Interpretation Gone Wrong

The Social, Cultural & Ethical Dimensions of “Big Data,” March 2014

6 Pages Posted: 18 Dec 2014 Last revised: 30 Dec 2014

See all articles by Alex Rosenblat

Alex Rosenblat

Data & Society Research Institute

Tamara Kneese

University of San Francisco; Data & Society Research Institute

Danah Boyd

Data & Society Research Institute; Microsoft Research

Date Written: March 17, 2014

Abstract

Just because data can be made more accessible to broader audiences does not mean that those people are equipped to interpret what they see. Limited topical knowledge, statistical skills, and contextual awareness can prompt people to read inferences into, be afraid of, and otherwise misinterpret the data they are given. As more data is made more available, what other structures and procedures need to be in place to help people interpret what's available?

Keywords: contextual awareness, big data, data analysis, transparency, data interpretation

Suggested Citation

Rosenblat, Alex and Kneese, Tamara and Boyd, Danah, Interpretation Gone Wrong (March 17, 2014). The Social, Cultural & Ethical Dimensions of “Big Data,” March 2014. Available at SSRN: https://ssrn.com/abstract=2538608 or http://dx.doi.org/10.2139/ssrn.2538608

Alex Rosenblat

Data & Society Research Institute ( email )

36 West 20th Street
New York,, NY
United States

HOME PAGE: http://www.datasociety.net

Tamara Kneese

University of San Francisco ( email )

2130 Fulton Street
San Francisco, CA 94117
United States

Data & Society Research Institute ( email )

36 West 20th Street
11th Floor
New York,, NY 10011
United States

Danah Boyd (Contact Author)

Data & Society Research Institute ( email )

36 West 20th Street
11th Floor
New York,, NY 10011
United States

HOME PAGE: http://www.datasociety.net

Microsoft Research ( email )

One Memorial Drive, 12th Floor
Cambridge, MA 02142
United States

HOME PAGE: http://research.microsoft.com/

Register to save articles to
your library

Register

Paper statistics

Downloads
34
Abstract Views
404
PlumX Metrics