Algorithmic amplification in social media tends to

• A. It reduces exposure to all content
• B. Algorithmic amplification increases exposure to certain content, shaping attitudes and participation
• C. It has no effect on opinions
• D. It always lowers engagement

Answer: (B)

Algorithmic amplification in social media works by prioritizing content that is likely to generate engagement, so certain posts are shown to more users. This isn’t about all content being treated equally; the platform learns from signals like likes, shares, comments, and how long people watch a video to decide what to push. As a result, exposed content becomes more visible and familiar, which can influence how people think about topics and whether they join in discussions or actions. The effect depends on how the algorithm is tuned and how users react, so it can both raise or lower attention to different subjects over time. This is why the option describing increased exposure to specific content that shapes attitudes and participation best captures what happens with algorithmic amplification.