# Source: facebook_metrics
**Category:** human predictions
**README generated:** 2025-10-02 12:52:18Z

## Source URL(s)
- https://archive.ics.uci.edu/dataset/368/facebook+metrics

## Citation(s)
- Moro, S., Rita, P., & Vala, B. (2016). Facebook Metrics [Dataset]. UCI Machine Learning Repository. DOI: 10.24432/C5QK55.

## Variables (X → Y)
- interaction(Lifetime Engaged Users,Lifetime People who have liked your Page and engaged with your post) → Total Interactions
- consumption metrics(Lifetime Post Consumers,Lifetime Post Consumptions) → Total Interactions
- impressions(Lifetime Post Impressions by people who have liked your Page,Lifetime Post Total Impressions) → Total Interactions
- reach(Lifetime Post Total Reach,Lifetime Post reach by people who like your Page) → Total Interactions
- comment → Total Interactions
- like → Total Interactions
- share → Total Interactions

## Causal reasoning

This dataset considers the Facebook interactions of a cosmetics brand. In this case, the number of total interactions (effect) is a consequence of different types of interactions and facebook's recommendation algorithm.