Our project introduces a new way to visualize News and conversations related to Covid-19 on Twitter. Users can navigate through our map and click on geolocated pins to read the main News and conversations from that area. These information will be collected and updated hourly.
So, as we know about where the main questions come from, and what are the main doubts, we can build solutions and inputs. And as we share and display this solutions on a map, accessible for all, more people can build solutions and inputs on your own to help his community, neighbourhood. Cause, as Einstein once said, it's not the answer that enlightens, but the questions. And we know where to find a lot of them.
The internet was built on the principles of collective intelligence. And we believe knowledge should be come from the people and for the people.
So, as we team up, we first brainstormed how we could use this teory to address COVID-19 related issues. Furthermore, we studied and analised the pain points related to COVID-19 to stablish the project parameters.
Then, we've decided that we wanted to build an intelligence that would analyse the COVID-19 main points of discussion on the web, to generate insights and offer related news and points of discussions. For instance, if in Brazil the main topic of the day is "How to wash hands properly" our system will suggest correlated news about this topic and report the theme as debatable point. Using the google maps system we can display the main focus of conversations and insights worldwide.
For that, we used R language to extract and collect data of the main COVID-19 related discussions trends and news on Twitter, and we integrated in the Google Maps system, using an extension (GG Maps). And using language analyses, social listening and machine learning we built a huge and integrated notification map.
https://docs.google.com/presentation/d/1mGIeNNdxS7HR1egJ66-eVSec4d3UfgY-NWS4X6SJWmA/edit?usp=sharing