Despite the ubiquity of algorithmic selection in people’s digital lives, the models are often opaque to both the content creators who rely on them as well as the people who are served their results. Policy debates grapple with questions around transparency in and accountability for how digital platform algorithms function, including how they find, select and prioritize accurate, evidence-based content. Addressing these challenges requires balancing the importance of transparency with the potential risk that the information could be manipulated for political or commercial interests.
CNTI has identified algorithmic accountability as one of six topic areas to address, with the aim of promoting more informed global policy discussions and solutions.
Algorithms & Quality News
How can we ensure that algorithms identify and promote fact-based, independent journalism?
Enhancing Algorithmic Transparency
How can public policy enhance algorithmic transparency and accountability while protecting against political or commercial manipulation?