COVID-19 Digital Observatory: Difference between revisions
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[[File:Novel Coronavirus SARS-CoV-2.jpg|thumb|300px|right|Microscopy image of the virus which causes COVID-19.]] | [[File:Novel Coronavirus SARS-CoV-2.jpg|thumb|300px|right|Microscopy image of the virus which causes COVID-19.]] | ||
This page documents | This page documents a ''digital observatory'' project that aims to collect, aggregate, distribute, and document public social data from digital communication platforms in relation to the [[:wikipedia:2019–20 coronavirus pandemic|2019–20 coronavirus pandemic | ||
]]. | ]]. The project is being coordinated by the [[Community Data Science Collective]] and [https://pushshift.io/ Pushshift]. | ||
As | == Overview and objectives == | ||
As people struggle to make sense of the COVID-19 pandemic, many of us turn to social media and [[:wikipedia:Social_computing|social computing systems]] to share information, to understand what's happening, and to find new ways to support one another. We are building a digital observatory to understand where and how people are talking about COVID-19-related topics. The observatory collects, aggregates, and distributes social data related to how people are responding to the ongoing public health crisis of COVID-19. The public datasets and freely licensed tools, techniques, and knowledge created through this project will allow researchers, practitioners, and public health officials to more efficiently gather, analyze, understand, and act to improve these crucial sources of information during crises. | |||
==Announcements== | ==Announcements== |
Revision as of 18:36, 27 March 2020
This project page is currently under construction. |
This page documents a digital observatory project that aims to collect, aggregate, distribute, and document public social data from digital communication platforms in relation to the 2019–20 coronavirus pandemic . The project is being coordinated by the Community Data Science Collective and Pushshift.
Overview and objectives
As people struggle to make sense of the COVID-19 pandemic, many of us turn to social media and social computing systems to share information, to understand what's happening, and to find new ways to support one another. We are building a digital observatory to understand where and how people are talking about COVID-19-related topics. The observatory collects, aggregates, and distributes social data related to how people are responding to the ongoing public health crisis of COVID-19. The public datasets and freely licensed tools, techniques, and knowledge created through this project will allow researchers, practitioners, and public health officials to more efficiently gather, analyze, understand, and act to improve these crucial sources of information during crises.
Announcements
We will be building out our communication channels over time. If you'd like to receive a copy of any announcements, you can subscribe to our low traffic announcement mailing list. You can subscribe by filling out the form on the list website or by emailing covid19-announce-request@communitydata.science wtih the word 'help' in the subject or body (don't include the quotes). You will get back a message with instructions.
The email list will contain infrequent updates, information about new datasets, and so on.
Access Data
(coming soon)
Our initial data releases from this project will be offered as a minimum starting place. Our goal over time is to expand this project to include more sources of data (including international/non-English information) and searches from more keywords, all delivered more quickly.
Get Help Using Data
(coming soon)
Our project plan includes developing tutorials and demos for the use of the data we release.
Contribute
We are eager for collaborators and committed to working openly.
- Want to contribute to this wiki? Consider creating an account and be bold!
- Want to contribute to our analysis code? Clone our github repository and pitch in with pull requests.
Code of Conduct
We ask that all contributors adhere to the Contributor Covenant.