scholarly journals The limits of computation: A philosophical critique of contemporary Big Data research

2018 ◽  
Vol 5 (2) ◽  
pp. 205395171881184 ◽  
Author(s):  
Petter Törnberg ◽  
Anton Törnberg
Keyword(s):  
Big Data ◽  
Social Life ◽  
Quantitative Methods ◽  
Qualitative Change ◽  
Philosophical Discussion ◽  
Philosophical Critique ◽  
Social Phenomena ◽  
Social Patterns ◽  
Digital Era

This paper reviews the contemporary discussion on the epistemological and ontological effects of Big Data within social science, observing an increased focus on relationality and complexity, and a tendency to naturalize social phenomena. The epistemic limits of this emerging computational paradigm are outlined through a comparison with the discussions in the early days of digitalization, when digital technology was primarily seen through the lens of dematerialization, and as part of the larger processes of “postmodernity”. Since then, the online landscape has become increasingly centralized, and the “liquidity” of dematerialized technology has come to empower online platforms in shaping the conditions for human behavior. This contrast between the contemporary epistemological currents and the previous philosophical discussions brings to the fore contradictions within the study of digital social life: While qualitative change has become increasingly dominant, the focus has gone towards quantitative methods; while the platforms have become empowered to shape social behavior, the focus has gone from social context to naturalizing social patterns; while meaning is increasingly contested and fragmented, the role of hermeneutics has diminished; while platforms have become power hubs pursuing their interests through sophisticated data manipulation, the data they provide is increasingly trusted to hold the keys to understanding social life. These contradictions, we argue, are partially the result of a lack of philosophical discussion on the nature of social reality in the digital era; only from a firm metatheoretical perspective can we avoid forgetting the reality of the system under study as we are affected by the powerful social life of Big Data.

scholarly journals Affective economy of national-populist images: Investigating national and transnational online networks through visual big data

2019 ◽  
Vol 22 (5) ◽  
pp. 770-792
Author(s):  
Jenni Hokka ◽  
Matti Nelimarkka
Keyword(s):  
Social Media ◽  
Big Data ◽  
Quantitative Methods ◽  
Social Science Research ◽  
Historical Analysis ◽  
Science Research ◽  
Online Networks ◽  
Qualitative And Quantitative Methods ◽  
Computational Data

In our article, we investigate the affective economy of national-populist image circulation on Facebook. This is highly relevant, since social media has been an essential area for the spread of national-populist ideology. In our research, we analyse image circulation as affective practice, combining qualitative and quantitative methods. We use computational data analysis methods to examine visual big data: image fingerprints and reverse image search engines to track down the routes of thousands of circulated images as well as make discourse-historical analysis on the images that have gained most attention among supporters. Our research demonstrates that these existing tools allow social science research to make theory-solid approaches to understand the role of image circulation in creating and sustaining national and transnational networks on social media, and show how national-populist thinking is spread through images that catalyse and mobilise affects – fear, anger and resentment – thus creating an effective affective economy.

scholarly journals The role of transformational leadership, servant leadership, digital transformation on organizational performance and work innovation capabilities in digital era

2021 ◽  
Vol 7 (2) ◽  
pp. 225
Author(s):  
Bestadrian Prawiro Theng ◽  
Elyzabeth Wijaya ◽  
Juliana Juliana ◽  
Eddy Eddy ◽  
Ali Syah Putra
Keyword(s):  
Transformational Leadership ◽  
Data Analysis ◽  
Servant Leadership ◽  
Organizational Performance ◽  
Structural Equation ◽  
Quantitative Methods ◽  
Digital Transformation ◽  
Equation Modeling ◽  
Digital Era

