Blar i Publikasjoner fra CRIStin - BI på forfatter "Hoffmann, Christian Pieter"

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    • Inequalities in Privacy Cynicism: An Intersectional Analysis of Agency Constraints 

      Hoffmann, Christian Pieter; Lutz, Christoph; Ranzini, Giulia (Journal article; Peer reviewed, 2024)
      A growing body of research highlights a trend toward widespread attitudes of privacy cynicism, apathy, and resignation among Internet users. In this work, we extend these discussions by concentrating on the concept of user ...

    • Sharing by Proxy: Invisible Users in the Sharing Economy 

      Newlands, Gemma Elisabeth Marjorie; Lutz, Christoph; Hoffmann, Christian Pieter (Journal article; Peer reviewed, 2018)
      With the future of work increasingly data-driven, platforms automate decisions based on the collection of vast quantities of user data. However, non-users constitute a challenge as they provide little to no data for either ...

    • The Dark Side of Online Participation: Exploring Non-, Passive and Negative Participation 

      Lutz, Christoph; Hoffmann, Christian Pieter (Journal article; Peer reviewed, 2017)
      Studies on the “second-level digital divide” explore the socio-economic antecedents and effects of (a lack of) user participation on the Internet. At the same time, some have criticized a normatively affirmative bias in ...

    • The Role of Privacy Concerns in the Sharing Economy 

      Lutz, Christoph; Hoffmann, Christian Pieter; Bucher, Eliane; Fieseler, Christian (Journal article; Peer reviewed, 2018)
      Internet-mediated sharing is growing quickly. Millions of users around the world share personal services and possessions with others—often complete strangers. Shared goods can amount to substantial financial and immaterial ...

    • Unfairness by Design? The Perceived Fairness of Digital Labor on Crowdworking Platforms 

      Fieseler, Christian; Bucher, Eliane; Hoffmann, Christian Pieter (Journal article; Peer reviewed, 2017)
      Based on a qualitative survey among 203 US workers active on the microwork platform Amazon Mechanical Turk, we analyze potential biases embedded in the institutional setting provided by on-demand crowdworking platforms and ...