[SIOP 2017] Automated Conversion of Social Media into Data: Demonstration and Tutorial

This page of resources is organized into two sections: To Do Before You Arrive and Resources During the Workshop.

To Do Before You Arrive

To get the most benefit from this workshop, it is recommended that you bring a laptop with the following programs installed. They are all FREE. If you are ever asked for a credit card number, you've gone the wrong way.  I will be using a Windows machine, but I believe this should work just the same on Mac.  It is recommended you install them in this order:

1. Google Chrome
2. Extensions for Google Chrome:
   1. JSON Viewer
   2. Scraper
3. The R Project for Statistical Computing
4. RStudio Desktop
5. Java
6. Once R and RStudio Desktop are installed, open RStudio and copy-paste the following commands in the window labeled Console. It will probably take a few minutes if you're installing R for the first time:
   1. install.packages("jsonlite")
   2. install.packages("dplyr")
   3. install.packages("rvest")
   4. install.packages("data.table")
   5. install.packages("xlsx")
   6. install.packages("rstudioapi")

Once you have all of that installed, download the following, open it, and save the files into their own folder somewhere that you'll be able to find later: SIOP 2017 Workshop R Project

With all that done, you're ready for the workshop!

Resources During the Workshop

If you like to take notes on PDFs, please take advantage of this notes PDF:

Alternatively, if you'd prefer one PDF for each portion of the workshop, please take advantage of these:

1. Section 1: Introduction
   
2. Section 2: Theoretical Foundations
   
3. Section 3: Technical Overview
   
4. Section 4: Executing an API-based Scraping Project
   
5. Section 5: Executing a Web Scraping Project
   
6. Section 6: Practical Issues