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114 result(s) for "Romero-Rodríguez, Luis M"
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Representation of mental illness and disorders in Iberoamerica digital media
Background A recent bibliometric analysis of 130 research studies on media coverage of mental disorders between 2002 and 2022 found that, in most cases, research insists that media coverage of mental disorders is generally negative. The objective of this research is to examine the tone and content of articles on mental health in the main digital media in Ibero-America in 2023. Likewise, we sought to identify the most common types of disorders or emerging disorders and whether the news items establish very simplistic links of mental health with topics such as video games and social, financial, or gender issues. In this study, simplistic links were defined as media representations that establish direct and unsubstantiated causal relationships between mental health and a single external factor, such as social media use, video games, or certain social or gender conditions. For example, headlines that attribute depression exclusively to TikTok use or that associate anxiety solely with being female, without nuance or empirical support, were classified in this category. In contrast, approaches that acknowledge multiple causes or include expert perspectives were coded as complex or contextualized analyses. This distinction allowed for the identification of reductionist media narratives that reinforce stereotypes or oversimplify psychosocial phenomena. Methods The most important digital media in each Ibero-American country was selected, and articles published on mental health in 2023 were collected ( n  = 20,020). Subsequently, mixed analysis was performed using an analysis sheet of a representative sample of information units ( n  = 1226). Results The majority representation of mental health was neutral in tone (56%), while a positive tone was evident in only 27% of the sample. Negative representation (17%) was generally linked to crime and substance abuse problems. The conditions with the highest frequency in the analyzed media were depression ( n  = 161), anxiety ( n  = 158), stress ( n  = 144), suicide ( n  = 88), substance addiction ( n  = 83), and neurocognitive disorders ( n  = 68). In 187 reports, simplistic links about disorders, especially the abuse of social networks and social issues, such as poverty or social exclusion, were found to emerge mainly in reports in which expert sources were contrasted. Conclusions The neutral representation of mental health in the media should not be considered a positive aspect, since a more proactive approach should be encouraged, focusing on the details of each situation without articulating homogeneous stories, which invites us to reflect on the formative and sensitizing role of the media, especially in a context marked by misinformation, digital noise, and the rapid growth of mental illness in the population.
Internal communication from a happiness management perspective: state-of-the-art and theoretical construction of a guide for its development
Objective This study aims to conduct a literature review and meta-analysis on the use of Happiness Management strategies in internal communication. The objective was to extract theoretical constructs of dimensions and indicators for the development of a guide for its application, validated by a panel of experts. Methods A systematic literature review and meta-analysis was performed under the protocol of the PRISMA Extension Guide of articles indexed in the Scopus database (2019–2024). The total number of extracted documents ( n  = 479) was screened based on the inclusion criteria, and the sample was delimited by 49 studies. Subsequently, after reading and analyzing the research, the dimensions and indicators of internal communication from a Happiness Management perspective were clustered. This guide was submitted to a panel of 13 experts who determined the reliability and validity of the construct and content using the Content Validity Index (CVI). Results The dimensions and indicators emerging from the literature were validated with an average ( X ¯ ) of 3.36/4, achieving a level of inter-judge agreement (CVI) of 0.86, an excellent agreement of 86%, and an average score of 2.90/4 (high). The guide was composed of 9 dimensions of internal communication: Attitudes of the leader, employer or supervisor, Climate and communication policies, Feedback and recognition, Organizational environment and structures, Peer and informal communication, Organizational culture and business perspective, Employee-organization relationship, Communication media and platforms, and Employee attitudes, which brought together 103 variables. These dimensions were then reorganized into the three macro-dimensions of the Happiness Management philosophy: (1) active construction of a healthy work environment and well-being, (2) formation of employees’ positive personality, and (3) active emotional experience during the working day to build the internal communication development guide from the Happiness Management perspective. Conclusions Integrating Happiness Management into internal communication can significantly enhance employee well-being and organizational effectiveness. The validated framework provides a detailed guide for aligning internal communication strategies with the Happiness Management principles.
