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X Demographics
Mendeley readers
| Chapter title |
Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures
|
|---|---|
| Chapter number | 3 |
| Book title |
Discrimination and Privacy in the Information Society
|
| Published by |
Springer Nature, January 2013
|
| DOI | 10.1007/978-3-642-30487-3_3 |
| Book ISBNs |
978-3-64-230486-6, 978-3-64-230487-3
|
| Authors |
Calders, Toon, Žliobaitė, Indrė, Toon Calders, Indrė Žliobaitė |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Austria | 1 | 1% |
| Unknown | 87 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 20% |
| Student > Ph. D. Student | 13 | 15% |
| Student > Bachelor | 11 | 12% |
| Researcher | 10 | 11% |
| Professor | 6 | 7% |
| Other | 9 | 10% |
| Unknown | 22 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 33% |
| Social Sciences | 16 | 18% |
| Business, Management and Accounting | 5 | 6% |
| Economics, Econometrics and Finance | 4 | 4% |
| Arts and Humanities | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 23 | 26% |