dc.description.abstract | Since the 1990s, visual anthropology and sociology
scholarship has highlighted the radical change that digital
technologies have brought to empirical – let alone
ethnographic – research in the social sciences. In particular,
much attention has been paid to how digital photography,
as opposed to analogue photography, has enabled
researchers to analyse, transport, store and archive wider
visual datasets. However, since the early 1990s when
Mitchell famously anticipated the power of digital images as
having the potential to produce a new form of visual culture,
less has been said on how digital photography has also
enabled interlocutors to produce a new visual discourse
when they are questioned about their everyday lives by
social scientists. In this article, I argue that a focus on the
digital photography of human–animal relations in the
context of contemporary South Korean society empowers
interlocutors with the capability to address and/or express
their own views on traditional practices, social change and
cultural stereotypes. I will start this article by reproducing
my participants’ internet aesthetics to show how animal
activists use digital technologies (mainly smartphones) to
visually frame animal abuse and more-than-human
empathy and increase the visibility of violent practices
against cats and dogs. I will then show how my interlocutors
use digital photography as a way to attest to Korea’s social
change without having to move away from what they
describe as ‘traditional Korean values’. Using a Kopytoffian
framework, I will then show how participants use
photography to ‘singularise’ the status of livestock animals
into that of cosmological responsibility, thereby arguing that
digital photography enables my participants to perform and
articulate human–animal interactions beyond human
terms and human-made categories of life. Finally, I will
show how my participants identify identity construction,
whether human or nonhuman, as part of a nationalist
discourse that draws on cosmologic/geom | en_GB |