Social media algorithms prioritize content that generates high engagement, measured by likes, shares, and comments. Research has shown that emotionally provocative content—particularly content inducing anger or outrage—generates significantly higher engagement than neutral informational content. Some researchers warn that this creates incentives for increasingly extreme content, potentially contributing to political polarization.

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reading

The passage suggests that

A

optimization for certain metrics may produce unintended social consequences

B

social media companies intentionally promote political extremism

C

all social media content is emotionally provocative

D

engagement metrics accurately measure content quality

Correct Answer: A

Choice A is the best answer. Optimizing for engagement may incentivize extreme content.

  1. Context clues: Algorithms prioritize engagement; extreme content generates more engagement; consequence may be polarization.
  2. Meaning: The metric (engagement) may encourage unintended outcomes (extremism).
  3. Verify: The "incentives for increasingly extreme content" weren't designed but emerge from the system.

💡 Strategy: When a system optimizes for one thing and produces another effect, infer unintended consequences.

Choice B is incorrect because the consequence is an unintended byproduct, not intentional. Choice C is incorrect because provocative content gets "higher" engagement—implying other content exists. Choice D is incorrect because the passage suggests engagement may promote low-quality divisive content.