dc.contributor.author | Festic, Noemi | de |
dc.contributor.author | Latzer, Michael | de |
dc.contributor.author | Smirnova, Svetlana | de |
dc.date.accessioned | 2022-03-24T11:03:17Z | |
dc.date.available | 2022-03-24T11:03:17Z | |
dc.date.issued | 2021 | de |
dc.identifier.issn | 2183-2439 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/78206 | |
dc.description.abstract | Self-tracking with wearable devices and mobile applications is a popular practice that relies on automated data collection and algorithm-driven analytics. Initially designed as a tool for personal use, a variety of public and corporate actors such as commercial organizations and insurance companies now make use of self-tracking data. Associated social risks such as privacy violations or measurement inaccuracies have been theoretically derived, although empirical evidence remains sparse. This article conceptualizes self-tracking as algorithmic-selection applications and empirically examines users' risk awareness related to self-tracking applications as well as coping strategies as an option to deal with these risks. It draws on representative survey data collected in Switzerland. The results reveal that Swiss self-trackers' awareness of risks related to the applications they use is generally low and only a small number of those who self-track apply coping strategies. We further find only a weak association between risk awareness and the application of coping strategies. This points to a cost-benefit calculation when deciding how to respond to perceived risks, a behavior explained as a privacy calculus in extant literature. The widespread willingness to pass on personal data to insurance companies despite associated risks provides further evidence for this interpretation. The conclusions - made even more pertinent by the potential of wearables' track-and-trace systems and state-level health provision - raise questions about technical safeguarding, data and health literacies, and governance mechanisms that might be necessary considering the further popularization of self-tracking for health. | de |
dc.language | en | de |
dc.subject.ddc | Publizistische Medien, Journalismus,Verlagswesen | de |
dc.subject.ddc | News media, journalism, publishing | en |
dc.subject.ddc | Soziologie, Anthropologie | de |
dc.subject.ddc | Sociology & anthropology | en |
dc.subject.ddc | Technik, Technologie | de |
dc.subject.ddc | Technology (Applied sciences) | en |
dc.subject.other | algorithmic selection; coping strategies; mHealth; risk awareness; self-quantification; self-tracking apps; societal risks; user perception; wearables | de |
dc.title | Algorithmic Self-Tracking for Health: User Perspectives on Risk Awareness and Coping Strategies | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.identifier.url | https://www.cogitatiopress.com/mediaandcommunication/article/view/4162 | de |
dc.source.journal | Media and Communication | |
dc.source.volume | 9 | de |
dc.publisher.country | PRT | de |
dc.source.issue | 4 | de |
dc.subject.classoz | interaktive, elektronische Medien | de |
dc.subject.classoz | Interactive, electronic Media | en |
dc.subject.classoz | Medizinsoziologie | de |
dc.subject.classoz | Medical Sociology | en |
dc.subject.classoz | Technikfolgenabschätzung | de |
dc.subject.classoz | Technology Assessment | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
internal.status | formal und inhaltlich fertig erschlossen | de |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 145-157 | de |
internal.identifier.classoz | 1080404 | |
internal.identifier.classoz | 10215 | |
internal.identifier.classoz | 20800 | |
internal.identifier.journal | 793 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 070 | |
internal.identifier.ddc | 301 | |
internal.identifier.ddc | 600 | |
dc.source.issuetopic | Algorithmic Systems in the Digital Society | de |
dc.identifier.doi | https://doi.org/10.17645/mac.v9i4.4162 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
internal.dda.reference | https://www.cogitatiopress.com/mediaandcommunication/oai/@@oai:ojs.cogitatiopress.com:article/4162 | |
ssoar.urn.registration | false | de |