Young adults engage with low-quality news content on social media despite stating preferences for high-quality, accurate, and diverse information, and they produce higher-quality feeds when curating for a hypothetical persona.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
support 1representative citing papers
K-Means clustering on 551 survey responses identified 6 groups with distinct patterns linking social media hours to anxiety, depression, loneliness, and sleep quality.
citing papers explorer
-
Understanding the Gap Between Stated and Revealed Preferences in News Curation: A Study of Young Adult Social Media Users
Young adults engage with low-quality news content on social media despite stating preferences for high-quality, accurate, and diverse information, and they produce higher-quality feeds when curating for a hypothetical persona.
-
Uncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning
K-Means clustering on 551 survey responses identified 6 groups with distinct patterns linking social media hours to anxiety, depression, loneliness, and sleep quality.