When a Meta engineer asked senior management why the company was loosening its content safety standards, the answer was disarmingly honest. “They sort of told us that it’s because the stock price is down,” the engineer recalled.
That single sentence captures something important about how the largest platforms in the world actually make decisions. The framing in public is always about community, connection, expression. The internal logic is about market share, engagement metrics, and quarterly earnings. When those two imperatives collide, a pattern emerges from the testimony of multiple whistleblowers now coming forward: safety loses, and it loses quickly.
A major BBC investigation draws on testimony from current and former employees at both Meta and TikTok, alongside internal research documents, to reveal the structural mechanics of what the report describes as an algorithmic arms race. The allegations are not about rogue employees or individual failures. They describe institutional incentive structures in which engagement is rewarded, safety is under-resourced, and the people who build the algorithms admit they cannot fully control what those algorithms do.
The most revealing detail in the investigation is not a quote. It is a number.
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