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[journal article]

dc.contributor.authorKreuter, Fraukede
dc.contributor.authorHaas, Georg-Christophde
dc.contributor.authorKeusch, Floriande
dc.contributor.authorBähr, Sebastiande
dc.contributor.authorTrappmann, Markde
dc.date.accessioned2023-02-22T09:54:54Z
dc.date.available2023-02-22T09:54:54Z
dc.date.issued2020de
dc.identifier.issn1552-8286de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/85276
dc.description.abstractThe new European General Data Protection Regulation (GDPR) imposes enhanced requirements on digital data collection. This article reports from a 2018 German nationwide population-based probability app study in which participants were asked through a GDPR compliant consent process to share a series of digital trace data, including geolocation, accelerometer data, phone and text messaging logs, app usage, and access to their address books. With about 4,300 invitees and about 650 participants, we demonstrate (1) people were just as willing to share such extensive digital trace data as they were in studies with far more limited requests; (2) despite being provided more decision-related information, participants hardly differentiated between the different data requests made; and (3) once participants gave consent, they did not tend to revoke it. We also show (4) evidence for a widely-held belief that explanations regarding data collection and data usage are often not read carefully, at least not within the app itself, indicating the need for research and user experience improvement to adequately inform and protect participants. We close with suggestions to the field for creating a seal of approval from professional organizations to help the research community promote the safe use of data.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherGDPR; app data collection; informed consent; passive measurements; privacy; smartphonesde
dc.titleCollecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consentde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.identifier.urllocalfile:/var/tmp/crawlerFiles/deepGreen/69f7546e93bf4301bd14641dd29db356/69f7546e93bf4301bd14641dd29db356.pdfde
dc.source.journalSocial Science Computer Review
dc.source.volume38de
dc.publisher.countryUSAde
dc.source.issue5de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDatenerfassungde
dc.subject.thesozdata acquisitionen
dc.subject.thesozDigitale Mediende
dc.subject.thesozdigital mediaen
dc.subject.thesozDatenschutzde
dc.subject.thesozdata protectionen
dc.identifier.urnurn:nbn:de:0168-ssoar-85276-1
dc.rights.licenceCreative Commons - Namensnennung, Nicht-kommerz. 4.0de
dc.rights.licenceCreative Commons - Attribution-NonCommercial 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10040547
internal.identifier.thesoz10040543
internal.identifier.thesoz10083753
internal.identifier.thesoz10040560
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo533-549de
internal.identifier.classoz10105
internal.identifier.journal645
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1177/0894439318816389de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence32
internal.identifier.pubstatus1
internal.identifier.review1
internal.dda.referencecrawler-deepgreen-188@@69f7546e93bf4301bd14641dd29db356


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