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Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use

Research article (Journal of Biomedical Informatics, 2015) · cited 83× · AI/ML
academia openalex:W2136400720
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Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use

Summary

Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use is a scholarly article[1].

Key Facts

  • Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use. Retrieved May 24, 2026, from https://4ort.xyz/entity/crowdsourcing-twitter-annotations-to-identify-first-hand-experiences-of-prescription-drug-use
MLA “Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crowdsourcing-twitter-annotations-to-identify-first-hand-experiences-of-prescription-drug-use.
BibTeX @misc{4ortxyz_crowdsourcing-twitter-annotations-to-identify-first-hand-experiences-of-prescription-drug-use_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use}}, year = {2026}, url = {https://4ort.xyz/entity/crowdsourcing-twitter-annotations-to-identify-first-hand-experiences-of-prescription-drug-use}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use — https://4ort.xyz/entity/crowdsourcing-twitter-annotations-to-identify-first-hand-experiences-of-prescription-drug-use (retrieved 2026-05-24)

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