This question evaluates a data scientist's competency in designing and operationalizing an "effective read" metric for heterogeneous newsfeed content, encompassing signal selection, cross-format normalization, core reporting metrics, and experimental validation.

You are tasked with defining and measuring an "effective read" for posts in a social newsfeed that includes text, images, videos, and link posts. The metric will be used both to report user value and as a potential label/feature for ranking.
How would you define and measure an "effective read" on a newsfeed? Specify:
Consider duration, screen coverage, engagement follow-ups, baseline rates, and A/B tests to prove business impact.
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