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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)
  • 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 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.
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