CRITICAL QUESTIONS FOR BIG DATA

By D. boyd, Kate Crawford. 2012

3,684 citations recorded by the source corpus.

Subfields: Information Systems and Management, Statistical and Nonlinear Physics, AI Ethics, Fairness & Society, Social Sciences & Humanities

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Citations in the corpus

Data and its (dis)contents: A survey of dataset development and use in machine learning research (2020, background): “The enormous scale of such datasets has been mythologized as beneficial to the perceived generality of trained systems,(7) but they continue to be impacted by the limitations and biases that impact all datasets.(8) In particular, prevailing data practices tend to abstract away the human labor,”
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “It is diﬃcult to properly account for what was or not in the data when researchers lack proper context (boyd and Crawford, 2012)—e.g., for social media use in crises, it may be hard for a geographically distant researcher to fully gauge the cultural context and the event speciﬁcs (Crawford and…”
Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture (2019, background): “Boyd and Crawford (2012) argue that legislation has already been proposed to curb the collection and retention of data, usually over concerns about privacy (e.g., the US Do Not Track Online Act of 2011).”
Surveillance, Snowden, and Big Data: Capacities, consequences, critique (2014, background): “Big Data, first, may be best thought of as ‘‘the capacity to search, aggregate and cross-reference large data sets’’ (Boyd and Crawford, 2012: 663).”
Biases in Large Language Models: Origins, Inventory, and Discussion (2023, background): “However, this approach brings its own problems, as the resulting imbalance between łcompute richž and łcompute poorž researchers echoes earlier worries about digital divides in big data research [42], not to mention the challenge of setting up fair and transparent evaluation benchmarks [117].”
The Rise of Twitter in the Political Campaign: Searching for Intermedia Agenda-Setting Effects in the Presidential Primary (2015, neutral): “We also cannot generalize our findings to all politicians or all elections (boyd & Crawford, 2012; Parks, 2014).”
Big Data in food and agriculture (2016, background): “Big Data is an important ﬁeld of study, for ‘the era of big data has begun’ (boyd and Crawford, 2012: 662).”