“Digital Natives”: How Medical and Indigenous Histories Matter for Big Data

By Joanna Radin. 2017

58 citations recorded by the source corpus.

Subfields: Genetics, Political Science and International Relations, Sociology and Political Science, 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 Genetics

1. Emily M. Bender
2. Amandalynne Paullada
3. Emily L. Denton
4. A. Hanna
5. Inioluwa Deborah Raji

In Political Science and International Relations

1. Emily M. Bender
2. Amandalynne Paullada
3. Emily L. Denton
4. A. Hanna
5. Inioluwa Deborah Raji

In Sociology and Political Science

1. Emily L. Denton
2. A. Hanna
3. Inioluwa Deborah Raji
4. Emily M. Bender
5. Amandalynne Paullada
6. Bertie Vidgen
7. Leon Derczynski
8. Dirk Hovy

In Social Sciences & Humanities

1. Emily M. Bender
2. Amandalynne Paullada
3. Emily L. Denton
4. A. Hanna
5. Inioluwa Deborah Raji

Citations in the corpus

• AI and the Everything in the Whole Wide World Benchmark (2021, methodology): “In 1995, Lorenza Saitta criticized benchmark chasing as “allow[ing] researchers to publish dull papers that proposed small variations of existing supervised learning algorithms and reported their small-but-significant incremental performance improvements in comparison studies” [Radin, 2017, p. 61].”