What is it about?
Social media feeds strongly influence what people see, read, and believe, yet it is increasingly difficult for independent researchers to study how these ranking systems shape public opinion. This paper explains how researchers can run real-world experiments on social media feeds without needing permission from the platforms themselves. By using a browser extension, researchers can temporarily reorder posts, reduce the visibility of certain content types, or test alternative feed designs while users browse as usual. The paper provides practical guidance on how to build these tools, measure their effects, and protect participant privacy. By making this process transparent, the work aims to support independent research on the societal impact of social media and help design healthier online information environments.
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Why is it important?
This work offers a concrete, reproducible solution at a moment when platform access for academic research is shrinking. By enabling independent, real-world testing of feed algorithms, this approach can strengthen transparency, support evidence-based platform design, and expand research on the societal impact of social media.
Perspectives
We developed this method to run a field experiment on X designed to re-rank potentially polarizing content (10.1126/science.adu5584). Given the urgency of understanding how social media feeds shape public discourse, we felt it was critical to make this approach as accessible as possible to support independent research. We wrote this article with that goal in mind: to enable researchers to rigorously investigate the impact of social media feeds on individuals and society.
Tiziano Piccardi
Johns Hopkins University
Read the Original
This page is a summary of: Reranking Social Media Feeds: A Practical Guide for Field Experiments, ACM Transactions on Social Computing, March 2026, ACM (Association for Computing Machinery),
DOI: 10.1145/3800557.
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