User:Manetta/i-could-have-written-that/text-mining-critique
what about text-mining?
text mining, what about it!?
points of critique
from: Critical Algorithm Studies: a Reading List
- 0. overviews
- 0.1 technical and philosophical precursors / emic “what are algorithms?” essays
- 0.2 field surveys / keywords / initial provocations
- 0.3 books about algorithms addressed to broader audiences
- 0.4 lists of algorithm studies resources
- 1. the specific implications of algorithms and the choices they make
- 1.1 algorithms have embedded values / biases, lead to personalization / social sorting / discrimination
- 1.2 with algorithms come rationalization / automation / quantification,and the erasure of human judgment / complexity / context
- 1.3 questions of accountability and policy responses around algorithms
- 2. algorithms fit with, and help advance, specific ideological worldviews
- 3. algorithms are complex technical assemblages, that have to be mapped
- 4. algorithms aren’t just technical artifacts, they’re fundamentally human in their design and their use
- 4.1 people design and maintain algorithms, in specific ways, and that matters
- 4.2 people work, play, and live algorithms, in specific ways, and that matters
- 4.3 what do users understand about algorithms
- 4.4 the discursive production of algorithms to shape their public perception
- 5. methods and approaches for studying algorithmic systems
notes
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references