Track Records
A Cautionary Tale
Dados Bibliográficos
| ID | 8396643 |
|---|---|
| Autores | Alice C W Huang (0000-0002-1719-1945, autor correspondente) |
| Ano | 2023 |
| Data de publicação | 2023-11-06 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | The British Journal for the Philosophy of Science (JOURNAL) |
| Identificadores do periódico | ISSN: 0007-0882 • E-ISSN: 1464-3537 |
| Editora | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1086/728459 |
| OpenAlex | W4388407629 |
| Idioma | EN |
| Citações recebidas | 2 |
| Referências citadas | 17 |
In the literature on expert trust, it is often assumed that track records are the gold standard for evaluating expertise, and the difficulty of expert identification arises from either the lack of access to track records, or the inability to assess them. I show, using a computational model, that even in an idealized environment where agents have a God’s eye view on track records, they may fail to identify experts. Under plausible conditions, selecting testimony based on track records ends up reducing overall accuracy, and preventing the community from identifying the real experts
Download · Epistemology · Library science · Philosophy of science · World Wide Web · Computer Science · Data Visualization and Analytics · Opinion Dynamics and Social Influence · Philosophy · Topic Modeling
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| Obras citantes distintas | 2 |
|---|---|
| Citações por ano | 2 |
| Intervalo de citações | 2025 - 2026 (2) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 2 |