The purpose of this study is to analyze the relationship between Transformational Leadership, Servant Leadership, Digital Transformation on Organizational Performance and Work Innovation Capabilities. In this study using quantitative methods and data analysis techniques Structural Equation Modeling (SEM) using SmartPLS 3.0 software. This research was conducted in the population in this study were all SMEs in Tangerang City as many as 41,155 SMEs and based on the method of determining the number of samples according to Morgan, the sample units were 380 SMEs. Based on the results of data analysis transformational leadership has a significant effect on Organizational Performance, transformational leadership has no significant effect on Work Innovation Capabilities, servant leadership has a significant effect on Organizational Performance, servant leadership has no significant effect on work innovation capabilities, digital transformation has no significant effect on organizational performance, digital Transformation has no significant effect on Work Innovation Capabilities, organizational performance has no significant effect on work innovation capabilities, transformational Leadership has no significant effect on Organizational Performance through Work Innovation Capabilities, Servant Leadership has no significant effect on Organizational Performance through Work Innovation Capabilities, digital transformation has no significant effect significant to the Organizational Performance through Work Innovation Capabilities.

ERP Integrated Instruments – Opportunities and Challenges for Audit

2021 ◽  
Vol 19 (163) ◽  
pp. 574-586
Author(s):  
Casiana Maria DARIE ◽  
Keyword(s):  
Big Data ◽  
Large Volume ◽  
Business Intelligence ◽  
External Environment ◽  
Financial Accounting ◽  
Computer Assisted ◽  
Questionnaire Data ◽  
Digital Era ◽  
It Systems

The digital era affects all the fundamental areas known so far. In meeting the high levels of competition and industry pressures, the organizations used IT systems to help them achieve market advantages by saving resources, developing domestically and adapting to the challenges posed by the external environment. This paper includes in the first part a description of the role of systems such as ERP, Business Intelligence, "Analytics", "Big Data" and Computer Assisted Audit Techniques – CAAT's in the activity of auditors but also in collecting and processing a large volume of data by those in charge with the financial accounting field. In the second part, with the help of the questionnaire, data on the use of these systems by Romanian auditors were collected and analysed.

Politocratic communitarianism, immanentist sociology and sphere sovereignty

2018 ◽  
Vol 83 (1) ◽  
Author(s):  
Andries Raath
Keyword(s):  
Social Theory ◽  
Social Life ◽  
Social Philosophy ◽  
The State ◽  
Dialectical Tensions ◽  
Ancient Greek ◽  
Social Phenomena ◽  
Role Of The State ◽  
Dialectical Tension

Politocratic communitarianism supports the historic revival of ancient Greek notions of social life in opposition to the nominalist trends in modernistic philosophy of society. The need for a penetrating normative philosophy of society from an integral non-dualistic angle to social life is manifest from Danie Goosen's and Koos Malan's pursuit of the neo-Aristotelian philosophical revival of the Greek polis: their formalistic approach to sociology, the dialectical tension between "normativity" and "factuality", and the juxtaposing of the "general" and the "specific" in their approach to social phenomena. In this article the shortcomings of politocratic communitarianism are traced to its immanentist approach to social theory with all the ensuing dialectical tensions emanating from its social philosophy and its views on the role of the state in society.

scholarly journals Digital platforms and Big Data in art education

2021 ◽  
Vol 5 (S3) ◽  
pp. 197-207
Author(s):  
Kseniia Prykhod’ko ◽  
Olena Khil ◽  
Olena Pobirchenko ◽  
Oksana Umrykhina ◽  
Vira Kalabska
Keyword(s):  
Big Data ◽  
Art Education ◽  
Quantitative Methods ◽  
Educational Process ◽  
Digital Platforms ◽  
Qualitative And Quantitative Methods ◽  
Educational Role ◽  
Data Collection And Analysis

The Big Data and digital platforms in art education play an important role, especially in the field of optimizing educational intelligence, determining the results of research and learning activities, helping to optimize and improve management systems, contributing to the quality of education, image positions. This is what determined the relevance of the problems investigated in the article. The paper presents a description and analysis of the benefits of implementation and features of the use of digital platforms and Big Data in the sector of art education. The article aims to establish the components and content components of Big Data and the educational role of digital platforms used in art education, as well as identifying the attitudes of participants in the educational process on the active use of Big Data and digital platforms. The methods in the study are based on a comprehensive approach, used descriptive methods, qualitative and quantitative methods of analysis. To obtain the data the method of questioning was used, the study of literature, data collection, and analysis, formation of conclusions. 

