Algorithms and Big Data
Considerations on Algorithmic Governance and Its Consequences for Antitrust Analysis
Bibliographic Data
| ID | 5928203 |
|---|---|
| Authors | Marcella Mattiuzo (0000-0001-5641-1130, Universidade de São Paulo, corresponding author) |
| Year | 2019 |
| Volume | 23 |
| Issue | 2 |
| Publication date | 2019-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Revista de Economia Contemporânea (JOURNAL) |
| Journal identifiers | ISSN: 1415-9848 • E-ISSN: 1980-5527 |
| Publisher | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/198055272328 |
| OpenAlex | W2969716345 |
| SciELO | S1415-98482019000200206 |
| Language | EN |
| References cited | 3 |
This paper aims at presenting the recent rise in the use of algorithmic systems, the move by policy makers towards fighting potential harmful outcomes that may arise from the use of such tools, and the consequences of such policy proposals for antitrust. It is organized into five sections: the first introduces the topic; the second delves deeper into the expansion of algorithmic use in the data-drive economy; the third part presents the policy solutions usually put forward by the literature and by policy makers to fight harm; the fourth discusses the implications of such proposals for antitrust; finally, the fifth section concludes the paper
Advertising · Big data · Business · Corporate governance · Data mining · Economics · Harm · Industrial organization · Law and economics · Management · Management science · Political science · Public economics · Blockchain Technology Applications and Security · Computer Science · Ethics and Social Impacts of AI · Law
| Highly cited | No |
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