Social Media Addiction and Mental Health Tracking Dataset

Kaggle hosts a dataset tracking digital behavior and mental health indicators. The data likely contains measures related to anxiety, depression, and dopamine addiction. The author, organization, and specific data volume are unknown.

Use Cases

• Predicting anxiety levels based on digital behavior patterns mentioned in the description
• Analyzing correlations between depression and social media usage metrics
• Modeling dopamine addiction risk from tracked behavioral data
• Developing AI-driven interventions for digital wellbeing based on behavioral indicators

Strengths

• Focuses on the contemporary topic of social media's impact on mental health
• Tracks multiple related psychological constructs: anxiety, depression, and dopamine addiction

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

Kaggle