Passage Structure and Organization Practice Test
•15 QuestionsPassage:
In debates about online misinformation, one proposal is to rely on automated content moderation to identify and remove false claims at scale. Supporters argue that the volume and speed of social media posts make human review insufficient; machine learning systems, continually updated, could flag misleading content quickly and consistently. The promise is a kind of technical fix to a social problem.
Opponents respond that automated systems struggle with context. Satire, quoted material, and evolving scientific claims can be misclassified, and adversarial actors can learn to evade detection. More fundamentally, critics worry that delegating epistemic authority to opaque algorithms risks suppressing legitimate dissent and entrenching the biases of those who design the models.
Recognizing these concerns, some researchers advocate a hybrid approach. Automation can be used to triage—surfacing likely problems for human reviewers—while platforms invest in transparent appeals processes and in reducing the virality of unverified claims rather than deleting them outright. This approach reframes moderation as risk management under uncertainty, not as the elimination of error.
Question: The primary function of the second paragraph is to…
Passage:
In debates about online misinformation, one proposal is to rely on automated content moderation to identify and remove false claims at scale. Supporters argue that the volume and speed of social media posts make human review insufficient; machine learning systems, continually updated, could flag misleading content quickly and consistently. The promise is a kind of technical fix to a social problem.
Opponents respond that automated systems struggle with context. Satire, quoted material, and evolving scientific claims can be misclassified, and adversarial actors can learn to evade detection. More fundamentally, critics worry that delegating epistemic authority to opaque algorithms risks suppressing legitimate dissent and entrenching the biases of those who design the models.
Recognizing these concerns, some researchers advocate a hybrid approach. Automation can be used to triage—surfacing likely problems for human reviewers—while platforms invest in transparent appeals processes and in reducing the virality of unverified claims rather than deleting them outright. This approach reframes moderation as risk management under uncertainty, not as the elimination of error.
Question: The primary function of the second paragraph is to…