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In response to the European Commission's Digital Services Act, we submitted comments highlighting the importance of data access for independent research and suggested standards for data access mechanisms.

What we can (and can't) learn from Twitter's partial open-sourcing of its recommendation algorithm.

As a leader in applied data science with high-level experience across Twitter, Meta, and Pew, Messing will leverage his strong technical background and deep knowledge of the platforms to expand CSMaP’s research capacity.

A look at our top articles, events, and more from the past year.

In 2020, Craig Newmark Philanthropies donated $400,000 to support our PhD students, ensuring they could continue their research projects examining some of the biggest questions at the intersection of social media and democracy. Here is an update on what they've been working on this past year thanks to Craig's generous support.

We're committed to supporting open and accessible science, which includes promoting the creation and use of open-source software, providing high-quality replication materials for our publications, and contributing to existing open-source tools and frameworks. To do so, we created an open-source tool to make using transformers easier and explain how to use it here.

Now, there are ways to find out. New data shows that machine learning can identify content created by online political influence operations.

Here’s how we create a healthy research environment for those studying harmful online content.

NYU has established the Center for Social Media and Politics, which will examine the production, flow, and impact of social media content in the political sphere, as well as support research that uses social media data to study politics.