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"Social indicators"
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Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research
by
Aria, Massimo
,
Spano, Maria
,
Misuraca, Michelangelo
in
Authors
,
Bibliometrics
,
Corpus analysis
2020
Social Indicators Research (SIR) year by year has consolidated its preeminent position in the debate concerning the study of all the aspects of
quality of life
. The need of a journal focused on the quantitative evaluation of social realities and phenomena dating back to the seventies, when a new branch of Social Science—called
Social Indicators Research
—came into the international scientific landscape. This paper aims at reviewing the whole collection of publications appeared on SIR from 1989 to 2018, providing a complete overview of the main factor that affected the journal in the last 30 years. The approach followed to analyse this extensive
corpus
of documents relies upon the theoretical framework of bibliometric studies.
Journal Article
Fifty Years After the Social Indicators Movement: Has the Promise Been Fulfilled?
2018
This paper reviews the origins, promise, and subsequent development of social indicators/quality-of-life/well-being conceptualizations and research since the 1960s. It then assesses the state of this field in the 2010s and identifies four key developments—the development of professional organizations that nurture its conceptual and empirical development; the widespread political, popular, and theoretical appeal of the quality-of-life (QOL) concept; a new era of the construction of composite or summary social indicators; and a recognition of the key role of the QOL concept in connecting social indicators to the study of subjective well-being—that have evolved over the past five decades and that are very much with us today. The final section of the paper poses the question of where the field should focus its energies. Beyond carrying on the existing research program, it argues that the field needs to recognize the substantial changes in the social and economic organization of contemporary societies as compared to the mid-1960s launch period for the Social Indicators Movement and develop new research foci for the years to come.
Journal Article
For good measure : an agenda for moving beyond GDP
\"A consensus has emerged among key experts that our conventional economic measures are out of sync with how most people experience their lives. GDP, they argue, is a poor and outmoded measure of our well-being. The global movement to advance beyond GDP has attracted some of the world's leading economists, statisticians, and social thinkers who have worked collectively to articulate new approaches to measuring economic well-being and social progress. In the decade since the 2008 economic crisis, these experts have come together to create a new \"dashboard\" of indicators of what actually makes for better lives. In the first book of its kind, leading economists from around the world-including Thomas Piketty, Emmanuel Saez, Jacob Hacker, Franًcois Bourguignon, Alan Krueger, and Joseph E. Stiglitz-describe a range of fascinating metrics-from economic insecurity and environmental sustainability to inequality of opportunity and levels of trust and resilience-that can at least supplement the simplistic measure of gross domestic product, providing a far more nuanced and accurate account of societal health and well-being. This groundbreaking volume is sure to provide a major source of ideas and inspiration for one of the most important intellectual movements of our time\"-- Provided by publisher.
Social Media and Twitter Data Quality for New Social Indicators
by
Biffignandi, Silvia
,
Bianchi, Annamaria
,
Salvatore, Camilla
in
Data quality
,
Economic indicators
,
Errors
2021
Social media represent an excellent opportunity for the construction of timely socio-economic indicators. Despite the many advantages of investigating social media for this purpose, however, there are also relevant statistical and quality issues. Data quality is an especially critical topic. Depending on the characteristics of the social media a researcher is using, the problems that arise related to errors are different. Thus, no one unique quality evaluation framework is suitable. In this paper, the quality of social media data is discussed considering Twitter as the reference social media. An original quality framework for Twitter data is introduced. A reformulation of the traditional quality dimensions is proposed, and the new quality aspects are discussed. The main sources of errors are identified, and examples are provided to show the process of finding evidence of these errors. The conclusion affirms the importance of using a mixed methods approach, which involves incorporating both qualitative and quantitative evaluations to assess data quality. A collection of good practices and proposed indicators for quality evaluation is provided.
Journal Article
Audit Culture
by
Shore, Cris
,
Wright, Susan
in
Anthropology
,
Anthropology-Statistical methods
,
Computer Science
2024
All aspects of our work and private lives are increasingly measured and managed. But how has this 'audit culture' arisen and what kind of a world is it producing?
Cris Shore and Susan Wright provide a timely account of the rise of the new industries of accounting, enumeration and ranking from an anthropological perspective, drawing on political economy, ethnographic observation and genealogical excavation.
Audit Culture is the first book to systematically document and analyse these phenomena and their implications for democracy.
The book explores how audit culture operates across a wide range of fields, including health, higher education, NGOs, finance, the automobile industry and the military. The authors build a powerful critique of contemporary public sector management in an age of neoliberal market-making, privatisation and outsourcing. They conclude by offering a raft of suggested actions to reverse its damaging effects on communities, reclaim professional autonomy, and restore the democratic accountability that audit culture is systematically undermining.
Confirmation of Subjective Wellbeing Set-Points
2018
The usefulness of subjective wellbeing (SWB) as a social indicator rests on understanding what controls its level when measured through self-report data. While the theory of SWB homeostasis provides a cogent explanatory framework for the control processes, this theory relies on set-points, and direct evidence for their existence rests on a single study. Cummins et al. (J Happiness Stud 15:183–206, 2014. doi:10.1007/s10902-013-9444-9) demonstrated a normal range of set-points between 71 and 90 points on a 0–100 scale, using data on global life satisfaction (GLS). These findings are consistent with homeostasis theory, which proposes that set-points account for the normal positivity of SWB while its stability is accounted for by homeostatic processes. The current paper extends the first report in two ways. First, by replicating the range of set-points using a different data set. Second, by extending the findings to homeostatically protected mood (HPMood), which is proposed to be the basic psychological molecule that homeostasis seeks to protect. Participants completed between 5 and 10 surveys. Data preparation involved the iterative elimination of scores based on significant deviation from their over-time mean score. It is confirmed that GLS and HPMood set-points are both normally distributed between 75 and 90 points. These results offer further support for the usefulness of SWB as a social indicator.
Journal Article