Data Visualization as Participatory Research: A Model for Digital Collections to Inspire User-Driven Research

The emerging creative practices of digital collections are increasing in prominence thanks to the access to, and appeal of, data visualizations. Interactive data visualizations, such as a map, timeline, chart, graph, or artist’s rendering of data, enable users to pursue their own research interests within a collection and participate in new areas of research. Use of these data visualizations enhances the scope of the collection and enables a modern and diverse thematic collection to emerge. This article considers the question: Does the addition of data visualizations affect how users participate with a research collection? Impacts on collection development, application of user-centered design, and analysis of users’ exploratory strategies are discussed. Examples of data visualizations used in digital humanities projects and digital collections are presented as case studies.     

Disabled Children and Residential Schools: The Implications for Local Education Professionals

Jenny Morris, freelance researcher, David Abbott, research associate at the Norah Fry Research Centre at the University of Bristol, and Linda Ward, Director of the Norah Fry Research Centre at the University of Bristol, carried out research to look at whether the current system of legislation and regulation is adequately protecting and promoting the interests of disabled children placed at residential schools. This article summarises some findings from the research which investigated the decision-making processes leading to residential special school placements and explored the involvement of education and social services authorities after placements have been made. The research found that the needs of individual children are not central to these decision-making processes; and that the local authorities who make such placements do not pay sufficient attention to protecting and promoting children's educational or care needs once they have gone away to school. Jenny Morris, David Abbott and Linda Ward indicate some of the ways in which current practice could be improved; make recommendations for future developments; and call for further research into the role of special residential schools in the context of policy on educational and social inclusion.     

Financial Feeling: An Investigation of Emotion and Communication in the Workplace

There is growing interest in the role of emotion when considering communication in the workplace. This work has most often considered workers in front-line service positions in investigations of emotional labor, and human service workers in investigations of empathy and emotional work. In this study, we consider processes of both emotional labor and emotional work in the financial planning profession. Financial planners occupy a role requiring ongoing relationships with clients, conversations about the often emotional topic of money, and a need to manage emotion in a variety of interaction contexts. Thus, from extant theory and literature regarding emotion and communication, we proposed research questions regarding the roles of emotional labor and emotional work in the financial planning profession. These questions were investigated in a web-based survey study of almost 300 professional financial planners and supporting interviews with 14 financial planners. Results indicate support for existing theory on emotional work, extensions to current research regarding emotional labor, and important implications for the role of emotion and communication in a range of professional service roles.     

A Model for Quantitatively Analyzing Representations of Social Class in Screen Media

Content analyses of prime-time television provide a picture of predominant cultural stereotypes and social trends. The present research is a quantitative content analysis of social class in popular broadcast and cable television in the United States. This research advances scholarship by systematically analyzing character class in addition to more commonly examined variables such as race and gender. A model for the operationalization of class for quantitative content analyses of mediated texts is offered. This proof of concept study demonstrates the viability of studying media representations of class quantitatively to systematically document patterns of portrayal.     

More than Bags of Words: Sentiment Analysis with Word Embeddings

ABSTRACT

Moving beyond the dominant bag-of-words approach to sentiment analysis we introduce an alternative procedure based on distributed word embeddings. The strength of word embeddings is the ability to capture similarities in word meaning. We use word embeddings as part of a supervised machine learning procedure which estimates levels of negativity in parliamentary speeches. The procedure’s accuracy is evaluated with crowdcoded training sentences; its external validity through a study of patterns of negativity in Austrian parliamentary speeches. The results show the potential of the word embeddings approach for sentiment analysis in the social sciences.