u/-Vipes-

Hey, folks. I wanted to share a project I started late last year that I finalized over the last week. As this post leans into politics, I am posting it today (Thursday).

Background: Last year, I finished the book The Righteous Mind: Why Good People are Divided by Politics and Religion by Jonathan Haidt and became interested in where sourcing came from for various opinions and leanings. I decided to use the three major subs, r/conservative, r/liberal and r/politics for a bit of a data science project.

The above images are pie charts and statistics of the three of the main political subs on Reddit with their top posted URLs over the span of 6 months.

EDIT: A lot of comments are coming in about the r/liberal sub being such a small group of the overall metrics. And that I also didn't include center left and a ton of other subs. To be clear, it's not hidden that r/liberal is a small data sample. Total URLs was included to highlight that fact. It was picked only because it was the opposite to r/Conservative in name and I wanted 3 subs of varying flavors. This is not intended to be a peer-reviewed analysis of bias, it's not a school project, and this was done only for my own curiosity, along with coding it. It was posted here due to results being interesting to me, and I thought I would share. The above is not meant to convey hard results and should not be taken as such.