https://github.com/huacenxu/covid-morality

Research Project
https://github.com/huacenxu/covid-morality

coronavirus covid-19 nlp nlp-machine-learning

Last synced: 14 days ago
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Research Project

• Host: GitHub
• URL: https://github.com/huacenxu/covid-morality
• Owner: huacenxu
• Created: 2021-11-02T18:25:12.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-12-28T21:05:02.000Z (about 2 years ago)
• Last Synced: 2023-10-07T18:38:14.758Z (over 1 year ago)
• Topics: coronavirus, covid-19, nlp, nlp-machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 8.57 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## COVID MORALITY

### Introduction

This repository includes code and trained models corresponding to our research on covid morality (please run the notebooks in sequence). Our research explores the relationship between morality and audience engagement on Covid-19 related issues. We generated a liberty dictionary and then generate post level liberty score. This allows us to quantify liberty morality, which is missing in the extended moral foundation dictionary (eMFDs). 

An ealier version of this research has been prestend at the ICA conference at Pairs, France (Virtual). When using this repository, please considering give it a star (top right corner) and citing below: 

Yilang Peng & Huacen Xu(2022). "Pandemic Politics, Moralized: How Morality Predicts Audience Engagement with COVID-19 Messages from Partisan and Science Media on Facebook". Presented at 72nd Annual ICA Conference, Paris, France (virtual). 

### Data

We extracted textual data from Facebook public pages, then transformed and loaded them into a python notebook. The data is here. 

### Install

We used the Anaconda navigator to run the python notebook (version: 6.4.8). No other software is needed to run the code.