The technical achievement of gaining algorithmic control for research purposes highlights ongoing battles over platform transparency. Scientists need API access and system entry points that platforms often resist providing, fearing independent research might reveal inconvenient truths about algorithmic harms.
The research team from multiple universities developed capabilities to analyze and manipulate X feeds for over 1,000 users during the 2024 presidential election. This required either cooperation from the platform or independent technical capabilities to interface with platform systems—access that remains rare and contested.
Platforms have recently reduced API access and raised barriers to independent research. Changes to data access policies, pricing structures, and technical capabilities have made external research more difficult precisely as concerns about platform effects have intensified. This creates suspicions that companies want to control research findings.
The importance of research independence emerges clearly from this study. Researchers found evidence of substantial algorithmic harms that platforms likely knew about from internal research but never disclosed publicly. Without independent investigation, these harms might have remained hidden behind corporate confidentiality.
Ensuring continued research access might require regulatory mandates. Platforms could be required to provide qualified researchers with API access sufficient for studying platform effects. They could be prohibited from restricting research access arbitrarily. Or they could face requirements to fund independent research institutes studying their societal impacts. Without such requirements, platforms will likely continue restricting access that might generate inconvenient findings about algorithmic harms they profit from.