Belief in misinformation causes confusion, reduces trust in authorities and encourages risky behaviours that can cause significant harm to health, as exemplified by the COVID-19 pandemic. Social media platforms have taken several policy measures to address this challenge; working with independent fact-checking companies to label inaccurate content, promoting verified information through prompts of fact-checked articles, or tailoring the algorithm to demote false posts in the newsfeed. But how effective are these measures? I aim to address this issue with a focus on Facebook and its policies to combat health-related misinformation in the context of India. My study has three key goals. First, I will evaluate the effectiveness of specific policies currently used by Facebook to debunk misinformation using an online experiment. Second, I aim to examine policy design tweaks informed by behavioural science to improve the effectiveness of these existing policies. Finally, I will examine how core aspects of users’ identities interact with the content of inaccurate posts to impact the efficacy of the policies, accounting for potential demand-side factors that contribute to the spread of misinformation.