Mining Social Media: Finding Stories in Internet Data

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.

Introduction

Part I: Data Mining
Chapter 1: The Programming Languages You'll Need to Know
Chapter 2: Where to Get Your Data
Chapter 3: Getting Data with Code
Chapter 4: Scraping Your Own Facebook Data
Chapter 5: Scraping a Live Site

Part II: Data Analysis
Chapter 6: Introduction to Data Analysis
Chapter 7: Visualizing Your Data
Chapter 8: Advanced Tools for Data Analysis
Chapter 9: Finding Trends in Reddit Data
Chapter 10: Measuring the Twitter Activity of Political Actors
Chapter 11: Where to Go from Here