Skip to content
10% OFF EVERYTHING when you spend £20 - Use Code: RWMAR10 - Must end Wednesday 1st 9am
10% OFF EVERYTHING when you spend £20 - Use Code: RWMAR10 - Ends Wednesday 9am

Data Excess in Digital Media Research

Natalie Ann Hendry, Hendry, Natalie Ann
Barcode 9781804559451
Hardback

Original price £94.05 - Original price £94.05
Original price
£94.05
£94.05 - £94.05
Current price £94.05

Click here to join our rewards scheme and earn points on this purchase!

Availability:
Low Stock
FREE shipping

Release Date: 08/11/2024

Genre: Society & Culture
Sub-Genre: Sociology & Anthropology
Label: Emerald Publishing Limited
Contributors: Natalie Ann Hendry (Edited by), Ingrid Richardson (Edited by)
Language: English
Publisher: Emerald Publishing Limited

Provoking an ethical reconsideration of what we do, or do not do, with excess data, this is a call to action for researchers and scholars to rethink how they conduct their research as the consequences of datafication grow ever more central to both our academic endeavours and our lives.


Data excess — particularly in digital media research — is inevitable. It emerges as the ‘debris’ and ‘leftovers’ from planning, fieldwork and writing; the words cut from drafts and copied to untouched and forgotten files; digital metadata automatically recorded to databases; the data archived but never analysed or published. What do or can we do with this excess from our research?

Thinking beyond academic constraints and the constant push towards the next new fundable thing, Data Excess in Digital Media Research explicitly engages with data that has been left behind, ignored, obscured or even ‘written out’ of research publications. Positioning ‘excess’ as a conceptual, methodological, ethical and pragmatic challenge and opportunity, the authors in this edited collection examine what can happen when media researchers return to their surplus archives and develop new knowledge from what would otherwise be under-explored excess.

Provoking an ethical reconsideration of what we do, or do not do, with excess data, this is a call to action for researchers and scholars to rethink how they conduct their research as the consequences of datafication grow ever more central to both our academic endeavours and our lives.