Podcast data donation: A data-driven method for studying the datafication and platforms of podcasting.
This article explores data donations as an approach for collecting podcast audience data from platforms and answering urgent questions about the nature of such data. Scholars of podcast audiences have historically faced challenges due to the lack of empirical audience data: distribution through RSS...
| Publicado en: | Radio Journal: International Studies in Broadcast & Audio Media Vol. 24; no. 1; pp. 47 - 70 |
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| Autores principales: | , |
| Formato: | Artículo |
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Intellect Ltd.
Apr2026
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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=196301182&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 196301182 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 14764504 L2N jtl: Radio Journal: International Studies in Broadcast & Audio Media issn: 14764504 maglogo: N pubinfo: dt: Apr2026 vid: 24 iid: 1 pid: 12270 pub: Intellect Ltd. artinfo: ui: 196301182 10.1386/rjao_00133_1 ppf: 47 ppct: 23 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2.7MB tig: atl: Podcast data donation: A data-driven method for studying the datafication and platforms of podcasting. aug: au: Sejersen, Thomas Spejlborg Lai, Signe Sophus affil: Danish School of Media and Journalism and University of Copenhagen University of Copenhagen su: Empirical research Podcasting General Data Protection Regulation, 2016 Data extraction Metadata Research methodology sug: subj: Empirical research Internet Publishing and Broadcasting and Web Search Portals Podcasting General Data Protection Regulation, 2016 Data extraction Metadata Research methodology keyword: audiences data donations datafication platforms podcast studies Spotify audiences data donations datafication platforms podcast studies Spotify ab: This article explores data donations as an approach for collecting podcast audience data from platforms and answering urgent questions about the nature of such data. Scholars of podcast audiences have historically faced challenges due to the lack of empirical audience data: distribution through RSS yields little data feedback, and the platforms are most reluctant to share data. This article argues that data donations and GDPR legislation present a viable and legitimate approach to accessing hitherto unseen audience data collected by platforms. Through an explorative study, we establish a methodological framework for managing the data download packages claimed voluntarily by informed users of Spotify. We review the data and outline their usefulness for empirical analysis before discussing the platforms' incentives to collect it. While we will not draw any conclusions about podcast audiences, this article lays the groundwork for future studies to do so. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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