Integrating Artificial Intelligence and Big Data in Spanish Journalism Education: A Curricular Analysis
Artificial intelligence (AI) and big data have impacted different professional sectors in our society. Communication and journalism are clearly among them. From the automatic generation of content to the identification of topics of interest or monitoring of users’ usage habits, AI introduces important training challenges for professionals in the field of communication. Meanwhile, big data analytics enables data journalists to handle large amounts of information in an automated manner, allowing them to perform in-depth analysis of disorganized data. This study analyzes the integration of artificial intelligence (AI) and big data in the curricula of journalism degrees offered by Spanish universities. The research employs quantitative and qualitative methods to examine the typology, syllabus, and distribution of subjects directly or indirectly addressing AI and big data topics, based on indicators such as structure, credit system, objectives, competencies, and professional profiles. The results reveal a scarce integration of AI and Big Data subjects in journalism curricula in Spain. Among the analyzed courses, only seven addressed data journalism as a complete course, while 19 introduced AI and Big Data as part of more general content. The study highlights the need for journalism education to adapt to the disruptive impact of AI and big data on the profession. It discusses the debate between focusing on teaching technological skills versus providing critical and ethical values. The research aims to contribute to the discussion on the readiness of journalism curricula to cope with technological advancements by analyzing the Spanish case.
Integrated research model for web interfaces: toward a taxonomy of quantitative and qualitative analysis for digital native media
In a context marked by the emergence of new platforms and interfaces, digital native media face the challenge of organizing and presenting their content in an effective and eloquent way. This milestone requires ongoing work toward the identification and conceptualization of the dimensions that map the structural and formal requirements necessary for fluid communication with audiences and adequate visibility in the digital ecosystem. This study, which adopts a quantitative–qualitative methodological design, proposes, describes, and applies a taxonomy for the analysis of digital media web interfaces. Based on a review of the literature, two rounds of expert judgment, and a pilot test, the research identifies 14 thematic dimensions, 36 indicators, and 69 variables. The study focuses on the importance of renewing research about taxonomy related to structural dimensions that address narrative, quality, usability, information search, and content redissemination and socialization, among other aspects. The study of web interfaces applied to journalism demands long-term research work with a holistic approach that, at a conceptual and practical level, can offer proposals for analysis and diagnosis on the basis of an integrated method.
Hola Followers! Content Analysis of YouTube Channels of Female Fashion Influencers in Spain and Ecuador
The objective of this article is to analyze the contents and unconventional advertising narratives of the eight most important women in the world of fashion in Spain and Ecuador in relation to the number of followers and points of view, in order to identify the discursive and esthetic strategies and narratives that may reflect the keys to their experience as prescribers, through a content analysis based on the interpretation of the five most viewed videos between 2018 and 2019 from four Spanish to four Ecuadorian YouTube channels (ME = 40) based on a three-round Delphi analysis sheet with a validity of W = 0.828 and α = .947. The content is analyzed from a qualitative perspective, which allows an in-depth exploration of the dimensions and indicators of impact and influence on YouTube channels. The research presents the findings that the influencers reviewed use crutches, idioms, and set phrases to identify with their audience. The audiovisual narrative is simple, maintaining its amateur style. Advertising positioning in the channels analyzed is given by identifying the brand in the spoken discourse, the presence of brand logos, advertisements and promotions, and the presence of products of the sponsoring brands.
OK, Boomer: New Users, Different Platforms, New Challenges
The popularization of new interaction spaces brings new narratives and social phenomena that merit attention from the scientific community. Based on the existing literature on the new challenges facing the communication discipline with these emerging narratives, this editorial summarizes the empirical and theoretical contributions of the thematic issue entitled “New Narratives for New Consumers: Influencers and the Millennial and Centennial Generations.” The authors emphasize that the studies selected for this thematic issue explore the innovative features and opportunities of the emerging scenarios and offer a cautionary account of their structural problems and the urgency of a new media literacy.
