EVERYDAY DATA CULTURES

This panel deploys a range of qualitative methodologies to investigate how processes datafication meet with the subjective experiences ordinary people, and practices everyday life. We draw on model ‘everyday data cultures’ proposed by Burgess (2017) explore ways diverse – including production circulation visualisations, modes storage vernacular engagements literacy can be understood as aspects culture. Following Burgess, we define cultures that form around in response social media other (and trails) people generate go about our daily lives. These from with, of, approaches understanding negotiating these Across four papers, address politics platforms; development pedagogies AI machine leaning practices; historical sex gender, mundane workplace storing, concealing revealing personal data. In doing so, seek highlight amplify human agency, well its limits uneven distribution, consider it is being transformed through logics machines feed them.