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  4. Mundane digitality: Experiencing datafication and datfying experiences in everyday life
 
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Mundane digitality: Experiencing datafication and datfying experiences in everyday life

Type
conference paper
Date Issued
2019-03-21
Author(s)
Schneider, Tanja  
;
Eli, Karin
Abstract (De)
Digital technologies increasingly mediate how producers and consumers seek, share and interpret food and food-related information and practices. The proposed presentation outlines a research agenda for studying the phenomenon we define as ‘digital eating’. Our agenda focuses on understanding how digitalisation and datafication are transforming subjective experiences of food and eating, with particular emphasis on how digital technologies and their users co-constitute new socialities of eating. Central to our envisioned research are methods that reflect and converse with participants’ lived experiences of/through digital media. In our presentation, we explore ways of coalescing the analogue and the digital, including methods such as digital-photographic diaries, social media curation, and digitally-centric focus group discussions. We propose, then, that through developing a research agenda for digital eating, new insights can be developed on how users turn their experiences into data and how they draw on others’ datafied experiences, as well as on how users explicitly or tacitly practice datafication in everyday life. These insights into digital eating, we suggest, might also catalyse understandings of the broader realm of mundane digitality, elucidating how digital economies become embodied in everyday life.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SHSS - Kulturen, Institutionen, Maerkte (KIM)
Event Title
Big Data and the Power of Narrative Conference
Event Location
IT University Copenhagen, Denmark
Event Date
21.-22. March 2019
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/98820
Subject(s)

social sciences

Division(s)

SfS - Institute of So...

SHSS - School of Huma...

Eprints ID
256866

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