scholarly journals The future of film-making: Data-driven movie-making techniques

2020 ◽  
Vol 10 (2) ◽  
pp. 167-174
Author(s):  
Nadide Gizem Akgülgil Mutlu
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Data Driven ◽  
Art World ◽  
Human Beings ◽  
Digital Era ◽  
Production And Distribution ◽  
Pros And Cons ◽  
Film Making

Since the term ‘big data’ came to the scene, it has left almost no industry unaffected. Even the art world has taken advantage of the benefits of big data. One of the latest art forms, cinema, eventually started using analytics to predict their audience and their tastes through data mining. In addition to online platforms like Netflix, Amazon Prime and many more, which act on a different basis, the industry itself evolved to a new phase that uses AI in pre-production, production, post-production and distribution phases. This paper researches software, such as Cinelytic, ScriptBook and LargoAI, and their working strategies to understand the role of directors and producers in the age of the digital era in film-making. The research aims to find answers to the capabilities of data-driven movie-making techniques and, accordingly, it makes a number of predictions about the role of human beings in the production of an artwork and analyses the role of the software. The research also investigates the pros and cons of using big data in the film-making industry.   Keywords: Artificial intelligence, cinema, data mining, film-making.

Cyberbullying in a boundary blurred working life

2019 ◽  
Vol 15 (2) ◽  
pp. 89-107 ◽  
Author(s):  
Rebecka Cowen Forssell
Keyword(s):  
Social Network ◽  
Social Life ◽  
Quantitative Methods ◽  
Social Network Sites ◽  
Working Life ◽  
Content Type ◽  
Face To Face ◽  
Life Context ◽  
Depth Interviews

PurposeThe purpose of this paper is to explore what characterizes cyberbullying when it is performed in digital space and in an increasingly boundary blurred working life context.Design/methodology/approachCyberbullying is explored through the lens of Erving Goffman’s theories on everyday life interaction and social media scholars understanding of social life on the internet today. The empirical material for the study is grounded in eight in-depth interviews with individuals who have been subjected to cyberbullying behavior in their professional life. The interview data were analyzed by means of thematic analysis.FindingsThree key themes were identified: spatial interconnectedness, colliding identities and the role of the audience. The empirical data indicate that in order to understand cyberbullying in working life, it is necessary to consider the specific context that emerges with social network sites and blogs. Moreover, this study shows how social network sites tend to blur boundaries between the private and the professional for the targeted individual.Originality/valueCyberbullying in working life is a relatively under-researched area. Most existing research on cyberbullying follows the tradition of face-to-face bullying by addressing the phenomenon with quantitative methods. Given the limited potential of this approach to uncover new and unique features, this study makes an important contribution by exploring cyberbullying with a qualitative approach that provides in-depth understanding of the new situations that emerge when bullying is performed online.

scholarly journals Readiness to Face Society 5.0 Era, What Interpersonal Skill Does an Accounting Student Have ?: An Evidence from Indonesia

2021 ◽  
Vol 1 ◽  
Author(s):  
Mohammad Ghofirin ◽  
Niken Savitri Primasari
Keyword(s):  
Big Data ◽  
Digital Technology ◽  
World Economy ◽  
Interpersonal Skills ◽  
Discussion Groups ◽  
Accounting Students ◽  
Digital Era ◽  
The World ◽  
Accounting Student

The world economy moves from the industrial era 4.0 to the era of society 5.0 so it is certain this has an effect on the shift in the role of accountants in their work. In this 4.0 era, the existence of interpersonal skills is increasingly needed along with the demands for change due to the massive digital technology in the work of accountants. This paper explains the situation of changing the industrial era 4.0 to society 5.0, the interpersonal skills of accounting students in their relationship to readiness to face era 5.0, as well as analyzing the best ways to develop skills in this digital era. The interpersonal skills presented are the results of research on accounting students undergoing digital-based learning. The resulting discussion shows that the community is moving towards an era of society 5.0. Digitalization and shift in the role of the accounting profession in era 4. 0 this time will be directed to develop big data to solve various problems in the era of society 5.0. Interpersonal skills are increasingly important, especially the leadership dimension. Therefore, the development of digital- based accounting student learning such as case studies, Class Polling and Surveys, discussion groups, and others is considered to be adaptable to prepare them to become accountants in the eraofsociety5.0.

