Hi all, I recently finished up a project with some classmates of mine and I wanted to show it off. We took a dataset of thousands of conspiracy theory articles -- Miani et al's LOCO Corpus -- and went about analyzing it to find out how different conspiracy theories connect to each other.

I'd encourage everyone to take a look at the full article because there are some fun visualizations in there, but TLDR: We used topic modelling and sentiment analysis to find out what these articles are about and then keyword extraction and pattern mining to learn what conspiracy theories tend to occur together.