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
5 Nov 11, 2021
9 Apr 11, 2022
1.2k Jan 03, 2023
1 Jan 08, 2022
1 Nov 30, 2021
1000 Jan 03, 2023
24 Sep 29, 2022
204 Jan 02, 2023
116.4k Jan 07, 2023
7 Oct 25, 2022
20 Dec 19, 2022
2 Jan 04, 2023
1 Oct 11, 2021
24 Sep 21, 2022
162 Dec 21, 2022
21 Nov 10, 2022
0 Jan 02, 2022
5 Jan 26, 2022
8 May 25, 2022
2 Oct 20, 2021