Readings on Big Data Use and Implications
2 min read
This is a general and incomplete list. For additional recommendations, please let me know!
2006: AOL releases data on searches.
2012: Location tracking, and predicting where we will go:
2013: Likes are revealing. This study formed the basis of Cambridge Analytica's work.
2013: Location data is a highly accurate method of identifying individuals. 2 data points can identify 50% of individuals; 4 data points identifies 95% of individuals.
2013: Discrimination in online ads:
2014: NYC Taxi data, aka anonymization is hard.
2016: From ProPublica, the different data categories Facebook (and other data collection companies) collect about us.
2016: Big data, risk assessments, and sentencing:
2017: Cambridge Analytica and the 2016 election:
2017: Tracking a specific person, legally, with $1000 and adtech.
Four books that help frame uses and issues with Big Data:
- Frank Pasqualle - The Black Box Society.
- Virginia Eubanks - Automating Inequality.
- Safiya Noble - Algorithms of Oppression.
- Shoshana Zuboff - The Age of Surveillance Capitalism (I haven't read this yet, but it looks great).
