Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Author: Seth Stephens-Davidowitz
Published: 2017
Overview
Everybody Lies is an insightful exploration of the insights that can be gleaned from big data and internet searches. Authored by former Google data scientist Seth Stephens-Davidowitz, the book argues that people often do not tell the truth in surveys or interviews, but their online behavior reveals more about their true thoughts and feelings.
Stephens-Davidowitz uses a wealth of data from search engines, social media, and other online platforms to uncover patterns and trends that challenge conventional wisdom about human behavior. He explores topics such as racism, sexual preferences, and health, illustrating how data can provide a more honest picture of society.
Key Themes
— Big Data Insights: How analyzing large sets of data can reveal truths about human behavior that traditional methods cannot.
— Human Behavior: Understanding the discrepancies between what people say and what they actually do.
— Search Data: The significance of search engine queries as a reflection of people’s hidden desires and concerns.
— Social Trends: Insights into societal issues, including discrimination, mental health, and relationships, derived from data analysis.
— Ethics and Privacy: Considerations regarding the implications of using personal data to draw conclusions about society.
Reception
Everybody Lies has been well-received for its engaging writing style and thought-provoking content. Readers appreciate Stephens-Davidowitz’s ability to make complex data accessible and relevant, sparking discussions about privacy and the implications of big data.
Target Audience
Ideal for those interested in data science, sociology, psychology, and anyone curious about the intersection of technology and human behavior. It appeals to readers looking for a deeper understanding of how data can illuminate the complexities of modern life.
Everybody Lies serves as a compelling examination of the truths hidden in our digital footprints, encouraging readers to reconsider how we understand ourselves and each other in the age of big data.
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