Mining Social Media: Finding Stories in Internet Data
Authors: Lam Thuy Vo
ISBN-10: 1593279167
ISBN-13: 9781593279165
Released: 2019-11-25
Print Length 页数: 208 pages
Book 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 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
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.
CONTENTS IN DETAIL
ACKNOWLEDGMENTS
INTRODUCTION
PARTI: DATA MINING
1 THE PROGRAMMING LANGUAGES YOU’LL NEED TO KNOW
2 WHERE TO GET YOUR DATA
3 GETTING DATA WITH CODE
4 SCRAPING YOUR OWN FACEBOOK DATA
5 SCRAPING A LIVE SITE
PART I: DATA ANALYSIS
6INTRODUCTION TO DATA ANALYSIS
7 VISUALIZING YOUR DATA
8 ADVANCED TOOLS FOR DATA ANALYSIS
9 FINDING TRENDS IN REDDIT DATA
10 MEASURING THE TWITTER ACTIVITY OF POLITICAL ACTORS
11 WHERE TO GO FROM HERE
Index
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