Big Data: A Revolution That Will Transform How We Live, Work, and Think
By K. Cukier. 2015
3,118 citations recorded by the source corpus.
Subfields: Social Sciences & Humanities
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Social Sciences & Humanities
- Angèle Christin
- Natasha D. Schüll
- Gernot Rieder
- Josep Blat
- Bin Jiang
- John Danaher
- S. Newell
- Mark Graham
Citations in the corpus
- Critical data studies: An introduction (2016, neutral): “Discourses and practices surrounding the Big Data revolution (Mayer-Schönberger and Cukier, 2013) feature an emerging variety of new and inventive data science techniques that seek to further scientific inquiry by collecting large amounts of data, directing researchers to novel observations and find”
- "Wrong side of the tracks": Big Data and Protected Categories (2014, neutral): “Over and above advances reported in the peer-reviewed liter atur , recent popular accounts provide a sense of the growing use of these tools beyond the ac ademy [19, 20], and their use seems likely to accelerate in both scale (number of domains) d scope (range of problems within a domain).”
- The ethics of algorithms: Mapping the debate (2016, neutral): “Despite this, correlations based on a sufficient volume of data are increasingly seen as suf-ficiently credible to direct action without first establishing causality (Hildebrandt, 2011; Hildebrandt and Koops, 2010; Mayer-Scho¨nberger and Cukier, 2013; Zarsky, 2016).”
- 'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions (2018, neutral): “[43, 38, 43, 55, 72]), we settled on the following contexts:”
- Data for life: Wearable technology and the design of self-care (2016, positive): “…Electronics Show and its Digital Health Summit: 16 Data collected by individuals for their own health or fitness projects can be recombined with that of others to draw population-wide correlations and inferences (Cukier and Mayer-Schönberger, 2013; Mayer-Schönberger and Cukier, 2013, Chapter 6).”
- Data integration in the era of omics: current and future challenges (2014, neutral): “But more interestingly, big data have provided new ways to exploit data in many disciplines, such as economics (see Data Economy ), business (as in Amazon or Google, [75]), high-energy physics [76] and even biology [77].”
- Algorithms in practice: Comparing web journalism and criminal justice (2017, neutral): “Google and Facebook may be the leaders of the ‘‘Big Data revolution’’ (Cukier and Mayer-Schönberger, 2013), but digital technologies of quantification are also rapidly multiplying in many fields that are not directly part of the web economy.”
- Big Data: Survey, Technologies, Opportunities, and Challenges (2014, neutral): “These benefits have been quantified by privacy experts [97].”
- Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS (2016, neutral): “If one looks at discussions regarding Big Data, its value is often presented in terms of the abundance of correlations and the consequent possibility of datadriven research, without strong theoretical considerations and causal knowledge (Mayer-Schönberger and Cukier, 2013; Anderson, 2008).”
- Datatrust: Or, the political quest for numerical evidence and the epistemologies of Big Data (2016, positive): “Legislators’ current emphasis on evidence and results correlates with a recent techno-scientific devel-opment—the advent of Big Data (Mayer-Scho¨nberger and Cukier, 2013).”
- An Analysis of Visitors' Behavior in the Louvre Museum: A Study Using Bluetooth Data (2014, positive): “…the present work we explore the global patterns of visitors’ behaviors by increasing the quantity of data, because “when we increase the scale of the data that we work with, we can do new things that weren’t possible when we just worked with smaller amounts” (Mayer-Schönberger & Cukier, 2013, p10).”
- The Mediating Role of Appearance Comparisons in the Relationship Between Media Usage and Self-Objectification in Young Women (2015, neutral): “Similarly, Facebook contains a large amount of images (Facebook, 2013), with over 10 million new photos uploaded to Facebook every hour (Mayer-Schönberger & Cukier, 2013) that often receive appearance-related commentary from others, and young women have reported spending around 40% of their time…”