Creating and Analyzing a Dataset of Roe v. Wade Tweets Labeled by Abortion Stance [P]

How do pro-choice vs. pro-life twitter users differ?

I built a free, labeled dataset of #RoeVsWade tweets, and an ML classifier on top.

Some insights:

Pro-life users are 20.4x more likely to put "christ" and 16.1x more likely to put "maga" in their bio.Pro-choice users are 7.5x more likely to put "blm" and 6.5x more likely to put "she/her".

Full analysis + link to raw dataset [here](https://www.surgehq.ai/blog/dataset-of-roe-v-wade-tweets-labeled-by-abortion-stance).

abortion dataset machinelearning