Measure Harmful Content Impact with Key Metrics
Company: Meta
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Technical Screen
##### Scenario
A social-media platform needs to quantify the business impact of harmful or inappropriate user-generated content.
##### Question
How would you measure the severity and prevalence of harmful content issues on the platform? Which specific metric(s)—for example, View Prevalence—would you choose, and why? Discuss advantages, limitations, and any complementary metrics you would track.
##### Hints
Tie metrics to user exposure and business risk; compare incidence-based vs. view-weighted rates; address severity buckets, trade-offs, and measurement latency.
Quick Answer: This question evaluates a data scientist's competency in measurement design, metric selection, and quantifying the business impact of harmful user-generated content within a policy severity taxonomy, emphasizing exposure, prevalence, and operational monitoring.