Causal Identification in the Platform Feature–Harm Relationship: Cascade Dose-Response, Interrupted Time-Series, and Prospective Protocols
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| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2026
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| _version_ | 1866901784322113536 |
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| author | Eckert, Anthony |
| author_facet | Eckert, Anthony |
| contents | Companion to Papers 166-167. Formalizes causal identification for the platform feature–harm relationship using cascade dose-response modeling (R²=0.889), interrupted time-series analysis, and Bradford Hill criteria (8/9 satisfied). Specifies three prospective protocols for epidemiological closure. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19455974 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Causal Identification in the Platform Feature–Harm Relationship: Cascade Dose-Response, Interrupted Time-Series, and Prospective Protocols Eckert, Anthony social media causal identification mental health Bradford Hill dose-response interrupted time-series platform design adolescent wellbeing epidemiology Companion to Papers 166-167. Formalizes causal identification for the platform feature–harm relationship using cascade dose-response modeling (R²=0.889), interrupted time-series analysis, and Bradford Hill criteria (8/9 satisfied). Specifies three prospective protocols for epidemiological closure. |
| title | Causal Identification in the Platform Feature–Harm Relationship: Cascade Dose-Response, Interrupted Time-Series, and Prospective Protocols |
| topic | social media causal identification mental health Bradford Hill dose-response interrupted time-series platform design adolescent wellbeing epidemiology |
| url | https://doi.org/10.5281/zenodo.19455974 |