This project has two parts to it.
Data is scraped from PolitiFact that includes how truthful political statements/comments made by political figures or social media are. This data is saved to politifact.csv.
17636 rows x 4 columns
ruling - the ruling of truthfulness
name - name of person or group making the statement
quote - the statement itself
description - information about where this quote is from and the date it was said
The dataset will be used to create a model that can help figure out how truthful political news/commentary is. I am working on cleaning the data and processing categorical data, and plan to start with using Tensorflow to train a model.
Packages required to run the code is defined in requirements.txt.
If you are using pip, you can install these dependencies with the command pip install -r requirements.txt. Using a python environment such as conda or venv is recommended
This dataset was generated on November 2, 2024. You can run main.py to regnerate the dataset with the newest content from PolitiFact. The script may take up to a minute to run, and does not produce output in the console until completion.