https://github.com/dylanirlbeck/ethical-moderation-lab

The lab code for Ethical Moderation, a programming-based ethics assignment that illustrates the ethical issues with content moderation.
https://github.com/dylanirlbeck/ethical-moderation-lab

education ethics

Last synced: 2 days ago
JSON representation

The lab code for Ethical Moderation, a programming-based ethics assignment that illustrates the ethical issues with content moderation.

• Host: GitHub
• URL: https://github.com/dylanirlbeck/ethical-moderation-lab
• Owner: dylanirlbeck
• Created: 2021-04-08T05:43:32.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-06-02T14:59:46.000Z (over 3 years ago)
• Last Synced: 2024-11-14T08:46:35.971Z (2 months ago)
• Topics: education, ethics
• Language: Jupyter Notebook
• Homepage: https://dylanirlbeck.github.io/ethical-moderation/project
• Size: 558 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Ethical Moderation Lab

[Ethical Moderation](https://dylanirlbeck.github.io/ethical-moderation/project) is a programming project that forces students to grapple with the ethics of content moderation. The project was built for students, by students, and it is designed to be open-source: we want to be part of a larger wave of revamped ethics education in computer science.

This repository contains the coding portion of the project. Students will use Python and Jupyter Notebook to construct a working content moderation algorithm and contemplate its efficacy.

## Setup

First, clone the repo (or download and unzip):

```

git clone https://github.com/dylanirlbeck/ethical-moderation-lab.git

```

Navigate to the project directory:

```

cd ethical-moderation-lab

```

Install required packages:

```

pip install -r ./requirements.txt

```

## Running

This project relies on [Jupyter Notebook](https://jupyter.org/install) for running the code. After ensuring you have it downloaded, run

```

jupyter notebook

```

and open the `code.ipynb` file. The rest of the lab is completed inside the notebook. (If you haven't used Jupyter Notebook before, you can read a [quick-start tutorial](https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/execute.html) or its [official documentation](https://jupyter-notebook.readthedocs.io/en/stable/#).)