Information Quality in Latin American Digital Native Media: Analysis Based on Structured Dimensions and Indicators
The current communicative ecosystem has profoundly transformed journalistic work and the media, generating with great eagerness the emergence of digital native media that do not follow the logic of their conventional peers. Although the advent of these media is not entirely negative, as they create multiple voices that contribute to pluralism, their quality has undoubtedly been questioned on several academic fronts. This work analyzes the most important Latin American digital native media by number of accesses (traffic), using a taxonomy of evaluation of dimensions of the informative quality, in which aspects such as informative sources, uses of international news agencies, correction of contents and factuality levels, ideological plurality in their opinion contents, among others, are taken into consideration. Of the emerging results, the ‘use of statistical indicators’ was the least rated (32.5%), mainly due to a lack of data journalism in the media studied. It is also worth noting that the indicator ‘comments and monitoring’ obtained the second-lowest rating, indicating an absence of conversation between the media and its audience through the comments section of each content.
The Process of The Transfer of Hate Speech to Demonization and Social Polarization
We are living through a time of major political changes due to the rise of populist leaders and the resurgence of extreme ideological movements. The emergence of this phenomenon is due, to a large extent, to the ease with which these political actors can disseminate and spread their messages without any limits through social networks, leaving aside the former “fourth power” of the media as filterers and reinterpreters of information. Generally, the formula used by these leaders and movements is usually based on symbolic social division and polarization through hate speeches that allow demonizing their adversaries while antagonizing the issuers: a discursive “us” against “them” based on verbal violence to dehumanize an “exogroup.” We want to discuss the importance of understanding the process of communicational transfer—which begins with hate speech and evolves into demonization and social polarization—as a strategic basis for creating an ideal scenario for the growth and strengthening of populist discourse, which is reductionist and simplifying in nature.
Impact of Teaching Workload on Scientific Productivity: Multidimensional Analysis in the Complexity of a Mexican Private University
Researchers primarily dedicate their time to teaching in Latin American universities. For this reason, it is essential to determine how teaching time affects (or contributes to) the scientific productivity of researchers working under these conditions. We analyzed the incidence of gender, groups taught at undergraduate and graduate levels, the researcher proficiency level, and the number of thesis students advised, among others, for the impact on the scientific productivity (annual publications) of a group of professors. We analyzed the data using both statistical and regression methods. Contrary to our initial hypothesis, the number of groups taught does not significantly influence research productivity; it is affected by other factors such as belonging to the Mexican Researcher System (SNI) or having a researcher or administrative position at the institution. Our results can help guide the formulation of academic and research policies that contribute to the scientific productivity of Latin American universities.
Workplace happiness as a trinomial of organizational climate, academic satisfaction and organizational engagement
Purpose The present research aims to study the correlations among organizational climate, academic satisfaction and organizational commitment as factors that influence happiness at work by applying a structural equation model to Spanish National Police cadets. Design/methodology/approach A descriptive, quantitative, correlational, exploratory and cross-sectional empirical study was carried out. A measurement instrument was applied to a target population of 397 student-inspectors enrolled for the 2018–2020 academic year on the executive scale at the National Police School (EPN) in Spain. A sample of 190 surveys was obtained, of which 33 were open competition, 52 were competitive examinations and 105 were selective seniority. Findings Structural equation modeling shows that academic satisfaction, organizational climate and practical organizational commitment are recommended variables for assessing happiness within organizations. On the other hand, there is a bit of a positive relationship between happiness and practical organizational commitment. The same is not true for the parameters of academic satisfaction and organizational climate. Originality/value This study fills a gap in the literature on the analysis of governance models in public administration. This is particularly relevant in professions that require a high degree of engagement with citizens, such as police officers. According to the authors’ knowledge, this study is one of the first works to analyze corporate governance in police cadet schools in Spain under the happiness management approach. It contributes by offering a better understanding of the psychosocial variables that affect the existence of good governance.