Big Dataphenomenology: Embodied Big Data

  • Karolin Eva Kappler FernUniversität in Hagen
Keywords: Big Data, phenomenology, body, data assemblages

Abstract

Pursuing the current problem of (not) making sense of Big Data and the fruitless efforts to detect its value, the paper proposes a phenomenological view on Big Data. In a reflection on enriched, small, big, thick, and raw data, it introduces the distinction between body and embodiment (in German: Körper and Leib), following the phenomenological tradition of perception and thinking of corporeality. By this, it denunciates the missing depth and context in current (digital) data assemblages, suggesting the concept of Embodied Big Data.
Published
2018-04-03
How to Cite
Kappler, K. E. (2018). Big Dataphenomenology: Embodied Big Data. AoIR Selected Papers of Internet Research, 6. Retrieved from https://spir.aoir.org/ojs/index.php/spir/article/view/8471