Information Deprivation and Democratic Engagement.
There remains no consensus among social scientists as to how to measure and understand forms of information deprivation such as misinformation. Machine learning and statistical analyses of information deprivation typically contain problematic operationalizations which are too often biased towards ep...
| Publicado en: | Philosophy of Science Vol. 90; no. 5; pp. 1110 - 1120 |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
Cambridge University Press
Dec2023
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=174317252&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 174317252 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2023 vid: 90 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 174317252 10.1017/psa.2023.9 ppf: 1110 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P size: 125KB tig: atl: Information Deprivation and Democratic Engagement. aug: au: Yee, Adrian K. affil: Institute for the History & Philosophy of Science and Technology (IHPST), University of Toronto, Canada Department of Philosophy, Lingnan University, Hong Kong Catastrophic Risk Centre, Hong Kong su: Statistical learning Statistics Social scientists Machine learning Operational definitions sug: subj: Statistical learning Statistics Social scientists Machine learning Operational definitions ab: There remains no consensus among social scientists as to how to measure and understand forms of information deprivation such as misinformation. Machine learning and statistical analyses of information deprivation typically contain problematic operationalizations which are too often biased towards epistemic elites' conceptions that can undermine their empirical adequacy. A mature science of information deprivation should include considerable citizen involvement that is sensitive to the value-ladenness of information quality, and doing so may improve the predictive and explanatory power of extant models. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
|---|