Social Media Analytics Summer Workshop Series with R

Sponsored by

• Project Mosaic

Date, Time and Location

• July 18 (Part 1), July 20 (Part 2), and July 27 (Part 3)

• 9:30 am - 12:30 pm

• Kennedy 234

Instructor

• Ryan Wesslen

This three part workshop series will cover three major tools for computational social scientist toolkit to analyze social media data. In addition to hands-on working materials, each workshop will include 2-3 important research papers and GitHub repositories.

Many of the tools were created by political scientists and therefore most examples will focus on political-related events although they can easily be applied to other social sciences (e.g., geography, communications, management, sociology, public health).

Schedule for the Workshops

Day 1: Tues July 18	Acquiring Social Media Data via APIs (Twitter and Facebook)
Lecture	Introduction to Social Media Analytics
Hands On Tutorial	Facebook API
Hands On Tutorial	Twitter REST API
Hands On Tutorial	Twitter Streaming API

Day 2: Thur July 20	Querying, Handling and Visualizing Social Media Data
Lecture & Demo	Social Media Viz Demos & Keyword Search Tips
Hands On Tutorial	Data Management for Twitter Streaming API Data / HTML
Hands On Tutorial	Querying Twitter Data / HTML
Hands On Tutorial	Twitter Social Networks / HTML
Hands On Tutorial	Twitter Followers / HTML

Day 3: Thur July 27	Text as Data: Analyzing Social Media Content
Lecture	Text as Data for Social Media
Case Study	Dictionary-based / HTML
Case Study	Supervised Machine Learning HTML
Case Study	Topic Modeling / HTML
Optional	Word Embedding (GloVe) / HTML
Optional	Emoji Sentiment Analysis / HTML

Setup and Preparation

R Knowledge

This workshop assumes you have basic knowledge of how to :

• Set your working directory
• Install R packages via CRAN
• Handle R dataframes with tidyverse packages like ggplot, dplyr, and readr
• rmarkdown knowledge

It's ok if you're not familiar with these tools, but if you are not, please look over Brooke Anderson's helpful R Introduction Slides. This is the introduction to her great R Programming for Research Workshop Materials, which I strongly suggest if you're looking for R introduction materials.

Preparation

You will need R and RStudio installed on your laptop.

Also, please install these packages by running this code:

packages <- c("tidyverse","Rfacebook","twitteR","streamR","rmarkdown","devtools",
              "quanteda","stm","tidytext","tidyr","wordcloud","reshape2",
              "rvest","Unicode","pairsD3","stringr","igraph","edgebundleR",
              "doMC","glmnet","topicmodels","LDAvis")

install.packages(packages)

Downloading Materials

To download the materials, please click the "Clone or Download" button in the top right of this page. Then save the materials as a zip file onto your computer (e.g., Desktop).