NewsUnfold Code

NewsUnravel: Creating a Media Bias Indicating and Feedback Collecting News-Reading Application

Introduction

This repository contains all code and resources from the paper "NewsUnravel: Creating a Media Bias Indicating and Feedback Collecting News-Reading Application". The paper can be found on TODO

Directories

The two distinct applications are separated into the following two directories. Further instructions and information can be found in the respective README.md files.

• feedback-mechanism-study: contains the code, data and evaluation notebooks of the Feedback Mechanism Study.
• newsunravel-platform: contains the code, data and evaluation notebooks of the NewsUnravel Platform.

Local Development

To develop locally you have to configure and run a database and two applications:

Database

Run a PostgreSQL database using your preferred method (bare metal, Docker etc).

Inference API

First, configure and start the Inference API:

• Install Python >=3.10
• Install poetry: pip install poetry
• Install dependencies: poetry install
• Configure the environment variables by copying the apps/inference/.env.example file to apps/inference/.env
• Run poetry run prepare
• Run the app using poetry run inference

Platform

Then, configure and start the Platform:

• Install NodeJS >= 16
• Install yarn: npm i -g yarn
• Install dependencies using yarn install
• Configure the environment variables by copying the apps/inference/.env.example file to apps/inference/.env and adjusting the values
• Run the app using yarn run dev

Training and Evaluation

Run the Jupyter notebooks in the respective evaluation/ subdirectories with an R oder Python 3 kernel (depending on the content).

Citation

Please cite us as:

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