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Social Media Usage and Mental Health Survey Dataset
Public Health & Epidemiology
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Free
About
Explores the relationship between social media usage and mental health, focusing on correlations between time spent on various platforms and mental well-being. Survey data provides insights into social media factors—such as distraction, sleep patterns, and self-comparison—and their impact on mental health.
Features:
- Demographic Information: Age, Gender, Relationship Status, and Occupation of respondents.
- Social Media Usage Habits: Time spent on social platforms (e.g., Facebook, Instagram), frequency of distractions, and purpose of use.
- Mental Health Factors: Levels of restlessness, distraction, self-comparison, validation-seeking behavior, and signs of depression.
Usage:
This dataset can be used to analyze how social media habits impact mental health, particularly among university students. Researchers and mental health professionals can utilize this data to develop predictive models or study patterns that could inform intervention strategies.
Coverage:
The dataset contains responses from university students, focusing on their social media habits and mental health indicators.
License:
CC0 (Public Domain)
Who can use it:
Researchers, psychologists, mental health professionals, and data scientists interested in studying the impact of social media on mental well-being.
How to use it:
The dataset could be used to:
- Develop machine learning models to predict the need for mental health support based on social media usage patterns.
- Study the correlations between specific social media habits and mental health issues like depression and self-comparison.
- Inform policy decisions regarding mental health awareness and social media usage recommendations for young adults.
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