Suchergebnisse

AbstractCulturally Responsive and Equitable Evaluation requires evaluators to understand the social and intersectional identity experienced by Hispanic/Latino/Latinx communities, inclusive of immigrants in the United States. This chapter introduces relevant issues for evaluators to consider when working with Latinx immigrants. Evaluators must simultaneously address biases that people have toward Latinx immigrants; heed intergroup diversity among Latino immigrants, and increase Latinx immigrants' knowledge about their existing environment and their ability to advocate for themselves. Likewise, they must advocate for change in policies and practices of public, private, and nonprofit institutions to be more welcoming and responsive to Latinx immigrants' needs; build social support and foster a shared sense of community between immigrants and their communities, and transform the way multiple institutions with related goals and services work together to provide more seamless support to Latinx immigrants. Furthermore, stakeholders must be involved in the change process, with data made available at the stakeholder level to incite change. Therefore, evaluators must spend adequate time during the design phase to align their understanding, expectations, and strategies. Evaluators working collaboratively with diverse Latinx immigrants ensures these perspectives are integrated throughout the process and to address unanticipated challenges.

This book examines the evolution of Spanish foreign policy since 1975, through five different presidencies, spanning its transformation from a dictatorial political system and backward economy to a modern European state, fully democratic and with a well-functioning market economy, under strain from the Eurozone Sovereign Debt crisis. It explains how domestic developments and external factors have combined to shape Spain's international relations, assessing the impact of EU membership and providing an example of how middle powers can pursue their foreign policy objectives in the international s

This book examines the evolution of Spanish foreign policy since 1975, through five different presidencies, spanning its transformation from a dictatorial political system and backward economy to a modern European state, fully democratic and with a well-functioning market economy, under strain from the Eurozone Sovereign Debt crisis. It explains how domestic developments and external factors have combined to shape Spain's international relations, assessing the impact of EU membership and providing an example of how middle powers can pursue their foreign policy objectives in the inter.

Polarization is threatening the stability of democratic societies. Until now, polarization research has focused on opinion extremeness, overlooking the correlation between different policy issues. We explain the emergence of hyperpolarization, i.e. the combination of extremeness and correlation between issues, by developing Weighted Balance Theory (WBT), a new theory of opinion formation. WBT extends Heiders cognitive balance theory to encompass multiple weighted attitudes. We validate WBT on empirical data from the 2016 National Election Survey. Furthermore, we develop an opinion dynamics model based on WBT, which, for the first time, is able to generate hyperpolarization and to explain the link between affective and opinion polarization. In addition, our theory encompasses other phenomena of opinion dynamics, including mono - polarization and backfire effects. ; ISSN:1460-7425

Polarization is threatening the stability of democratic societies. Until now, polarization research has focused on opinion extremeness, overlooking the correlation between different policy issues. We explain the emergence of hyperpolarization, i.e. the combination of extremeness and correlation between issues, by developing Weighted Balance Theory (WBT), a new theory of opinion formation. WBT extends Heiders cognitive balance theory to encompass multiple weighted attitudes. We validate WBT on empirical data from the 2016 National Election Survey. Furthermore, we develop an opinion dynamics model based on WBT, which, for the first time, is able to generate hyperpolarization and to explain the link between affective and opinion polarization. In addition, our theory encompasses other phenomena of opinion dynamics, including mono - polarization and backfire effects.

We examine the patterns of medical preprint sharing on Twitter during the early stages of the COVID-19 pandemic. Our analysis demonstrates a stark increase in attention to medical preprints among the general public since the beginning of the pandemic. We also observe a political divide in medical preprint sharing patterns - a finding in line with previous observations regarding the politicisation of COVID-19-related discussions. In addition, we find that the increase in attention to preprints from the members of the general public coincided with the change in the social media-based discourse around preprints.

This study grounded on computational social sciences and social psychology investigated sentiment and life domains, motivational, and temporal themes in social media discussions about robotic technologies. We retrieved text comments from the Reddit social media platform in March 2019 based on the following six robotic technology concepts: robot ( N = 3,433,554), AI ( N = 2,821,614), automation ( N = 879,092), bot ( N = 21,559,939), intelligent agent ( N = 15,119), and software agent ( N = 18,324). The comments were processed using VADER and LIWC text analysis tools and analyzed further with logistic regression models. Compared to the other four concepts, robot and AI were used less often in positive context. Comments addressing themes of leisure, money, and future were associated with positive and home, power, and past with negative comments. The results show how the context and terminology affect the emotionality in robotic technology conversations.

Background: This study sought to analyse the metric properties of the scores obtained with an adaptation of the Student Bystander Behaviour Scale (SBBS; Thornberg & Jungert, 2013) in Spanish primary-school students and to examine the types of responses students reported as witnesses to school bullying, along with their relationship to empathy. Method: The Spanish adaptation of the SBBS and a self-report questionnaire about empathy were given to 1108 primary-school students, aged 9-11 years old (48.4% girls) in Asturias (Spain). The students were from 29 schools, selected by simple random sampling from all of the primary schools in the region. Results: Exploratory and confirmatory factor analysis indicated that the adapted version, like the original SBBS, measured three types of witness response to school bullying: defender, passive, and pro-bully. Most students reported that they defended, or would defend, the victim. This trend was more marked in those who had not witnessed bullying. The type of response to bullying was related to empathy, positively with defender responses, and negatively with passive and pro-bully responses. Conclusions: The scores from the adapted version of the SBBS demonstrated metrics of reliability and validity suitable for identifying the type of response to school bullying from primary-school students. ; Funding Agencies|Government of the Principality of Asturias (Spain) (Plan of Science, Technology and Innovation) [2018-2022]; European Union (European Regional Development Fund-ERDF) [FCGRUPINIDI/2018/000199]; Spanish Ministry of Science, Innovation and UniversitiesSpanish Government [MCIU-19PGC2018-097739-B-I00]

The pervasive presence of online media in our society has transferred a significant part of political deliberation to online forums and social networking sites. This article examines popularity, reputation, and social influence on Twitter using large‐scale digital traces from 2009 to 2016. We process network information on more than 40 million users, calculating new global measures of reputation that build on the D‐core decomposition and the bow‐tie structure of the Twitter follower network. We integrate our measurements of popularity, reputation, and social influence to evaluate what keeps users active, what makes them more popular, and what determines their influence. We find that there is a range of values in which the risk of a user becoming inactive grows with popularity and reputation. Popularity in Twitter resembles a proportional growth process that is faster in its strongly connected component, and that can be accelerated by reputation when users are already popular. We find that social influence on Twitter is mainly related to popularity rather than reputation, but that this growth of influence with popularity is sublinear. The explanatory and predictive power of our method shows that global network metrics are better predictors of inactivity and social influence, calling for analyses that go beyond local metrics like the number of followers.