Big Dataphenomenology: Embodied Big Data

Autores/as

  • Karolin Eva Kappler FernUniversität in Hagen

Palabras clave:

Big Data, phenomenology, body, data assemblages

Resumen

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.

Descargas

Publicado

2016-10-31

Cómo citar

Kappler, K. E. (2016). Big Dataphenomenology: Embodied Big Data. AoIR Selected Papers of Internet Research, 6. Recuperado a partir de https://spir.aoir.org/ojs/index.php/spir/article/view/8471

Número

Sección

Papers K