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Mining Social Media: Finding Stories in Internet Data Paperback – Illustrated, November 25, 2019

4.3 out of 5 stars 23 ratings

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From the Publisher

Who is this book intended for?

This book is primarily written with researchers in mind, which I will broadly define as social scientists, lawyers, linguists, academics, educators, activists, and journalists. People who have more commercial applications for this kind of research in mind, like marketers or publicists, may also find value in understanding the social web. In terms of skill sets, this book is targeted at people who come with little to no previous programming experience and aims to bring a conceptual understanding of programming to practical exercises for people who are excited to dive into coding for the first time.

What do you want readers to take away from the book?

I want them to feel empowered. Technology and in particular social media plays a huge role in people's lives but few are provided the tools or resources to learn how to better understand it. Learning how to code and how to analyze data, in particular, can seem like a daunting task and I wanted to create a resource that complete novices can use to learn the skills they need to make more sense of social media. Through this book, I hope to show that coding is not just a way to build a bot or to build an app but that it can be a means for exploring one’s curiosity in a world that is increasingly dependent on technology.

Editorial Reviews

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.

Product details

  • Publisher : No Starch Press; Illustrated edition (November 25, 2019)
  • Language : English
  • Paperback : 208 pages
  • ISBN-10 : 1593279167
  • ISBN-13 : 978-1593279165
  • Item Weight : 9.1 ounces
  • Dimensions : 7 x 0.53 x 9.19 inches
  • Customer Reviews:
    4.3 out of 5 stars 23 ratings

Customer reviews

4.3 out of 5 stars
4.3 out of 5
23 global ratings
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Top reviews from the United States

Reviewed in the United States on April 11, 2020
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Reviewed in the United States on January 5, 2020
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Top reviews from other countries

Dr. Gary S. Shea
5.0 out of 5 stars A great introduction to real hands-on programming for data-mining in social media
Reviewed in the United Kingdom on March 11, 2020
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One person found this helpful
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RCC
5.0 out of 5 stars Python y No Starch Press
Reviewed in Mexico on December 1, 2020
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Richard Laya
5.0 out of 5 stars Muy buen libro
Reviewed in Mexico on February 28, 2020
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