Documentdetail
ID kaart
oai:arXiv.org:2412.05181
Onderwerp
Computer Science - Human-Computer ...Auteur
Joy, Karen Liang, Michelle Ammari, TawfiqCategorie
Computer Science
Jaar
2024
vermelding datum
11-12-2024
Trefwoorden
covidBeschrijving
As a novel virus, COVID introduced considerable uncertainty into the daily lives of people all over the globe since late 2019.
Relying on twenty-three semi-structured interviews with parents whose children contracted COVID, we analyzed how the use of social media moderated parental uncertainty about the symptoms, prognosis, long-term potential health ramifications of infection, vaccination, and other issues.
We framed our findings using Mishel's Uncertainty in Illness theory.
We propose new components to the theory that account for technological mediation in uncertainty.
We also propose design recommendations to help parents cope with health uncertainty using social media.
Joy, Karen,Liang, Michelle,Ammari, Tawfiq, 2024, "If it has an exclamation point, I step away from it, I need facts, not excited feelings": Technologically Mediated Parental COVID Uncertainty
Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning?
peer author-provided analysis rankings scores review learning machine science computer
