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"Dark Answer" Factories or Four Negative Features of Modern Opt-in Online Panels
[journal article]

dc.contributor.authorRogozin, Dmitry M.de
dc.date.accessioned2025-01-10T10:02:49Z
dc.date.available2025-01-10T10:02:49Z
dc.date.issued2018de
dc.identifier.issn2074-0492de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/98938
dc.description.abstractIn 2018, the Laboratory for Social Research Methodology (The Institute for Social Analysis and Forecasting, RANEPA) held a series of expert interviews with managers and experts from companies operating in the online research market. The topic of discussion was the online opt-in panel as the most popular and dynamic method of conducting online surveys. There are four negative features that characterize modern Russian online panels. First, there is a prevalence of legal descriptions of facts and social phenomena as opposed to experimental means of observation. Formalism and standardization of procedures work to redefine social and methodological facts into legal ones. According to the latter, quality is determined by compliance with a preestablished procedure and legal norms, but not with common sense or scientific criteria. Second, panel surveys are oversaturated with falsified data and answers formulated in an ironic, playsome manner that does not meet the requirements of the survey industry. The basic psychological state of all survey participants is distrust towards each other’s sincerity. The game of obscuring mistrust is peculiar to the culture of falsification aimed at legitimizing the established order. Third, there is an already formed institution of evading errors, ignoring and silencing regular shifts, editing and cleaning arrays without preserving the original traces of falsification. Finally, the main actors of the research market demonstrate the mechanics of blackout data and significantly reduce the heu-risticity of the information received. The critical description of the online panels presented in the article aims to rethink the development of digital research in the survey industry, identifying challenges and opportunities for the methodological culture of data collection and analysis.de
dc.languagerude
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otheronline research; opt-in online panel; digital researchde
dc.titleФабрики "темных" ответов, или четыре негативных свойства современных опт-ин онлайн-панелейde
dc.title.alternative"Dark Answer" Factories or Four Negative Features of Modern Opt-in Online Panelsde
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.journalSociologija vlasti / Sociology of power
dc.source.volume30 (2018) 3de
dc.publisher.countryRUSde
dc.source.issue3de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozDatenqualitätde
dc.subject.thesozdata qualityen
dc.subject.thesozPanelde
dc.subject.thesozpanelen
dc.subject.thesozOnline-Befragungde
dc.subject.thesozonline surveyen
dc.subject.thesozDatenerfassungde
dc.subject.thesozdata acquisitionen
dc.identifier.urnurn:nbn:de:0168-ssoar-98938-5
dc.rights.licenceCreative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0de
dc.rights.licenceCreative Commons - Attribution-Noncommercial-No Derivative Works 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10055811
internal.identifier.thesoz10054018
internal.identifier.thesoz10037911
internal.identifier.thesoz10040543
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo38-53de
internal.identifier.classoz10105
internal.identifier.journal2720
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.22394/2074-0492-2018-3-38-53de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence20
internal.identifier.pubstatus1
internal.identifier.review2
dc.subject.classhort10500de
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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