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Record W3199620946 · doi:10.1186/s12931-021-01843-4

The opportunities and challenges of social media in interstitial lung disease: a viewpoint

2021· review· en· W3199620946 on OpenAlexaff
Japnam S. Grewal, Letícia Kawano-Dourado, Christopher J. Ryerson

Bibliographic record

VenueRespiratory Research · 2021
Typereview
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMisinformationSocial mediaInternet privacyPublic relationsInterstitial lung diseaseHealth careMedicineBusinessPolitical scienceComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Social media is an increasingly popular source of health information, and the rarity and complexity of interstitial lung disease (ILD) may particularly draw patients with ILD to social media for information and support. The objective of this viewpoint is to provide an overview of social media, explore the benefits and limitations of ILD-related social media use, and discuss future development of healthcare information on social media. We describe the value of integrating social media into the practice of ILD health professionals, including its role in information dissemination, patient engagement, knowledge generation, and formation of health policy. We also describe major challenges to expanded social media use in ILD, including limited access for some individuals and populations, abundance of misinformation, and concerns about patient privacy. Finally, for healthcare professionals looking to join social media, we provide practical guidance and considerations to optimize the potential benefits and minimize the potential pitfalls of social media.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.964
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.793
GPT teacher head0.591
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2021
Admission routes1
Has abstractyes

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