CRITICAL QUESTIONS FOR BIG DATA
@article{Boyd2012CRITICALQF, title={CRITICAL QUESTIONS FOR BIG DATA}, author={Danah Boyd and Kate Crawford}, journal={Information, Communication \& Society}, year={2012}, volume={15}, pages={662 - 679} }
The era of Big Data has begun. Computer scientists, physicists, economists, mathematicians, political scientists, bio-informaticists, sociologists, and other scholars are clamoring for access to the massive quantities of information produced by and about people, things, and their interactions. Diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by…
3,284 Citations
Three Paradoxes of Big Data
- Computer Science
- 2015
Big data is all the rage. Its proponents tout the use of sophisticated analytics to mine large data sets for insight as the solution to many of our society’s problems. These big data evangelists…
The Challenge of Big Data and Data Science
- Computer ScienceAnnual Review of Political Science
- 2019
Burgeoning data and innovative methods facilitate answering previously hard-to-tackle questions about society by offering new ways to form concepts from data, to do descriptive inference, to make causal inferences, and to generate predictions.
Debating Big Data
- Computer Science
- 2015
This Special Crosscurrents Issue aims to spark a debate on ‘Big Data’ from the disciplinary location of ‘media and communication studies’ and more specifically, the emergent field of digital media studies.
Analyzing Big Data
- Computer ScienceThe Palgrave Handbook of Methods for Media Policy Research
- 2019
Despite the limitations, difficulties and well-justified critique, social scientists, legal scholars, and researchers working in the humanities need to develop individual skills, and institutional competencies in big data methods, because data science is quickly becoming to be an indispensable part of the methodological tool-set of these disciplines.
Big Data and Journalism
- Business
- 2015
Big data is a social, cultural, and technological phenomenon—a complex amalgamation of digital data abundance, emerging analytic techniques, mythology about data-driven insights, and growing critique…
Big Data: The Beauty or the Beast
- Computer Science
- 2014
The Big Data, how it is generated, processed and the degrees of responsibility in maneuvering such precious resource are defined, and potential implications from the perspective of redefining what personal and private still means when individual data becomes a commodity are discussed.
Sociology in the Era of Big Data: The Ascent of Forensic Social Science
- Computer Science
- 2016
Strong differences in research frameworks help explain why big data may not be an egalitarian trading zone across fields, but rather—at least in the short term—a moment when engineering colonizes sociology more than vice versa.
Big Data Challenges: A Survey
- Computer Science
- 2014
The era of Big Data has begun, with the focus upon the major concerns and challenges rose by “Big Data for Development”, and some ways are suggested in which few of these challenges are suggested.
Social Science in the Era of Big Data
- Computer Science
- 2013
Why, in spite of all the data, theory still matters to build credible stories of what the data reveal is explained; and how this allows social scientists to revisit old questions at the intersection of new technologies and disciplinary approaches is shown.
What are the threats and potentials of big data for qualitative research?
- Computer Science
- 2018
The potentials of big data for qualitative research are examined, providing recommendations to bring together complementary research endeavors that map large scale social patterns using big data with qualitative questions about participants’ subjective perceptions, rich expression of feelings, and reasons for human action.
References
SHOWING 1-10 OF 80 REFERENCES
Trending: The Promises and the Challenges of Big Social Data
- Computer Science
- 2012
Since its formation in 2008, NEH Office of Digital Humanities has been systematically creating grant opportunities to help humanists work with large data sets to address how "big data" changes the research landscape for the humanities and social sciences.
IWantPrivacy : Widespread Violation of Privacy Settings in the Twitter Social Network
- Computer Science
- 2010
A large-scale collection of data from the Twitter social network is performed by means of the publicly available application programming interface (API) they provide and reveals the growing trend where users defeat Twitter’s simple privacy mechanism of “protecting one's tweets” by retweeting a protected tweet.
Stupid Data Miner Tricks
- History
- 2007
This article originated over ten years ago as a set of joke slides showing silly spurious correlations. These statistically appealing relationships between the stock market and diary products and…
Who says what to whom on twitter
- Computer ScienceWWW
- 2011
A striking concentration of attention is found on Twitter, in that roughly 50% of URLs consumed are generated by just 20K elite users, where the media produces the most information, but celebrities are the most followed.
The Computational Turn: Thinking About the Digital Humanities
- Computer Science
- 2011
It is rare to find an academic today who has had no access to digital technology as part of their research activity, but email, Google searches and bibliographic databases are become increasingly crucial, as more of the world libraries are scanned and placed online.
The Coming Crisis of Empirical Sociology
- Sociology
- 2007
This ar ticle argues that in an age of knowing capitalism, sociologists have not adequately thought about the challenges posed to their expertise by the proliferation of `social' transactional data…
Memory Practices in the Sciences
- Art
- 2005
This lively and erudite look at the relation of the authors' information infrastructures to their information, Geoffrey Bowker examines how, over the past two hundred years, information technology has converged with the nature and production of scientific knowledge.
The Development of Social Network Analysis: A Study in the Sociology of Science
- Computer Science
- 2005
There is plenty of evidence to suggest that social network analysis is a flourishing enterprise, but there has been no comprehensive account of the field’s origins, its development, and the reasons for its apparent success, according to Linton Freeman.
Tarde's idea of quantification
- Political Science
- 2010
Numbers, numbers, numbers. Sociology has been obsessed by the goal of becoming a quantitative science. Yet it has never been able to reach this goal because of what it has defined as being…
Ethical Imperialism: Institutional Review Boards and the Social Sciences, 1965–2009
- Political Science
- 2010
University researchers in the United States seeking to observe, survey, or interview people are required first to complete ethical training courses and to submit their proposals to an institutional…