This module provides an introduction to data visualization, which will help you take the first steps toward visualizing and interpreting your own data set. Begin by reading the following article, which discusses the importance of creating a coherent story about your data: Nantais, Joel. “Can You Tell Your Data Story?: A Simple Way to Improve […]
Lessons
Module 4.2: Intro to Orange
As you have been working through this course, you have heard about the challenges of Twitter data collection, some of the ethical questions surrounding using and publishing on the data, looking into your university’s IRB requirements for working with social media data, and so forth. You’ve gotten a lot of good information on social media […]
Module 4.3: Intro to Gephi
Module 4.3 continues the introduction of tools for visualization and analysis with Gephi. Before beginning this module, continue developing your understanding of the graphical representation of data by reading the following article: Wickham, Hadley. “A Layered Grammar of Graphics.” American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America Journal of Computational […]
Module 4.4: Data Analysis
Module 4.4 explores the process of analyzing and publishing with Twitter data, as well as providing an overview of Critical Discourse Analysis. Before beginning the module, read the following article, which explains the process of coding data composed on non-text sources like images, gifs, etc, which you will likely encounter in your online data. Pennington, […]
Module 5.1: Intro and Making Bots
The final module, 5.1, will introduce you to the presence and purpose of bots online. Bots can impact your data, and are thus important to understand as you move forward with your research. Before beginning this module, read the following articles: Holmes, Steve and Rachael Graham Lussos. “Cultivating Metanoia in Twitter Publics: Analyzing and Producing […]
