This project aims to analyze the evolution of abortion discourse in U.S. legislation, particularly between the landmark Roe v. Wade (1973) and Dobbs v. Jackson (2022) decisions, which established and then rescinded abortion as a constitutional right, respectively. We have assembled a dataset of congressional legislation from 1973 to 2024 alongside a dataset of opinions from 13 pivotal Supreme Court cases.

Our main research questions are as follows:

1. What are the main arguments used in favor of and opposed to abortion?
2. How, if at all, has abortion discourse evolved between the two landmark decisions?
3. What Supreme Court cases exert the most influence on congressional legislation?

This project will focus on two main datasets: abortion-related SCOTUS opinions and abortion-related congressional legislation. For congressional legislation, we will explore all legislation from 1973 until 2024. We sourced this legislation from the congress.gov legislation search, where we filtered for any legislation within this period that could have become bills and included the following keywords in the bill text or summary: 'abortion,' 'reproduction,' or 'reproductive health care.' For the SCOTUS abortion legislation, we targeted SCOTUS decisions outlined on supreme.justia.com, which provides a list of abortion-relevant SCOTUS decisions from 1965-2022. From here, we used web-scraping to extract the relevant information for each SCOTUS opinion, including opinion text.

Based on our outlined questions, we expect to apply the following methods:

1. A clustering method to categorize the congressional legislation into three groups: pro-abortion, anti-abortion, and unrelated (noise). We will review and discard the unrelated legislation.
2. Similarly, a clustering method to categorize arguments within SCOTUS opinions as either pro- or anti-abortion.
3. A structural topic modeling on the two relevant clusters to explore the evolution of arguments for and against abortion over time. Due to the absence of specific dates on the legislation, we will use the congressional session number as a temporal reference.
4. A named-entity recognition model for extracting referenced individuals, other congressional legislation, and most importantly, the relevant supreme court cases.

We plan to use them as benchmarks to categorize legislative sessions. For example, if a case on abortion was adjudicated in 2010 and another in 2015, we would assess the semantic, tonal, and linguistic similarities among all congressional legislation enacted between those years. Our hypothesis posits that the substance of Supreme Court opinions significantly influences abortion-related legislation from the time of their issuance until a subsequent opinion emerges. We will also determine which opinions, aside from Roe and Dobbs, exert the most influence on legislative documents. Finally, as a stretch goal, we will create a network graph that centers around the SCOTUS opinions and links out to pieces of congressional legislation.

• Python version: ^3.11
• Poetry

• Create a data folder at the path abortion-legislation-analysis/legislation_analysis/data.
• In the data folder, create the following subfolders: api, cleaned, raw, processed.

1. Request an API key from https://api.congress.gov/sign-up/.
2. Save your API key as an environment variable, naming it CONGRESS_API_KEY.

   1. For MacOS:

      1. Open Terminal.
      2. Open the zsh configuration file by running open ~/.zshrc. This command will open the file in your default text editor. If the file doesn't exist, it will create a new one.
      3. Add your API key by typing export CONGRESS_API_KEY=value in the file. Replace value with your API key.
      4. Save the file and exit the text editor.
      5. Apply the changes by running source ~/.zshrc in the terminal. This will reload your zsh configuration with the new variable.

   2. For Windows:

      1. Open command prompt as administrator a. Search for 'cmd' in the Start menu, right-click on 'Command Prompt', and select 'Run as administrator'.
      2. Run setx CONGRESS_API_KEY "value". Replace value with your API key.
      3. Close and reopen the command prompt to see the changes take effect.

   3. Download the search results from this link.

      1. The congressional legislation search was done by filtering for legislation that included the following keywords in the bill title or summary: "abortion", "reproductive healthcare", "reproduction."
      2. The search-only includes those bills that could become laws.
      3. In downloading the search results, choose the following attributes: Title, Latest Summary, and Amendment Text (Latest).

1. Go into the base directory of the repository and type poetry shell into the terminal.
2. Use the make run command.

• Any modules should be added via the poetry add [module] command.
  • Example: poetry add black

• make lint: Runs pre-commit
• make run: Runs the main function in the legislation_analysis folder