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Automated News Recommendation in front of Adversarial Examples & the Technical Limits of Transparency in Algorithmic Accountability
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Descampe, Antonin
[UCL]
Massart, Clément
[UCL]
Poelman, Simon
Standaert, François-Xavier
[UCL]
Standaert, Olivier
[UCL]
Massart, Clément
[UCL]
Poelman, Simon
Standaert, François-Xavier
[UCL]
Standaert, Olivier
[UCL]
| Document type | Article de périodique (Journal article) – Article de recherche |
|---|---|
| Access type | Accès libre |
| Publication date | 2021 |
| Language | Anglais |
| Journal information | "AI & Society. Journal of Knowledge, Culture and Communication" - (2020) |
| Peer reviewed | yes |
| Publisher | Springer |
| issn | 0951-5666 |
| e-issn | 1435-5655 |
| Publication status | Publié |
| Affiliations |
UCL
- SSH/ILC/PCOM - Pôle de recherche en communication UCL - SST/ICTM/ELEN - Pôle en ingénierie électrique |
| Keywords | computational journalism ; algorithms ; news recommendation systems ; accountability ; transparency ; adversarial machine learning ; fair machine learning |
| Links |
| Bibliographic reference | Descampe, Antonin ; Massart, Clément ; Poelman, Simon ; Standaert, François-Xavier ; Standaert, Olivier. Automated News Recommendation in front of Adversarial Examples & the Technical Limits of Transparency in Algorithmic Accountability. In: AI & Society. Journal of Knowledge, Culture and Communication, (2020) |
|---|---|
| Permanent URL | http://hdl.handle.net/2078.1/239730 |