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:
-
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.
2 Feb 4, 2022
4 Mar 14, 2022
281 Dec 21, 2022
13 Dec 26, 2021
6 Mar 12, 2022
26 Dec 15, 2022
4 Aug 20, 2022
66 Nov 18, 2022
182 Dec 24, 2022
9k Jan 02, 2023
3 Sep 10, 2021
2 Jul 28, 2022
2 Nov 13, 2021
73 Dec 30, 2022
18 Nov 30, 2022
2 Sep 15, 2022
36 Jan 01, 2023
123 Dec 17, 2022
964 Jan 08, 2023
33 Aug 20, 2021
14 Mar 11, 2021
30 Aug 09, 2022
17 Nov 25, 2022
5 Feb 06, 2022
4 Oct 18, 2022
29 Jan 01, 2023
10 Jun 12, 2022
2 Oct 06, 2021
37 Dec 15, 2022