Use of Big Data and Information and Communications Technology in Disasters: An Integrative Review

2018 ◽  
Vol 13 (02) ◽  
pp. 353-367 ◽  
Author(s):  
Jeffrey D. Freeman ◽  
Brigette Blacker ◽  
Grace Hatt ◽  
Sophia Tan ◽  
Jeremy Ratcliff ◽  
...  
Keyword(s):  
Big Data ◽  
Disaster Response ◽  
Quantitative Methods ◽  
Information And Communications Technology ◽  
Inclusion Criteria ◽  
Middle Income ◽  
Implementation Challenges ◽  
Middle Income Countries ◽  
Information And Communication

ABSTRACTNovel approaches to improving disaster response have begun to include the use of big data and information and communication technology (ICT). However, there remains a dearth of literature on the use of these technologies in disasters. We have conducted an integrative literature review on the role of ICT and big data in disasters. Included in the review were 113 studies that met our predetermined inclusion criteria. Most studies used qualitative methods (39.8%, n=45) over mixed methods (31%, n=35) or quantitative methods (29.2%, n=33). Nearly 80% (n=88) covered only the response phase of disasters and only 15% (n=17) of the studies addressed disasters in low- and middle-income countries. The 4 most frequently mentioned tools were geographic information systems, social media, patient information, and disaster modeling. We suggest testing ICT and big data tools more widely, especially outside of high-income countries, as well as in nonresponse phases of disasters (eg, disaster recovery), to increase an understanding of the utility of ICT and big data in disasters. Future studies should also include descriptions of the intended users of the tools, as well as implementation challenges, to assist other disaster response professionals in adapting or creating similar tools. (Disaster Med Public Health Preparedness. 2019;13:353–367)

Integrating Population Data: Challenges and Prospects

2021 ◽  
Vol 28 (3) ◽  
pp. 5-14
Author(s):  
М. A. Klupt ◽  
О. N. Nikiforov
Keyword(s):  
Big Data ◽  
Social Life ◽  
Necessary Conditions ◽  
Population Data ◽  
Social Structures ◽  
The Individual ◽  
The City ◽  
Different Sources ◽  
Clear Description

The article deals with methodological, organizational, and technological issues of integrating population data obtained from various administrative sources and corporative big data. The article proves the particular relevance of the interaction between official statistics and other governmental and corporative information systems amidst the digitization of the economy and social life and the incipient establishment of the federal population data register. The authors propose a system of interrelated aggregates, characterizing various categories of population, which differ according to criteria of citizenship, permanent residence, duration, and purposes of stay on the territory of Russia. Challenges associated with estimating these aggregates are analyzed. The article considers possibilities and legal limitations in the work of statisticians on systematizing information, rationalizing the selection and subsequent joint use of information, characterizing an individual (i.e. matching) for addressing various tasks faced by social and demographic statistics. Special attention is paid to the various options for resolving the issue of a personal code (one or more) that allow linking information on the individual from different databases. The need to ensure the transparency of the methodology used by the various participants of informational interaction is emphasized, which in turn shall pave the way for the harmonization and, where possible, the unification of such methodology. The paper demonstrates the crucial role of preliminary qualitative analysis of data from different sources and explains mechanisms for further interaction of statistical authorities with organizations, interested in this information, and social structures. Using mobile operators’ and providers’ data on the population of the city, necessary conditions for their adequate interpretation – transparent methodology, clear description of population aggregates to estimate, and assumptions used for such estimations – are characterized.

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