BirdwatchVerified account

The role is initially a full-time, 6 month contract position. If you’re interested, or know someone who’s perfect for this, DM us @birdwatch with a link to a resume.

You will: * Develop and conduct analyses of key product metrics * Collab w our team, incl academic partners beyond Twitter, to shape ranking & reputation systems * Conduct analyses to identify ways to improve Birdwatch * Test/develop measures to identify attempted abuse

We’re looking for someone with strong programming skills (Python, R, SQL) and previous experience in data science (preferably in a product-related role). Experience with tools like Presto, BigQuery, Data Studio & Looker are pluses, as is prior work/experience related to misinfo!

Birdwatch is a community-driven approach to addressing misleading information. It’s in a US pilot now. You’ll work closely with research, product, and engineering on analyses and metric development during the pilot. https://twitter.github.io/birdwatch 

We’re looking for a Data Scientist for Birdwatch. Want to help create a better informed world by building tools to help prevent the spread of misleading info? Love finding insights in data? Let’s chat. More details:

We’d love to know what you think of these new nudges. Have they helped you write a note that is rated helpful by others? Share your experience with us by replying to this Tweet or sending us a DM. We love hearing from y’all!

We know that information moves fast and when you see a Tweet you want to add context to, you may want to type and hit “Submit” stat. These nudges will give you the extra second to confirm a note is as informative as it could be with more context and/or a source.

Right now, this feature is only available on the Twitter web app, but we’re working on a solution for mobile so stay tuned! We’re curious: will this update help you Birdwatch more easily? Reply to this Tweet or get in touch via DM. We couldn’t build this without y'all.

We can’t wait to hear what you think! We appreciate an initial gut check or a recap of your first few days using your “Needs your help” tab. As always, our DMs are open.

Learn more about how the “Needs your help” tab works in the Birdwatch Guide: https://twitter.github.io/birdwatch/about/ranking-notes/ …

Why this addition? We want Birdwatch to elevate notes that people from a wide range of perspectives find helpful. In order to do that, notes on Tweets need a more diverse range of feedback. It’s also an easy (but surefire!) way for contributors to have impact.

We hope these updates will further Birdwatch’s goal of helping contributors write, identify and ultimately elevate credible information. Please reach out with any questions and feedback. Our DMs are open and we love hearing from you.

Speaking of ratings, we want people to know when someone finds their note helpful. So you’ll now receive a notification when your note receives its first helpful rating — your phone won’t buzz but you’ll see it in notifications.

As always, for transparency we publish the code that underlies the rating system, so we’ve updated the Birdwatch Guide to reflect the latest: https://twitter.github.io/birdwatch/about/ranking-notes/ …

The goal of these labels is to both identify the most helpful notes, and showcase what makes a note effective (vs. ineffective). It also highlights notes that could use additional input.