Dataclysm: Who We Are (When We Think No One’s Looking)

Christian Rudder

An irreverent, provocative, and visually fascinating look at what our online lives reveal about who we really are--and how this deluge of data will transform the science of human behavior. Big Data is used to spy on us, hire and fire us, and sell us things we don't need. In Dataclysm, Christian Rudder puts this flood of information to an entirely different use: understanding human nature. Drawing on terabytes of data from Twitter, Facebook, Reddit, OkCupid, and many other sites, Rudder examines the terrain of human experience. He charts the rise and fall of America's most reviled word through Google Search, examines the new dynamics of collaborative rage on Twitter, and traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible. Audacious, entertaining, and illuminating, Dataclysm is a portrait of our essential selves--and a first look at a revolution in the making.

ScienceScience · medium confidenceScience81 signalsLlm Classifier: Science -> ScienceOpen Library: PSYCHOLOGY / Social Psychology -> Medicine & Public HealthOpen Library: Computer network resources -> Business & EconomicsScience & DiscoveryTechnology, Computing & AIClimate, Weather & Disaster
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    The vast data from online life can be used to reveal and understand human nature, transforming the science of human behavior despite risks such as spying, hiring/firing, and commercial manipulation.

    Model confidence 72%

  4. 04 Reading orientation

    25 / 100 academic

    Serious trade

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 74%.