Six Provocations for Big Data

boyd, danah; Crawford, Kate

doi:10.2139/ssrn.1926431

Cited by 153 publications

(74 citation statements)

References 23 publications

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“…Computer scientists, physicists, economists, mathematicians, political scientists, bioinformaticists, sociologists, and many others are clamoring for access to massive quantities of information produced by and about people, things and their interactions [122]. The rise of social media along with the progress in computational tools that can process massive amounts of data makes possibly a fundamentally new approach for the study of human beings and society [19].…”

Section: Social Sciencesmentioning

confidence: 99%

A general perspective of Big Data: applications, tools, challenges and trends

et al. 2015

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Big Data has become a very popular term. It refers to the enormous amount of structured, semi-structured and unstructured data that are exponentially generated by high-performance applications in many domains: biochemistry, genetics, molecular biology, physics, astronomy, business, to mention a few. Since the literature of Big Data has increased significantly in recent years, it becomes necessary to develop an overview of the state-of-the-art in Big Data. This paper aims to provide a comprehensive review of Big Data literature of the last 4 years, to identify the main challenges, areas of application, tools and emergent trends of Big Data. To meet this objective, we have analyzed and classified 457 papers concerning Big Data. This review gives relevant B Giner Alor-Hernández

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Section: Social Sciencesmentioning

confidence: 99%

A general perspective of Big Data: applications, tools, challenges and trends

et al. 2015

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“…As a consequence, the replication of analyses is almost impossible, since the supporting materials and the underlying technology are not publicly available. Boyd and Crawford [29] go further: limited access to Big Data creates new digital divides, the Big Data rich and the Big Data poor. One needs the means to collect them, and the expertise to analyze them.…”

Section: Known Problems In Text Analyticsmentioning

confidence: 99%

Text Analytics: the convergence of Big Data and Artificial Intelligence

Moreno¹,

Redondo²

2016

IJIMAI

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“…However, massiveness of Big Data is not tightly linked to a certain number of Terabytes. Boyd and Crawford (2011) note that "Big Data is not notable because of its size, but because of its relationality to other data. " Big Data is "fundamentally networked" and challenges in processing it are linked with its interconnected nature.…”

Section: Structuring Tensions Questionsmentioning

confidence: 99%

A Map for Big Data Research in Digital Humanities

Kaplan

2015

Front. Digit. Humanit.

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This article is an attempt to represent Big Data research in digital humanities as a structured research field. A division in three concentric areas of study is presented. Challenges in the first circlefocusing on the processing and interpretations of large cultural datasets -can be organized linearly following the data processing pipeline. Challenges in the second circle -concerning digital culture at large -can be structured around the different relations linking massive datasets, large communities, collective discourses, global actors, and the software medium. Challenges in the third circledealing with the experience of big data -can be described within a continuous space of possible interfaces organized around three poles: immersion, abstraction, and language. By identifying research challenges in all these domains, the article illustrates how this initial cartography could be helpful to organize the exploration of the various dimensions of Big Data Digital Humanities research.

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Six Provocations for Big Data

Cited by 153 publications

References 23 publications

A general perspective of Big Data: applications, tools, challenges and trends

A general perspective of Big Data: applications, tools, challenges and trends

Text Analytics: the convergence of Big Data and Artificial Intelligence

A Map for Big Data Research in Digital Humanities

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