A novel dataset quantifies personnel transitional justice events from 1946 to 2016, measuring their severity during democratization periods. 📊 This research fills a gap by including both post-conflict and post-authoritarian contexts. Unlike existing datasets, our approach disaggregates accountability measures temporally.

📅 Data & Methods

* Covers global transitional justice events (1946-2016).

* Focuses on personnel-based actions during democratization transitions.

* Includes both post-conflict and post-authoritarian contexts previously underrepresented in datasets.

* Enables granular analysis of specific event characteristics over time.

🚀 Key Innovation

The dataset introduces three new measures: severity, urgency, and volatility. These metrics allow researchers to capture different dimensions of transitional justice implementation.

🔍 Implications & Use Cases

Our data complements existing resources like the Varieties of Democracy project.

Researchers can now examine accountability not just as a binary outcome but through its nuanced intensity (severity).

We demonstrate how severity correlates with political stability using regression analysis. This provides empirical insights into whether transitional justice implementation matters regardless of conflict or authoritarian history.

🔎 Why It Matters:

Without comprehensive data, understanding the impact of transitional justice was difficult. Our dataset allows scholars to properly measure and analyze accountability events across different types of societies transitioning from severe past injustices.