Analysis of the dissemination of fake news about COVID-19 on Twitter
This project was the final work for the discipline of Visual Data Analysis of the Master degree in Mathematical Modelling at EMAp FGV. This work was done in a group: Giovani Valdrighi (me), Lucas Freire and Taisa Calvette. The object was to present a visualization tool to analyze the dissemetion of fake news about COVID-19 on Twitter using data available from Aos Fatos, a brazilian fact checking journal. The final result is available in a Notebook at Observablehq.
Files organization
The files of the project are separated in the following folders:
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notebooks/: Python notebooks that includes an initial exploratory data analysis and the notebook of the topic modelling of tweets. -
docs/: documents with the reports of our project.
Requirements
The final visualization can be view on a browser with no installation, everything is already working at Observablehq. However, the data used is not public, it was solicited to Aos Fatos and a sample was given, so the Notebooks can not be reproduced. Despite that, the code can be useful to re-using it in a different dataset.
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