Everyday Digital Traces

Andrea Armstrong, Jo Briggs*, Wendy Moncur, Daniel Carey, Emma Nicol, Burkhard Schafer

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    3 Citations (Scopus)
    21 Downloads (Pure)

    Abstract

    Our research responds to calls for more engagement with everyday personal data. We used a co-designed, fictional persona called Alex Smith to concretise and represent people's online information to help participants (through role-playing) reflect on data and digital traces. Drawing together four fields of scholarly research concerning personal data: digital traces and the digital self, datafication and dataveillance, mundane, everyday data and the data journey – our aim was to advance understandings of personal data by exploring ordinary people's seemingly innocuous digital traces generated through everyday online interactions. Our paper presents three key findings from our analysis: (1) how ordinary people cope with and manage everyday data; (2) the haunting effects and affects of peer-to-peer surveillance and (3) postdigital identities. We argue that greater attention needs to be paid to everyday digital traces – how they are understood, managed and revealed because this has implications for ordinary people, corporate entities and governments. We contribute to a gap in critical data studies literature that calls for further investigations into ordinary people's engagement with data. We also offer a method that can be adapted for and used with different participant groups, which also supports their awareness of cumulative functions of personal data and potential use by un/known actors.
    Original languageEnglish
    Pages (from-to)1-13
    Number of pages13
    JournalBig Data and Society
    Volume10
    Issue number2
    Early online date6 Dec 2023
    DOIs
    Publication statusPublished - 6 Dec 2023

    Keywords

    • Digital traces
    • creative security
    • data journeys
    • data self
    • datafication
    • online harms
    • peer-to-peer surveillance

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