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Footprint does not equal representativeness.

SAGE Research Methods: Doing Research Online Available online

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Format:
Video
Contributor:
Hilbert, Martin R., academic.
Series:
UCCSS big data, artificial intelligence, and ethics ; 9
Language:
English
Subjects (All):
Big data.
Physical Description:
1 online resource (1 video file (00:11:53)) : sound, colour.
Place of Publication:
[Davis, California] : University of California, 2018.
Language Note:
Closed-captioned in English.
Summary:
Martin Hilbert, PhD, professor, University of California, Davis, discusses limitations of big data starting with digital footprints and representativeness, including the evolution and persistence of the digital divide and the inherent bias it maintains.
Participant:
Academic, Martin Hilbert PhD.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
1-5297-9592-3
9781529795929
OCLC:
1335037420

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