Mining Social Media: Finding Stories in Internet Data
BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language.
Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media.
Whether you're a professional journalist, an academic researcher, or a citizen investigator, you'll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories.
Learn how to:
Social media is filled with thousands of hidden stories just waiting to be told. Learn to use the data-sleuthing tools that professionals use to write your own data-driven stories.
About the Author
Lam Thuy Vo is a senior reporter at BuzzFeed News where she focuses on the intersection of technology, society, and social media data. She has reported for The Wall Street Journal, Al Jazeera America, and NPR's Planet Money, telling economic stories across the US and throughout Asia. Vo has also spent over a decade as an educator, training newsrooms and developing courses for the Craig Newmark Graduate School of Journalism at CUNY.
Praise for Mining Social Media: Finding Stories in Internet Data
"If you want to know a little bit about Data Science while learning Python along the way, Mining Social Media is a must read . . . It's a fun and hands on approach to the topic, and I'd love to have read this when I was starting coding!"
—Gonçalo Palma, @GonPalma
"Excellently written, with complex topics made easy to understand, and has a welcoming style of prose."
—Ryan K. Louie, MD, PhD, @ryanlouie
"If you haven't read Lam's book, Mining Social Media, trust us — you're gonna dig it."
—Craig Newmark Graduate School of Journalism, @newmarkjschool