Ruby Thelot, a researcher at NYU, argues that online trends are often misinterpreted due to the internet's fragmented nature, leading to an overestimation of their significance. He explains that Goodhart's law applies to virality, where content is optimized for engagement metrics rather than inherent cultural value, creating an illusion of widespread adoption. Thelot also suggests that narratives like "dating burnout" and "heteropessimism" are overblown by cultural commentators, citing data that shows a relatively low percentage of negative content on platforms like Instagram and TikTok. AI
IMPACT Suggests that AI-driven content optimization may be creating a false sense of trend adoption.
RANK_REASON Opinion piece by a researcher discussing online trends and virality.
- Bumble Dating App
- Goodhart's law
- New York Times
- New York University
- Ruby Thelot
- TikTok
- Wired
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