Beatriz Villarejo-Carballido

Bio: Beatriz Villarejo-Carballido is an academic researcher from University of Deusto. The author has contributed to research in topics: Dialogic & Social media. The author has an hindex of 4, co-authored 7 publications receiving 286 citations. Previous affiliations of Beatriz Villarejo-Carballido include University of Barcelona.

COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information

Abstract: The World Health Organization has not only signaled the health risks of COVID-19, but also labeled the situation as infodemic, due to the amount of information, true and false, circulating around t...

A New Application of Social Impact in Social Media for Overcoming Fake News in Health.

Abstract: One of the challenges today is to face fake news (false information) in health due to its potential impact on people's lives. This article contributes to a new application of social impact in social media (SISM) methodology. This study focuses on the social impact of the research to identify what type of health information is false and what type of information is evidence of the social impact shared in social media. The analysis of social media includes Reddit, Facebook, and Twitter. This analysis contributes to identifying how interactions in these forms of social media depend on the type of information shared. The results indicate that messages focused on fake health information are mostly aggressive, those based on evidence of social impact are respectful and transformative, and finally, deliberation contexts promoted in social media overcome false information about health. These results contribute to advancing knowledge in overcoming fake health-related news shared in social media.

Children and Adolescents Mental Health: A Systematic Review of Interaction-Based Interventions in Schools and Communities.

Abstract: Background: There is growing evidence and awareness regarding the magnitude of mental health issues across the globe, starting half of those before the age of 14 and have lifelong effects on individuals and society. Despite the multidimensional nature of this global challenge, which necessarily require comprehensive approaches, many interventions persist in seeking solutions that only tackle the individual level. The aim of this paper is to provide a systematic review of evidence for positive effects in children and adolescents' mental health resulting from interventions conducted in schools and communities in which interaction among different agents is an integral component. Methods: An extensive search in electronic databases (Web of Knowledge, SCOPUS, ERIC, and PsycINFO) was conducted to identify interventions in which interactions between peers, teachers, families or other community members or professionals played a role. Their effects on children and adolescents' mental health were also reviewed. We carried out a systematic review of papers published from 2007 to 2017. Eleven studies out of 384 met the inclusion criteria. Seven of the articles reviewed focus on interventions conducted in schools and promote supportive interactions involving students, teachers, families and mental health professionals. Four of the articles develop interventions that engage community members in dialogic interactions with children and adolescents. Results: Interventions in schools and communities implement strategies that foster supportive interactions among diverse actors including teachers, parents, community members, and other professionals. The effects of the mental health interventions reported on children and adolescents' problems include a decrease in disruptive behaviors and affective symptoms such as depression and anxiety, together with an increase in social skills, as well as an improvement in personal well-being. Conclusions: There is evidence of a positive effect on the mental health of children and adolescents, both in decreasing symptoms of mental disorder and in promoting emotional well-being. Whereas, interactions among different actors seem to be a relevant aspect across the interventions, more research is needed to conclude its effect on the outcomes of the studies reviewed.

Dialogic Model of Prevention and Resolution of Conflicts: Evidence of the Success of Cyberbullying Prevention in a Primary School in Catalonia

Abstract: This article analyses the evidence obtained from the application of the dialogic model of prevention and resolution of conflicts to eradicate cyberbullying behaviour in a primary school in Catalonia. The Dialogic Prevention Model is one of the successful educational actions identified by INCLUD-ED (FP6 research project). This case study, based on communicative methodology, includes the results obtained from documentary analysis, communicative observations and in-depth interviews. The evidence collected indicates that the implementation of this type of model can help to overcome cyberbullying; children are more confident to reject violence, students support the victims more and the whole community is involved in Zero Tolerance to violence.

Innovative Methodological Approach to Analyze Innovation and Social Impact

Abstract: The scientific literature has presented evidence of the links between innovation and change and has published excellent methodologies to analyze them. Nowadays, international scientific programs like Horizon Europe prioritize social impact and co-creation; researchers need to develop methodologies to analyze the link of innovation with change and new knowledge and specially with social impact. This paper presents an innovative methodological approach to this endeavor using Social Media Analytics to investigate citizens' participation in paying attention to and differentiating between innovations with social impact and innovations without social impact. The method used to address this aim is Social Media Analytics, specifically through a Twitter sample on innovation and social impact composed of 16,794 tweets obtained during January–June 2021. The result obtained indicates that the definition of methodologies to capture citizens’ participation in paying attention to and differentiating between innovation and social impact is crucial for advancing this innovative methodological approach to analyze innovation with social impact.

The European commission

Abstract: 2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

What social media told us in the time of COVID-19: a scoping review.

Abstract: With the onset of the COVID-19 pandemic, social media has rapidly become a crucial communication tool for information generation, dissemination, and consumption. In this scoping review, we selected and examined peer-reviewed empirical studies relating to COVID-19 and social media during the first outbreak from November, 2019, to November, 2020. From an analysis of 81 studies, we identified five overarching public health themes concerning the role of online social media platforms and COVID-19. These themes focused on: surveying public attitudes, identifying infodemics, assessing mental health, detecting or predicting COVID-19 cases, analysing government responses to the pandemic, and evaluating quality of health information in prevention education videos. Furthermore, our Review emphasises the paucity of studies on the application of machine learning on data from COVID-19-related social media and a scarcity of studies documenting real-time surveillance that was developed with data from social media on COVID-19. For COVID-19, social media can have a crucial role in disseminating health information and tackling infodemics and misinformation.

What social media told about us in the time of COVID-19: a scoping review

Abstract: With the onset of COVID-19 pandemic, social media has rapidly become a crucial communication tool for information generation, dissemination, and consumption. In this scoping review, we selected and examined peer-reviewed empirical studies relating to COVID-19 and social media during the first outbreak starting in November 2019 until May 2020. From an analysis of 81 studies, we identified five overarching public health themes concerning the role of online social platforms and COVID-19. These themes focused on: (i) surveying public attitudes, (ii) identifying infodemics, (iii) assessing mental health, (iv) detecting or predicting COVID-19 cases, (v) analyzing government responses to the pandemic, and (vi) evaluating quality of health information in prevention education videos. Furthermore, our review highlights the paucity of studies on the application of machine learning on social media data related to COVID-19 and a lack of studies documenting real-time surveillance developed with social media data on COVID-19. For COVID-19, social media can play a crucial role in disseminating health information as well as tackling infodemics and misinformation.