scholarly journals Big Data and Their Social Impact: Preliminary Study

2019 ◽  
Vol 11 (18) ◽  
pp. 5067 ◽  
Author(s):  
Miltiades D. Lytras ◽  
Anna Visvizi
Keyword(s):  
Big Data ◽  
Social Science ◽  
Computer Science ◽  
Cross Section ◽  
Social Impact ◽  
Personal Data ◽  
A Value ◽  
The Social ◽  
Preliminary Study ◽  
Specific Impact

Big data is the buzz-word of today, and yet their specific impact on individuals and societies remains assumed rather than fully understood. Clearly, big data and their use have already given rise to a number of questions, including those of how data can be collected and used in ethical and socially sensitive ways. Building on these points, the objective of this study was to explore how precisely big data and big data based services influence individuals and societies. This paper elaborates on individuals’ perceptions of data, especially on how they perceive the actual sharing of their data. In this way, this paper defines a value space for the social impact of big data relevant to three factors, namely the intention to share personal data, individual’s concerns, and social impact of big data.The main contribution of this study consists of the insights into the still nascent area of research that unfolds at the cross-section of social science and computer science. We expect that in the next years this area of research will gain prominence.

scholarly journals Privatizing the Commons: Protest and the Moral Economy of National Resources in Jordan

2021 ◽  
Vol 66 (S29) ◽  
pp. 113-137
Author(s):  
Matthew Lacouture
Keyword(s):  
Social Movement ◽  
Cross Section ◽  
Structural Adjustment ◽  
Social Impact ◽  
Moral Economy ◽  
Arab Uprisings ◽  
Food Riots ◽  
The Social ◽  
The Commons ◽  
Phosphate Mines

AbstractThis article interrogates the social impact of one aspect of structural adjustment in the Hashemite Kingdom of Jordan: privatization. In the mid-2000s, King Abdullah II privatized Jordan's minerals industry as part of the regime's accelerated neoliberal project. While many of these privatizations elicited responses ranging from general approval to ambivalence, the opaque and seemingly corrupt sale of the Jordan Phosphate Mines Company (JPMC) in 2006 was understood differently, as an illegitimate appropriation of Jordan's national resources and, by extension, an abrogation of the state's (re-) distributive obligations. Based on interviews with activists, I argue that a diverse cross-section of social movement constituencies – spanning labour and non-labour movements (and factions within and across those movements) – perceived such illegitimate privatizations as a moral violation, which, in turn, informed transgressive activist practices and discourses targeting the neoliberal state. This moral violation shaped the rise and interaction of labour and non-labour social movements in Jordan's “Arab uprisings”, peaking in 2011–2013. While Jordan's uprisings were largely demobilized after 2013, protests in 2018 and 2019 demonstrate the continued relevance of this discourse. In this way, the 2011–2013 wave of protests – and their current reverberations – differ qualitatively from Jordan's earlier wave of “food riots” in 1989 (and throughout the 1990s), which I characterize as primarily restorative in nature.

scholarly journals A Citizen’s Claim: Science With and for Society

2020 ◽  
Vol 26 (8-9) ◽  
pp. 943-947 ◽  
Author(s):  
Marta Soler ◽  
Aitor Gómez
Keyword(s):  
Social Science ◽  
Social Impact ◽  
Social Research ◽  
Social Science Research ◽  
Qualitative Evaluation ◽  
Science Research ◽  
Science Inquiry ◽  
Vulnerable Groups ◽  
The Social ◽  
Qualitative Methodologies

Social science research has been attacked by neoliberal thinkers who allege that such research lacks economic objectives. In the face of neoliberal and positivist criteria for evaluating the social impact of social science inquiry, social science researchers are developing qualitative evaluation methodologies through which we can have direct contact with citizens. These qualitative methodologies declare our social responsibility as social researchers in addressing relevant problems, especially those affecting the most vulnerable people. From these qualitative methodologies, the most vulnerable groups are included in the assessment of the social impacts of social research. Some examples of people who have participated in this qualitative evaluation include women, youth, immigrants, and Roma organizations. Participants perceived social science researchers as being far from their social reality, but in this research, they began to overcome their skepticism that social science research can help to solve those problems affecting their everyday lives.

scholarly journals Big data and privacy: The study of privacy invasion acceptance in the world of big data

2017 ◽  
Vol 5 (1) ◽  
pp. 57-71
Author(s):  
Jędrzej Wieczorkowski ◽  
Przemysław Polak
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Personal Data ◽  
Social Consequences ◽  
Social Aspect ◽  
Commercial Use ◽  
Private Data ◽  
The Social ◽  
Business Application ◽  
Privacy Violation

The phenomenon of big data includes technological (new opportunities), business (application), and social aspect. The social aspect applies to the social consequences of the use of big data methods, in particular, those related to the processing of personal and other private data , as well as the danger of privacy violation. In the context of the big data phenomenon, this study presents the results of a survey on the level of acceptance of privacy violation resulting from mass data processing. The different objectives of processing were taken into account, including general, social and commercial. This study helps to draw conclusions concerning commercial and non-commercial use of private data, as well as the legal regulations on personal data processing.

scholarly journals Special Issue on New Trends in Agent-Based Simulation

2011 ◽  
Vol 15 (2) ◽  
pp. 165-165
Author(s):  
Keiki Takadama ◽  
Kiyoshi Izumi
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Computer Science ◽  
Mutual Influence ◽  
Real Data ◽  
Special Issue ◽  
Learning Mechanisms ◽  
Agent Based Simulation ◽  
Agent Based ◽  
The Social

