This workshop demonstrates an efficient workflow for analyzing media narratives using WordStat. Participants will see how we rapidly transformed raw text data from eight mainstream news outlets into a publishable blog post featuring compelling data visualizations. The dataset includes about 6,400 news sound bites related to the killing of George Floyd and the protests that followed, collected within six days of his death. The session walks through the entire process, from exploratory analysis and hypothesis generation to the construction and validation of a content analysis dictionary, the use of disambiguation techniques, and the application of the dictionary for hypothesis testing and results visualization. This demonstration shows how WordStat鈥檚 features can be seamlessly integrated to perform fast, valid, and insightful comparative analyses on large text collections.
The 45-minute session will conclude with an interactive Q&A session, allowing participants to engage directly with Normand P茅ladeau and gain deeper insights into text analysis.
Speaker
Normand P茅ladeau | Provalis Research
