According to Abstract 2, what is the typical effect of algorithms?

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BlackTom AI · Accepted Answer

First, let's restate what the question is asking: according to Abstract 2, what is the typical effect of algorithms?
Option a: 'They connect people who live near each other.' This is a plausible effect in some contexts, especially with geolocation-based services, but it does not capture the general, commonly cited tendency described in Abstract 2 about how algorithms tend to group or connect users. So this answer is not aligned with the specific claim in Abstract 2.
Option b: 'They connect people more meaningfully.' While improving connectivity can be a stated goal, the phrase 'more meaningfully' is vague and not the typical effect described by Abstract 2. The standard analysis emphasizes similarity and echoing rather than a qualitative statement about meaningful connections, making this choice inaccurate in this context.
Option c: 'They connect people who are already similar.' This directly matches the commonly discussed idea in Abstract 2 that algorithms tend to reinforce or create connections among users who share similar attributes, preferences, or behaviors, leading to a clustering effect. This aligns with the typical effect described and is the correct interpretation.
In summary, the reasoning hinges on understanding that Abstract 2 emphasizes similarity-based connectivity produced by algorithms, rather than proximity-based connections or an ambiguous claim about 'more meaningful' connections. The other options either mischaracterize the mechanism (proximity-based linking) or overstate the qualitative outcome without specificity to the abstract’s point about similarity-driven connections.

According to Abstract 2, what is the typical effect of algorithms?

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