuos como, por ejemplo, el patriotismo.</jats:p>

<jats:p>Video games are useful learning tools in different fields. This work seeks to evaluate, through a self-developed video game, their usefulness as a learning tool for the information literacy of undergraduate students. The videogame “The last exam” was developed after the analysis of 1,639 user queries registered over 2 years at the Complutense University Library, and aims to answer queries common to other university libraries. To evaluate its impact, a single-group pilot experiment was carried out with 14 undergraduate students using a pre-test/post-test validated by experts. The results show significant improvements in the students’ information skills, as well as positive evaluations of the exercise. We conclude that the incorporation of video games as a complement to the content of library training programs can be beneficial, especially as an introduction or for reinforcement or evaluation. Resumen Los videojuegos han resultado útiles para el aprendizaje en diferentes campos. El presente trabajo trata de evaluar la utilidad del videojuego como herramienta de aprendizaje para la alfabetización informacional de estudiantes de grado universitario. El videojuego “El último examen” nace tras el análisis de 1.639 consultas registradas en un período de dos años en la Biblioteca de la Universidad Complutense, y tiene como objetivo dar respuestas a demandas, que son extrapolables a otras bibliotecas universitarias. Para evaluar su utilidad se realiza un experimento piloto de grupo único con 14 estudiantes de grado. Los resultados muestran mejoras significativas en sus competencias informacionales y valoraciones positivas de la intervención. Se concluye que la incorporación de videojuegos como complemento a los contenidos de los programas formativos de las bibliotecas puede resultar provechoso, especialmente como introducción, refuerzo o evaluación de estos.</jats:p>

<jats:p>The push strategy of anti-alcohol campaigns targeting young people, both in traditional media and on social media, has shown a limited capacity to contribute to the development of healthy behaviors. Even when young people know about the harmful effects of alcohol, they develop reactance attitudes, self-affirmation reactions, defensive responses, and neutralization of the persuasive attempts of institutional messages. It is necessary to seek new educational communication strategies that are effective in modifying behaviors favorable to alcohol consumption among young people. The aim of this research is to implement an educational method that favors this change toward healthy behaviors. On the basis of the Instagram campaign “Like my addiction,” 124 young people (age: M = 23.6 years, SD = 2.8 years) participated for 3 weeks in three phases to test whether the presence of alcohol on Instagram had an impact on their beliefs, attitudes, and behaviors, as well as the effectiveness of the educational method tested. Half of the subjects followed a process of becoming aware of the presence of alcohol in this Instagram campaign and then participated in an interactive process of discussion according to the critical–dialogical educational method. The results show that this educational method is effective. Subjects in the control group who did not follow the method did not modify their behavior on Instagram. In contrast, the experimental group became aware of the masked presence of alcohol on Instagram. These subjects exhibit self-persuasion that makes them modify their activity favorably between the pre-test and post-test phase as they change their attitudes and behaviors toward alcohol. The results show that the critical–dialogical formative method can be favorably applied to implement campaigns and educational actions to fight alcohol addiction among young people.</jats:p>

<jats:p>The discourses of the political leaders about the Covid-19 pandemic have become central to many television networks. Many citizens follow these press conferences, as they can be affected by the government’s measures against the virus. Due to its importance, analyzing how these individuals perceive their political leaders in these television appearances is relevant to determining their influence. Therefore, this study aims to analyze the perception of the ex-President of the United States (Donald Trump), the Prime Minister of the United Kingdom (Boris Johnson), and the President of the Government of Spain (Pedro Sánchez) in television conferences devoted to battling against the Covid-19 pandemic. After watching two videos of each leader, a gender-balanced sample of 360 citizens of these three countries (the United States, the United Kingdom, and Spain) evaluated the politicians’ attractiveness, credibility, and persuasiveness as well as the influence of these factors on the public’s attitude toward them and voting intention using an online survey. The results showed that the Spanish President, Pedro Sánchez, was considered the most attractive, credible, and persuasive leader with the most favorable attitude toward him and the highest voting intention, followed by the Prime Minister, Boris Johnson, and the American politician, Donald Trump. Therefore, the most physically and vocally attractive leader with the highest credibility and persuasiveness achieved the most favorable attitude and the highest voting intention. The most influential variables of the structural model analyzed in this study were persuasiveness and credibility, which mainly affected the attitude toward the politician and, to a lesser extent, voting intention.</jats:p>

