I went straight to defining what 'misleading' actually means and that took longer than I expected because the interviewer kept pushing back.
Start by clarifying the problem scope—what types of misleading videos, which user segments, and what success metrics matter most. Then structure your answer around a user-centric framework: identify root causes, brainstorm solutions across detection, prevention, and education, prioritize based on impact and feasibility, and define how you'd measure success and iterate.
Pro tip: Acknowledge the tension between reducing misinformation and preserving free expression; propose solutions that empower users with context (e.g., information panels) rather than outright removal, and emphasize cross-functional collaboration with policy, legal, and engineering teams.
Ask questions to narrow down the scope: What qualifies as 'misleading'? Is it health, political, or financial misinformation? Which user groups are most affected? What are the key metrics (e.g., prevalence, user trust, engagement)?
Analyze why misleading videos exist and spread: incentives (ad revenue, engagement algorithms), lack of detection at scale, and user behavior (sharing without verification). Consider the ecosystem: creators, viewers, advertisers, and regulators.
Brainstorm interventions across the product lifecycle: detection (AI/ML classifiers, human review), prevention (upload filters, monetization policies), and mitigation (labels, fact-check panels, reducing recommendations). Include user education and creator incentives.
Use a framework like RICE (Reach, Impact, Confidence, Effort) to prioritize solutions. Consider trade-offs: false positives vs. false negatives, scalability, cost, and impact on free expression. Propose a phased rollout with A/B tests.
Establish metrics: reduction in misleading video views, increase in user-reported accuracy, and trust surveys. Set up monitoring and feedback loops to adapt as bad actors evolve.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.