https://github.com/pablobarbera/nyu-ad-160j

Recitation materials for the NYU-Abu Dhabi course "Social Media and Political Participation", J-TERM 2014
https://github.com/pablobarbera/nyu-ad-160j

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Recitation materials for the NYU-Abu Dhabi course "Social Media and Political Participation", J-TERM 2014

• Host: GitHub
• URL: https://github.com/pablobarbera/nyu-ad-160j
• Owner: pablobarbera
• Created: 2014-02-24T06:26:34.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2015-02-25T04:18:31.000Z (almost 10 years ago)
• Last Synced: 2023-03-27T13:47:37.192Z (almost 2 years ago)
• Language: R
• Size: 5.59 MB
• Stars: 14
• Watchers: 6
• Forks: 21
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Social Media and Political Participation #

This repository contains the recitation materials prepared by [Pablo Barberá](http://www.pablobarbera.com) for the undergraduate course "Social Media and Political Participation" (NYU-AD 160J), taught by [Prof. Joshua Tucker](https://files.nyu.edu/jat7/public/index.html) in January 2014 and 2015 at New York University - Abu Dhabi. Click [here](https://files.nyu.edu/jat7/public/POLSC-AD%20160J_Tucker_Syllabus.pdf) to access the syllabus.

There were a total of six different lab sessions. The first two recitations introduced students to statistical analysis using R. The third recitation focused on Twitter: what is it? what data is available through the API? how can we analyze it in R? The fourth session adopted a similar approach, but for Facebook. Session five covered more advanced examples of analyses of social media data, with the goal of providing students with an extensive set of tools to use in their final projects. The final recitation covered additional examples, but was mostly devoted to help students with their projects.

## Lab 1 ##

- [Slides](lab1/lab1_handout.pdf)

- [R script: first steps in R](lab1/lab1_first_steps.R)

- [R script: reading and analyzing data with R](lab1/lab1_data_analysis.R)

- [Example dataset: posts on NYU Abu Dhabi's Facebook page](lab1/lab1_nyu_data.csv)

## Lab 2 ##

- [Slides](lab2/lab2_handout.pdf)

- [R script: univariate data analysis with R](lab2/lab2_univariate_analysis.R)

- [R script: bivariate data analysis with R](lab2/lab2_bivariate_analysis.R)

## Lab 3 ##

- [Slides](lab3/lab3_handout.pdf)

- [R script: collecting Twitter data with R](lab3/lab3_collecting_tweets.R)

- [R script: analyzing Twitter data with R](lab3/lab3_analyzing_tweets.R)

## Lab 4 ##

- [Slides](lab4/lab4_handout.pdf)

- [R script: collecting Facebok data with R](lab4/lab4_collecting_facebook_data.R)

- [R script: analyzing Facebok data with R](lab4_analyzing_facebook_data.R)

## Lab 5 ##

- [Slides](lab5/lab5_handout.pdf)

- [R script: advanced examples of Twitter data analysis with R](lab5/lab5-twitter.R)

- [Example dataset: tweets sent by Sen. John McCain](lab5/senjohnmccain.json)

- [R script: advanced examples of Facebook data analysis with R](lab5/lab5-facebook.R)

- [Example dataset: Facebook posts by Sen. John McCain](lab5/johnmccain.csv)

## Lab 6 ##

- [Slides](lab6/lab6_handout.pdf)

- [R script: more examples of social media data analysis with R](lab6/lab6-examples.R)

- [R script: introduction to crowdsourcing and machine learning](lab6/lab6-coding-task.R)

- [R script: analysis of Instagram data](lab6/lab6-instagram.R)