<jats:p>When a speaker engages in public speaking, the expression shown while delivering the speech determines the effectiveness of the communication and can be very influential in organizational settings. However, in public speaking, the audience can often see the speaker before the presentation begins. Therefore, the public could hypothetically gain an impression on the basis of the speakers’ expressions even before performing the presentation. With this idea in mind, the goal of this research is to analyze the influence of speakers’ expressions before delivering a speech and during the presentation. The study included two brown-haired/dark-eyed male and female and two blonde-haired/blue-eyed male and female presenters to investigate the effect of appearance and gender. A total of 200 participants looked at the speakers’ pictures with five different expressions before delivering the speech. They then watched videos with the same speakers and similar expressions while delivering the speech. The results showed that happiness was the most pleasant and positive expression, followed by confidence, indifference, shyness, and anger, when the participants watched the speakers before the presentation. However, confidence was considered the most pleasant, credible, and comprehensible expression, followed by happiness, anger, shyness, and indifference, while giving the speech. In both cases, female presenters were perceived as the most pleasant, and brown-haired/dark-eyed speakers were considered the most pleasant, credible, and comprehensible. The speakers’ expressions were perceived as more intense before the speech than during the discourse. This line of research helps understand the influence of these two crucial moments in presentations, and the results may be transferred into practice for public speaking training.</jats:p>

<jats:p>Since the beginning of the 21st century, an increasing number of Chinese researchers have joined the ranks of the world’s top scientists. Some international organizations have observed this phenomenon and ranked the world’s top Chinese researchers. However, investigation of highly cited interdisciplinary research (IDR) scholars is insufficient, although IDR tends to have a greater social impact. Looking at the top 2% of the world’s Chinese scholars, this study analyzes the structural attributes of IDR by those top scholars in detail using network analysis, cluster analysis, block modeling, and quadratic assignment procedure analysis. The results show that the proportion of highly cited scholars in technical categories is higher than in social categories. The fields of artificial intelligence and image processing, oncology and carcinogenesis, plus neurology and neurosurgery serve as bridges across disciplines, with materials, energy, and artificial intelligence and image processing having higher eigenvector centrality. The field of social sciences has the widest range of IDR activities, but cooperation within this field is low. Forty-two of the world’s first-class universities are in China, and of the world’s top 2% scholars who come from China, 46.3% work for these institutions. The research themes of highly cited academics from World First-Class universities in China are most similar to the themes of scholars from universities in China with first-class academic disciplines. There are differences between non-university and university scholars in terms of research topics. It is suggested that the government can promote a triple-helix effect (public institute, industrial enterprise, and research school) so that organizations of different natures can produce synergistic effects.</jats:p>

<jats:p>This study addresses the factors that increase the persuasive impact of testimonial narrative messages on artificial intelligence (AI). In particular, the effect on two variables that, to date, have not been explored in this field is analyzed: the attitudes toward AI (positive versus ambivalent) expressed by the protagonist of the narrative message (a testimonial in audiovisual format) and the role of participants’ prior beliefs about AI. An online experiment (N = 652) was carried out to contrast the effect of attitudinal similarity on identification with the protagonist of the narrative message and the indirect effect on attitudes and intention to use AI. The results showed that the message whose protagonist expressed positive attitudes toward AI induced greater identification only in those participants with previous positive beliefs. In contrast, the message whose protagonist expressed ambivalent attitudes toward AI induced greater identification only among participants with previous negative beliefs. In addition, identification and cognitive elaboration were found to mediate the effect of attitudinal similarity on the attitude toward and intention to use AI. These findings are discussed in the context of narrative persuasion research and the development of campaigns for improving social perceptions of data science.</jats:p>

<jats:p>The Covid-19 pandemic has highlighted the need for governments and health administrations at all levels to have an open data registry that facilitates decision-making in the planning and management of health resources and provides information to citizens on the evolution of the epidemic. The concept of “open data” includes the possibility of reutilization by third parties. Space and time are basic dimensions used to structure and interpret the data of the variables that refer to the health status of the people themselves. Hence, the main objective of this study is to evaluate whether the autonomous communities’ data files regarding Covid-19 are reusable to analyze the evolution of the disease in basic spatial and temporal analysis units at the regional and national levels. To this end, open data files containing the number of diagnosed cases of Covid-19 distributed in basic health or administrative spatial units and temporal units were selected from the portals of the Spanish autonomous communities. The presence of infection-related, demographic, and temporal variables, as well as the download format and metadata, were mainly evaluated. Whether the structure of the files was homogeneous and adequate for the application of spatial analysis techniques was also analyzed. The results reveal a lack of standardization in the collection of data in both spatial and temporal units and an absence of, or ambiguity in, the meaning of the variables owing to a lack of metadata. An inadequate structure was also found in the files of seven autonomous communities, which would require subsequent processing of the data to enable their reuse and the application of analysis and spatial modeling techniques, both when carrying out global analyses and when comparing patterns of evolution between different regions.</jats:p>