skipLink.label
more ‘sophisticated’ methods of marketing by segmentation can cause harmful stereotypes and bias
Mentions
‘a slippery slope between effective marketing and efficient racism’ ➡
Resources
...
can you define politics ?
using technology to achieve political goals or to stabilise political orders ^8709eb
technical infrastructure as forms of order eg
NY low bridges prevent buses reaching beach destinations. Robert Moses
what happens when these exclusionary structures become beloved, part of place - relates to colonialist architecture /21st century backlash against visual/cultural evidence of colonial legacies
spatial design /histories of architectures and city planning have both implicit and explicit political purpose spatial design is political anti-protest measures some technology is more explicitly compatible with different political systems eg solar or nuclear, tech for war and tech for good
digital technologies, internet sociology , data inequities, etc
Resources
...
data feminism
eg feminist data set by Caroline Sinders https://carolinesinders.com/feminist-data-set/
STEM work by and for underrepresented minorities
data science as a newer form of power
empirically wrong data categorisation, incorrect and unjust binaries
data visualisation datasets that are skewed, incomplete or lack diverse representation
medical studies historically exclude black women
data collection on trans people very poor
i’ve seen a bunch of papers on this i just haven’t got round to cataloguing them here
data witnessing
Mentions
“All data is historical data, the product of a time, place, political, economic, technical and social climate. If you are not considering why your data exists and other datasets don’t, you are doing data science wrong.” — Melissa Terras (quoted in How AI Image Generators Make Bias Worse )
... How Google’s Bad Data Wiped a Neighborhood Off the Map
“calculated tweak in favour of gentrification, a digital rechristening that would be used to sell houses”
“the misnomer also revealed a great deal about the invisible process major tech firms use to put neighbourhoods on their maps — and how decisions based off arcane data sets can affect communities thousands of miles away.”