| Edition |
1st Picador ed. |
| Description |
271 p. : ill. ; 21 cm. |
| Bibliography |
Includes bibliographical references (p. 233-259) and index. |
| Contents |
Introduction: red flags -- From poorhouse to database -- Automating eligibility in the heartland -- High-tech homelessness in the city of angels -- The Allegheny algorithm -- The digital poorhouse -- Conclusion: dismantling the digital poorhouse. |
| Indexed In: |
Library Journal, February 2018 |
|
Booklist starred, December 2017 |
|
New York Times, May 2018 |
|
Kirkus Review, November 2017 |
| Summary |
"Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America... The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices..."--Amazon.com. |
| Audience |
Adult Follett School Solutions. |
| Subject |
Poor -- United States -- Services for -- Data processing.
|
|
Poverty -- United States.
|
| ISBN |
9781250215789 |
|
