Project 4β Teams Up with the University of Chicago Researcher

Gabija Birgile

Last updated on

2025-06-16

2 min read

AI Summary:

Project 4β partnered with a University of Chicago researcher to investigate algorithmic reduction, or shadowbanning, on digital platforms. This collaboration provided tools for large-scale public web data collection, enabling the researcher to detect nuanced patterns of content suppression and bring transparency to these hidden mechanisms.

We’re happy to announce that our pro bono initiative Project 4β has partnered with Grace Shao, a Master’s student in Computational Social Science at the University of Chicago. Grace is investigating algorithmic reduction - commonly referred to as shadowbanning - to better understand how digital platforms suppress content without notifying users. Her work leverages public web data to explore how such hidden mechanisms shape online experiences and limit transparency.

Research Goals

Grace’s research focuses on exposing the intentional opacity of algorithmic reduction. Social media platforms benefit from suppressing content in ways that evade user awareness, making it difficult to assess accountability or fairness. Her primary goal in collecting public web data is to chip away at this opacity and bring some transparency to algorithmic reduction.

She views access to public web data as a critical counterweight to the information asymmetry between platforms and researchers. As industry and academic interests increasingly diverge, data accessibility ensures that platforms remain subject to public scrutiny.

Challenges and the Role of Project 4β

The main obstacle in Grace’s research has been the platforms themselves. Many are designed to limit data collection efforts, particularly those that could reveal problematic content moderation practices.

Without proxies, I found that my rate of data collection was heavily limited. Proxies helped me collect the data I needed in a timely manner. Project 4β has given me access to tools that allow me (a single person!) to level the playing field a small but meaningful amount.

Grace Shao, a Master’s student in Computational Social Science at the University of Chicago

Outcome

Grace was able to collect a dataset large enough to perform sophisticated analyses - enabling her to train models capable of detecting nuanced signs of algorithmic reduction. These insights would have remained hidden without access to public web data at scale.

Project 4β is the only reason I was able to collect the data I needed for the results I found.

Grace Shao, a Master’s student in Computational Social Science at the University of Chicago

This research offers a rare glimpse into how content can be quietly suppressed online, without users even realizing it. Thanks to the scale of the data she collected, Grace was able to uncover patterns that would have otherwise gone unnoticed. As conversations about free speech and protest rights grow louder, her work is a timely reminder of the importance of independent research in holding platforms to account.

Join 4β

Project 4β continues to support researchers and mission-driven organizations by offering free access to Oxylabs’ web intelligence collection solutions. If you're working on a research project that uses public web data, reach out to us via 4beta@oxylabs.io or by filling a form.

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About the author

Gabija Birgile

Senior PR Manager

Gabija Birgile is a Senior PR Manager at Oxylabs. After working in a PR agency and juggling various projects for quite some time, she wanted to try a role in the tech industry. Making a positive impact with her work was always on top of her mind, so managing "Project 4β" pro bono partnerships now definitely does the job. If you have a project in mind, drop her a message at 4beta@oxylabs.io.

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