Digital Literacy and Privacy Behavior Online.
This study examined the impact of three dimensions of digital literacy on privacy-related online behaviors: (a) familiarity with technical aspects of the Internet, (b) awareness of common institutional practices, and (c) understanding of current privacy policy. Hierarchical regression models analyze...
| Publicado en: | Communication Research Vol. 40; no. 2; pp. 215 - 237 |
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| Formato: | Artículo |
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Sage Publications Inc.
Apr2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=85788146&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 85788146 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00936502 CRX jtl: Communication Research issn: 00936502 maglogo: Y pubinfo: dt: Apr2013 vid: 40 iid: 2 pid: 344 pub: Sage Publications Inc. artinfo: ui: 85788146 10.1177/0093650211418338 ppf: 215 ppct: 22 formats: tig: atl: Digital Literacy and Privacy Behavior Online. aug: au: Park, Yong Jin affil: Howard University, Washington, DC, USA su: Computer literacy Internet privacy Internet & society Data privacy Sociodemographic factors Computer users -- Research Legal status of internet users Computer security sug: subj: Computer literacy Internet privacy Internet & society Data privacy Sociodemographic factors Internet Publishing and Broadcasting and Web Search Portals Wired Telecommunications Carriers Computer users -- Research Legal status of internet users Computer security keyword: digital divide information control skills surveillance digital divide information control skills surveillance ab: This study examined the impact of three dimensions of digital literacy on privacy-related online behaviors: (a) familiarity with technical aspects of the Internet, (b) awareness of common institutional practices, and (c) understanding of current privacy policy. Hierarchical regression models analyzed data from a national sample of 419 adult Internet users. The analyses showed strong predictive powers of user knowledge, as indicated by the three discrete dimensions, on privacy control behavior. However, the findings were mixed when accounting for the interaction between knowledge and Internet experiences. There were limitations on the extents of knowledge and action related to personalized information. Furthermore, those limitations divided with sociodemographic characteristics such as age, gender, income, and education. Ramifications for the current status of the FTC policy are discussed. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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