Asked by Sam
3 research questions about social media
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1) How does average daily time spent on image-focused platforms (Instagram, TikTok) relate to changes in depressive symptoms and body‑image dissatisfaction among adolescents (ages 13–18) over one year, after controlling for baseline mental health and offline social support?
- Why it matters: addresses youth mental health and temporal directionality.
- Suggested method: longitudinal cohort study with repeated surveys and validated scales.
2) What is the comparative effectiveness of platform-applied fact-check labels versus user-generated corrective replies in reducing belief in and resharing of health-related misinformation on Facebook?
- Why it matters: informs moderation and design choices to combat misinformation.
- Suggested method: randomized controlled experiment using realistic misinformation posts and follow-up measures of belief and sharing intent.
3) To what extent does algorithmic content personalization increase political homogeneity in users’ information diets and contribute to affective polarization among politically active users over six months?
- Why it matters: tests the role of recommender systems in creating echo chambers.
- Suggested method: field experiment or observational study combining platform exposure logs, network/content analysis, and pre/post measures of affective polarization.
- Why it matters: addresses youth mental health and temporal directionality.
- Suggested method: longitudinal cohort study with repeated surveys and validated scales.
2) What is the comparative effectiveness of platform-applied fact-check labels versus user-generated corrective replies in reducing belief in and resharing of health-related misinformation on Facebook?
- Why it matters: informs moderation and design choices to combat misinformation.
- Suggested method: randomized controlled experiment using realistic misinformation posts and follow-up measures of belief and sharing intent.
3) To what extent does algorithmic content personalization increase political homogeneity in users’ information diets and contribute to affective polarization among politically active users over six months?
- Why it matters: tests the role of recommender systems in creating echo chambers.
- Suggested method: field experiment or observational study combining platform exposure logs, network/content analysis, and pre/post measures of affective polarization.
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