data extractivism eg as applies to less-than-ethical research with eg indigenous communities but also as applies to users of Web 2.0 services and platforms, digital forms of data, hidden data flows and data exhaust, the ‘extraction imperative’ that sees wasted opportunity in possibilities for data collection to be sold on to train predictive models (AI ethics) users forcibly becoming data subjects more data is extracted than what is needed for the service beyond online life - data from daily experience, mics in products serving the business model and corporate interest ...
less structured dataNotes TODO how a connected collection of markdown files is standard in latest wave of notetaking systems compared to previous ‘notebook’ systems notion as current ‘gateway’ pkm tool, but if restricted by the database, users move elsewhere emulating the increasing use of noSQL databases, it’s moving away from relational connections obv applicable reasons for either in context - structured data best for x y z but general trend is towards looser structures as relational can be restrictive due to increasing ability to manage unstructured data / use of flexible frameworks and protocols for interfacing ...