Product strategy to curb viral false and misleading posts on Facebook

You are a product manager at Meta working on Facebook. False and misleading information spreads on the platform. How would you tackle this problem? Say what you will treat as misinformation, decide where to focus, propose and prioritize solutions, and explain how you would know they are working. ```hint Follow one false post Trace a single false post from the moment it is created to the moment thousands of people have seen it. Who is involved at each step, and where could the product step in at the lowest cost to people who post accurate content? ``` ### Clarifying Questions - What counts as misinformation here: false factual claims, manipulated photos and videos, satire taken literally, scam links dressed up as news? Is political opinion excluded? - Which Facebook surfaces are in scope: Feed, Groups, Pages, Reels, ads? Are Messenger, Instagram and WhatsApp out of scope? - Is the goal fewer views of false content, fewer false posts created, or more trust in what people see, and which wins when they conflict? - Is removing posts on the table, or should the answer rely on reducing distribution, labels and added context? ### What a Strong Answer Covers - A working definition of misinformation that separates false claims from opinion and satire, ranks types by harm, and sets a goal that balances less exposure with free expression. - The actors involved (deliberate sources, unwitting resharers, viewers, reviewers, accurate publishers) and a justified choice of which to focus on. - Interventions placed at specific points in a false post's spread (detection, ranking and distribution, the moment of sharing, labels, reporting, enforcement), prioritized by impact, effort and risk to accurate speech. - An exposure-based success metric with guardrails for false positives, accurate publishers, engagement and perceived fairness. - Risks such as bias accusations, adversaries adapting, the gap between how fast posts go viral and how fast verdicts arrive, and weak coverage in some languages. ### Follow-up Questions - A share-time label cuts reshares of rated-false posts, but a large group of users says the labels are politically biased. How do you respond, and what would you measure? - During a breaking-news event, a false rumor peaks within hours while a verdict takes much longer. What would you do before any verdict exists? - How would your approach change for private groups and encrypted messages, where the platform cannot review content?