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10 changes: 10 additions & 0 deletions README.md
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* Identifying at-risk behavior groups and viable local behavior change influencers
* Automating high-precision interventions

## Data

We are collecting, analyzing, and sharing data around:

* COVID Twitter: Who is saying what and when, including around URLs
* Feeds: Correlations against labeled data such as bots, fact checks, and indicators of digital crime
* Scores: Bots, misinformation, crime, likely location, and more

While we cannot publish the raw data due due to compliance restrictions from our data porviders, we are happy to support individual projects, such as for analyzing and predicting real-world compliance of health policies, and identifying bad actors. Please jump into the Slack or contact a project leader on LinkedIn and we'll get you going.

## The interventions

We are working with ethics groups to identify safe interventions along the following lines:
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