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| Chapter title |
AlgorithmWatch: What Role Can a Watchdog Organization Play in Ensuring Algorithmic Accountability?
|
|---|---|
| Chapter number | 9 |
| Book title |
Transparent Data Mining for Big and Small Data
|
| Published by |
Springer International Publishing, January 2017
|
| DOI | 10.1007/978-3-319-54024-5_9 |
| Book ISBNs |
978-3-31-954023-8, 978-3-31-954024-5
|
| Authors |
Matthias Spielkamp |
| Editors |
Tania Cerquitelli, Daniele Quercia, Frank Pasquale |
Twitter Demographics
The data shown below were collected from the profiles of 32 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 6 | 19% |
| Spain | 4 | 13% |
| Chile | 4 | 13% |
| Colombia | 2 | 6% |
| Brazil | 2 | 6% |
| Uruguay | 2 | 6% |
| United States | 1 | 3% |
| Turkey | 1 | 3% |
| France | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 88% |
| Scientists | 3 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |