e-space
Manchester Metropolitan University's Research Repository

    Everyday digital traces

    Armstrong, Andrea, Briggs, Jo ORCID logoORCID: https://orcid.org/0000-0002-4041-1918, Moncur, Wendy, Carey, Paul, Nicol, Emma and Schafer, Burkhard (2023) Everyday digital traces. Big Data & Society, 10 (2). pp. 1-13. ISSN 2053-9517

    [img]
    Preview
    Published Version
    Available under License Creative Commons Attribution.

    Download (965kB) | Preview

    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 peoples’ 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.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    96Downloads
    6 month trend
    122Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record