Finding Stories in Internet Data: Mining Social Media
Finding Stories in Internet Data: Mining Social Media

Finding Stories in Internet Data: Mining Social Media

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Description

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:Write Python scripts and use APIs to gather data from the social webDownload data archives and dig through them for insightsInspect HTML downloaded from websites for useful contentFormat, aggregate, sort, and filter your collected data using Google SheetsCreate data visualizations to illustrate your discoveriesPerform advanced data analysis using Python, Jupyter Notebooks, and the pandas libraryApply what you’ve learned to research topics on your ownSocial 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.

Additional information

Weight 0.4086 kg
Dimensions 1.3462 × 17.78 × 23.3426 cm
book-author1

Format

Paperback
Language

Publisher

Year Published

2019-11-25
Imprint

Publication City/Country

USA
ISBN 10

1593279167
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.

"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
Table Of Content

IntroductionPart I: Data MiningChapter 1: The Programming Languages You’ll Need to KnowChapter 2: Where to Get Your DataChapter 3: Getting Data with CodeChapter 4: Scraping Your Own Facebook DataChapter 5: Scraping a Live SitePart II: Data AnalysisChapter 6: Introduction to Data AnalysisChapter 7: Visualizing Your DataChapter 8: Advanced Tools for Data AnalysisChapter 9: Finding Trends in Reddit DataChapter 10: Measuring the Twitter Activity of Political ActorsChapter 11: Where to Go from Here

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