Dane Pflueger
Biographic Data
| ID | 2372471 |
|---|---|
| NAME | Dane Pflueger |
| GIVEN NAMES | Dane |
| FAMILY NAME | Pflueger |
| SIGNATURE | PFLUEGER D |
| AFFILIATIONS | HEC Paris |
| ORCID | 0000-0002-3245-837X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Accounting for large language masses
We present the time capsule of an e-mail conversation between the editors and co-editors of this journal that we have painstakingly reconstructed from the data-dust bowl of the late 2020s. Contributions to this conversation illustrate the struggles among journal editors who were dealing with the high number of journal submissions accompanying the arrival of generative AI around that time. They also highlight some of the human eccentricities in fi…
A typology of evaluative health platforms
Interactions in the healthcare system today involve an important new set of actors: evaluative health platforms (EHPs). These platforms are not neutral intermediaries, but active moderators of how patients express opinions, choose providers, and consume health-related information. This paper adds to our understanding of the varied and evolving commercial interests of EHPs and the implications these have for patient voice. We analyze 71 platforms …
No prominent works on this page.
A typology of evaluative health platforms
Interactions in the healthcare system today involve an important new set of actors: evaluative health platforms (EHPs). These platforms are not neutral intermediaries, but active moderators of how patients express opinions, choose providers, and consume health-related information. This paper adds to our understanding of the varied and evolving commercial interests of EHPs and the implications these have for patient voice. We analyze 71 platforms …
Accounting for large language masses
We present the time capsule of an e-mail conversation between the editors and co-editors of this journal that we have painstakingly reconstructed from the data-dust bowl of the late 2020s. Contributions to this conversation illustrate the struggles among journal editors who were dealing with the high number of journal submissions accompanying the arrival of generative AI around that time. They also highlight some of the human eccentricities in fi…
Academic Writing and Publishing (1 work) · Business (1 work) · Competition (biology (1 work) · Computer Science (1 work) · critical scholarship (1 work) · editorial strategy (1 work) · Engineering (1 work) · future of the humanities (1 work) · generative AI (1 work) · Health care (1 work)