{"blocks": [{"key": "de2f664e", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5add82d7", "text": "A social-media platform needs to quantify the business impact of harmful or inappropriate user-generated content.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2a8ba0bd", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "46115b1d", "text": "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.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "df6dce61", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f21bb9c2", "text": "Tie metrics to user exposure and business risk; compare incidence-based vs. view-weighted rates; address severity buckets, trade-offs, and measurement latency.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}