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Mining Social Media: Finding Stories in Internet Data
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  • Title: Mining Social Media: Finding Stories in Internet Data
  • Author(s) Lam Thuy Vo
  • Publisher: No Starch Press (November 25, 2019); eBook (web-version)
  • Permission: "My publishers at No Starch and I really wanted to ensure that people of all socioeconomic backgrounds have access to this book, so this is a free version of it."
  • Hardcover/Paperback: 208 pages
  • eBook: HTML
  • Language: English
  • ISBN-10: 1593279167
  • ISBN-13: 978-1593279165
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Book Description

Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? This book 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.

  • Write Python scripts and use APIs to gather data from the social web
  • Download data archives and dig through them for insights
  • Inspect HTML downloaded from websites for useful content
  • Format, aggregate, sort, and filter your collected data using Google Sheets
  • Create data visualizations to illustrate your discoveries
  • Perform advanced data analysis using Python, Jupyter Notebooks, and the Pandas library
  • Apply what you've learned to research topics on your own
About the Authors
  • Lam Thuy Vo is a journalist who marries data analysis with on-the-ground reporting to examine how systems and policies affect individuals. She has reported for BuzzFeed, 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.
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