We’ll use this page to create together a bibliography of material relevant to data & society themes and issues.

Here are some excellent notebooks from class:
https://colab.research.google.com/drive/1piwmMFMbSqv3tXedo_krJuA4WMHuyzrS?ts=631e6c51
https://colab.research.google.com/drive/1GwhFyf1asP3Rs9aI8Q2SFQEoWdi51Kik?ts=63228ae4

I’ll get us started with a few recent books:
Cathy O’Neil, Weapons of Math Destruction (Broadway Books, 2016).

Wes McKinney, Python for Data Analysis (O’Reilly, 2017)

Steven Bird, et al., Natural Language Processing with Python (O’Reilly, 2009)

Matthew Russell and Mikhail Klassen, Mining the Social Web (O’Reilly, 2018)

Benjamin Bengfort, et al., Applied Text Analysis with Python (O’Reilly, 2018)

Andreas Müller and Sarah Guido, Introduction to Machine Learning with Python (O’Reilly, 2016)

David Beer, The Data Gaze (Sage, 2018)

Virginia Eubanks, Automating Inequality (St. Martin’s Press, 2018)

Christian Fuchs, Social Media (Sage, 2021)

Rob Kitchin, The Data Revolution (Sage, 2014)