Agent-Based Simulation (ABS), an interdisciplinary area embracing both the computer science and the social science, has attracted much attention and aided the understanding of socially complex phenomena. A current important issue in this research area is how to improve ABS effectiveness and comprehension, which makes further mutual influence between the computer science and the social sciences indispensable - e.g., (1) agent modeling involving learning mechanisms in the computer science and (2) social dynamics analysis needed in the social science. Such integration of these two areas would help fulfill the great potential of ABS, first in solving complex engineering problems using agent-based technology and second in developing and testing new theories on socially complex systems. This special issue features ABS papers from both of these important areas exploring new trends in ABS. The 10 papers composing this special issue start with papers by Nobutada Fujii and Hiroyasu Inoue analyzing the relationship between the network structure and system dynamics. In these papers, an agent-based computational economics approach has been active in applying agent-based technologies to financial and economic systems. Papers by Biliana Alexandrova-Kabadjova, Isamu Okada, TomokoOhi, and Nariaki Nishino cover consumer and financial markets using agent-based models. They test economic theory and examine market phenomena for market design. Agent-based simulation is increasingly used in application fields in the social sciences. Papers by Kiyoshi Izumi, Hideki Fujii, Hiromitsu Hattori, and Shigeo Sagai propose solutions for actual social problems such as injury prevention, traffic, and electrical power. Models are created based on behavior data, and the integration of an agent-based model and real data is a hot topic in this area. As the beginning of these technical papers, this issue starts by a position paper to give an ABS overview for understanding important issues in ABS from an overall viewpoint and for understanding state-of-the-art ABS. The information presented is invaluable in helping readers grasp the important features of ABS.

Application of Cloud Technology in Social Science Research

2014 ◽  
Vol 926-930 ◽  
pp. 2670-2673
Author(s):  
Ying Ming Xu ◽  
Shu Juan Jin
Keyword(s):  
Cloud Computing ◽  
Social Science ◽  
Computer Science ◽  
Statistical Method ◽  
Social Science Research ◽  
Science Research ◽  
Cloud Technology ◽  
The Social

America science thought sociology is measurable, can be observed by the statistical method of the computer, which may change the human will can not be measured on the social thoughts. As the frontier of computer science, cloud computing can measure play an important role in the society. This article from the concept to calculate starting, development of cloud computing has made the detailed introduction to the influence of sociology, and a prediction of cloud computing application in sociology.

scholarly journals Speaking Sociologically with Big Data: Symphonic Social Science and the Future for Big Data Research

Sociology ◽  
2017 ◽  
Vol 51 (6) ◽  
pp. 1132-1148 ◽  
Author(s):  
Susan Halford ◽  
Mike Savage
Keyword(s):  
Big Data ◽  
Social Science ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Digital Data ◽  
The Social ◽  
The Future

Recent years have seen persistent tension between proponents of big data analytics, using new forms of digital data to make computational and statistical claims about ‘the social’, and many sociologists sceptical about the value of big data, its associated methods and claims to knowledge. We seek to move beyond this, taking inspiration from a mode of argumentation pursued by Piketty, Putnam and Wilkinson and Pickett that we label ‘symphonic social science’. This bears both striking similarities and significant differences to the big data paradigm and – as such – offers the potential to do big data analytics differently. This offers value to those already working with big data – for whom the difficulties of making useful and sustainable claims about the social are increasingly apparent – and to sociologists, offering a mode of practice that might shape big data analytics for the future.

scholarly journals Desinformação Digital em Rede e Competência Crítica em Informação

2021 ◽  
Vol 30 (1) ◽  
Author(s):  
Felipe Mello ◽  
Marco Schneider
Keyword(s):  
Big Data ◽  
Information Literacy ◽  
Social Impact ◽  
Human Cognition ◽  
Critical Information ◽  
The Past ◽  
Digital Network ◽  
The Social

The contemporary notion of disinformation bears some resemblance to the Augustinian concept of lying, as it carries with it the intention to deceive. Today, as in the past, several forms of deliberate deception reinforce illusions and prejudices, given that human cognition is deceptive. The novelty is the social impact resulting from the immense capacity for capturing, processing and circulating data of current sociotechnical mediations of information, which operate on the big data scale and whose reach, speed and capillarity make digital network disinformation an unprecedented and alarming phenomenon. The promotion of critical information literacy, which involves the maturation of critical sense, appears as a crucial means to mitigate the problem.

scholarly journals Big Data Research for Social Science and Social Impact

2019 ◽  
Vol 12 (1) ◽  
pp. 180 ◽  
Author(s):  
Miltiadis D. Lytras ◽  
Anna Visvizi
Keyword(s):  
Social Sciences ◽  
Big Data ◽  
Social Science ◽  
Social Impact ◽  
Science Research ◽  
Special Issue ◽  
Future Directions ◽  
Policy Makers ◽  
Computer Science Research ◽  
Recent Developments

This Special Issue of Sustainability devoted to the topic of “Big Data Research for Social Sciences and Social Impact” attracted significant attention of scholars, practitioners, and policy-makers from all over the world. Locating themselves at the cross-section of advanced information systems and computer science research and insights from social science and engineering, all papers included in this Special Issue contribute to the debate on the use of big data in social sciences and big data social impact. By promoting a debate on the multifaceted challenges that our societies are exposed to today, this Special Issue offers an in-depth, integrative, well-organized, comparative study into the most recent developments shaping the future directions of interdisciplinary research and policymaking.

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