Social media distorts perceptions of norms (2024)

Impact on youth, parenting, and regulation

• Several commenters describe limiting or banning smartphones and unmonitored internet for children, framing it as straightforward harm reduction.
• Others argue bans (e.g., under-16 in Australia) won’t work well; kids will evade them via smaller or new platforms.
• There’s disagreement on whether youth should be sheltered until 16 or taught to navigate online life from early childhood.
• Some see social media as adding little societal value and support much stricter limits or outright bans.

Algorithms, extremity, and “false norms”

• Many agree with the paper: a small number of highly extreme users post disproportionately, making fringe views appear normal.
• Algorithms and ad-driven “attention economy” are blamed for prioritizing provocative, negative, or hostile content; moderate views are rarely visible and often punished.
• Others note that even non‑algorithmic platforms (e.g., Mastodon) still feel highly distorted, suggesting algorithms aren’t the only cause.
• A recurring theme: some online spaces look like they’re dominated by people with extreme or unstable behavior, not a cross-section of the public.

Norms, bubbles, and social construction

• One camp emphasizes “false norms”: social media presents a narrow slice of opinions as if they were society-wide.
• Another stresses that different communities naturally develop different norms; labeling them “false” shows bias toward a presumed mainstream.
• Several participants highlight how users wrongly universalize their niche community’s norms and are shocked by offline majorities (e.g., elections, polling on a CEO assassination).

Platform differences and what counts as social media

• Debate over whether forums like Hacker News and Reddit are “social media” or distinct from ad‑ and algorithm‑driven feeds.
• Some argue any user‑generated, socially networked site fits; others emphasize that recommendation algorithms and engagement optimization are the key dividing line.

Political and cultural skew

• Multiple examples: Reddit perceived as far more left-leaning than national electorates; Twitter/X shifting from one ideological echo chamber to another.
• Commenters note how specialized communities (programming, fandoms) get pulled into culture‑war topics, crowding out their original focus.