The limits of transparency: Data brokers and commodification

By Matthew Crain. 2018

190 citations recorded by the source corpus.

Subfields: Clinical Psychology, Sociology and Political Science, Privacy & Security, Social Sciences & Humanities

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

1. Stefan Larsson
2. Fredrik Heintz
3. Mike Ananny
4. Jathan Sadowski
5. Kate Crawford

In Sociology and Political Science

1. Yejin Choi
2. Mariarosaria Taddeo
3. Josh Cowls
4. Jessica Morley
5. Rowan Zellers
6. Ali Farhadi
7. Stefan Larsson
8. Fredrik Heintz

In Privacy & Security

1. Stefan Larsson
2. Fredrik Heintz
3. Jessica Morley
4. Luciano Floridi
5. Mike Ananny
6. Jathan Sadowski
7. Kate Crawford

In Social Sciences & Humanities

1. Ali Farhadi
2. Stefan Larsson
3. Huw Roberts
4. Nikita Aggarwal
5. Yejin Choi
6. Fredrik Heintz
7. Jessica Morley
8. Luciano Floridi

Citations in the corpus

• MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound (2022, background): “Today, ‘data brokers’ post private details (like phone numbers) to the web for profit [24]; concerningly, a study on language models suggests that models are vulnerable at memorizing this private information [18].”
• Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2018, background): “Sometimes, the details of a system will be not only protected by corporate secrecy or indecipherable to those without technical skills, but inscrutable even to its creators because of the scale and speed of its design (Burrell, 2016; Crain, 2018).”
• The ethics of algorithms: key problems and solutions (2020, background): “Wider sociotechnical structures make it difficult to trace back responsibility for actions performed by distributed, hybrid systems of human and artificial agents (Floridi 2012; Crain 2018).”
• The Internet of Landlords: Digital Platforms and New Mechanisms of Rentier Capitalism (2020, background): “For example, relevant work has investigated the operations and implications of speci-fi c corporate sectors such as the shadowy, multi-billion-dollar data broker industry (Crain 2018; Roderick 2014).”
• Transparency in artificial intelligence (2020, background): “unquestionable effect on transparency with regards to the obscure origins of the underlying data and how personal data travels (Christl, 2017; Crain, 2018; Larsson, 2018; Pasquale, 2015); This relates to the debate around the search for a “right to an explanation” in the General Data Protection Regu”