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.

Bridging the Gap between Citizens and Decision-Makers

2010 ◽  
pp. 573-586
Author(s):  
Karamagioli Evika
Keyword(s):  
Social Impact ◽  
Social Practices ◽  
Decision Makers ◽  
Democratic Accountability ◽  
Cultural Meanings ◽  
The Past ◽  
The Social ◽  
Modern Methods ◽  
Different Types ◽  
Efficiency And Effectiveness

Over the past few years the concepts of government and governance have been dramatically transformed. Not only is this due to increasing pressures and expectations that the way we are governed should reflect modern methods of efficiency and effectiveness, but also that government should be more open to democratic accountability. The following chapter will introduce the social impact dimension of e-democracy while proposing concrete directions and incentives that should be provided for engagement through electronic means. The intention is to highlight the fact that technology is the result of a combination of tools, social practices, social organizations, and cultural meanings. It not only represents social arrangements, but also has the potential to facilitate and / or limit different types of interaction.

scholarly journals Examining The Social Impact of Microfinance on Poverty Reduction

2021 ◽  
Vol 5 (1) ◽  
pp. 11-23
Author(s):  
DR. SAIF UL MUJAHID SHAH ◽  
DR. ANWAR UL MUJAHID SHAH ◽  
SYED ARSHAD ALI SHAH
Keyword(s):  
Rural Areas ◽  
Structural Equation ◽  
Poverty Reduction ◽  
Social Impact ◽  
Negative Impact ◽  
Social Indicators ◽  
Economic Indicators ◽  
The Past ◽  
The Social ◽  
The Impact

As Poverty has become a global challenge for all the nations around the world, from the past many years, different strategies have been used to reduce it. However, since 1980s Microfinance has become a powerful tool to alleviate poverty and it's not adopted even in the developing countries but also developed nations have been practicing it. Many of the past studies used the economic indicators to measure the impact of microfinance on poverty reduction, and few have concentrated on the social indicators. The purpose of this research is to examine the effect of microfinance as a poverty reduction in terms of social indicators in the rural areas of northern Khyber Pakhtunkhwa, Pakistan. The objective of this research is to check whether the established NGOs in the concern areas have been successful in bringing social change in the life of the beneficiaries. For the purpose of analysis, the structural equation model is applied to a sample of 440 collected through a structured questionnaire. Results show that microfinance had a negative impact on the health and education of the beneficiaries. This research indicates that more funds and priority should be given to the education and health sector because they have equal importance as compared to the other economic indicators.

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 Analysis of Social Phenomenon on Tattoo Using Big Data and Social Network Analysis - News texts for the last year as collated -

2021 ◽  
Vol 27 (5) ◽  
pp. 1139-1145
Author(s):  
Ran-Sug Seo
Keyword(s):  
Big Data ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Academic Research ◽  
Eigenvector Centrality ◽  
Social Phenomena ◽  
The Past ◽  
The Social ◽  
Newspaper Articles

The purpose of this study was to identify the social phenomena of tattoo, which have been of constant interest in our society, through analysis of social networks collected from big data on what the social phenomena implied in keywords emphasized in newspaper articles over the past year. To this end, by analyzing keywords about tattoos that frequently appeared in newspaper articles, we could see what the main interests of social phenomena related to tattoos were. Data on tattoos were collected from newspaper articles over the past year and analyzed how they formed meaning regarding the relationship structure and centrality between the keywords at issue through social network analysis. These findings provide basic data on social discussions and policy directions related to tattoos in practice and discussions related to ways to improve them. This study is an extension from existing quantitative research by analyzing the social phenomena of tattoos through Bigdata and social network analysis. Apart from statistical surveys or subjective qualitative research, we have approached them with content analysis using big data and social network analysis. The conclusion of this study is as follows. First, as a result of analyzing the word cloud regarding tattoos, it was confirmed that “rose” and “300” were the most prominent, and there were keywords that could analyze various other social phenomena. Second, as a result of analysis by connection centrality, it was proved that the social interest and popularity of tattoos increased. Third, as a result of analysis by eigenvector centrality, the popularity of tattoos was proved. It objectified academic research by attempting research from a different perspective from the analysis of research trends and provided visualized research results of readers.

scholarly journals Evaluation and the Big Data Challenge

2019 ◽  
Vol 41 (2) ◽  
pp. 166-181 ◽  
Author(s):  
Robert Picciotto
Keyword(s):  
Big Data ◽  
Social Impact ◽  
Data Governance ◽  
Evaluation Practice ◽  
Digital World ◽  
The Social

Evaluators have been slow to “plug” into the digital world, let alone engage with the strategic implications of the Big Data revolution for the evaluation discipline. Yet, Big Data holds enormous promise for extending the reach and improving the quality of evaluation practice. Equally, systematic recourse to evaluation would greatly improve the social impact of Big Data and guide much needed reform of the enabling framework of Big Data governance. Just as evaluation needs Big Data, Big Data needs evaluation.

scholarly journals Using big data to map the network organization of the brain

2014 ◽  
Vol 37 (1) ◽  
pp. 101-102 ◽  
Author(s):  
James E. Swain ◽  
Chandra Sripada ◽  
John D. Swain
Keyword(s):  
Social Sciences ◽  
Big Data ◽  
Network Theory ◽  
Social Network Theory ◽  
Data Sets ◽  
Brain Organization ◽  
Neuronal Ensembles ◽  
The Past ◽  
The Social ◽  
The Brain

AbstractThe past few years have shown a major rise in network analysis of “big data” sets in the social sciences, revealing non-obvious patterns of organization and dynamic principles. We speculate that the dependency dimension – individuality versus sociality – might offer important insights into the dynamics of neurons and neuronal ensembles. Connectomic neural analyses, informed by social network theory, may be helpful in understanding underlying fundamental principles of brain organization.

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