# Sharing and Caring: Creating a Culture of Constructive Criticism in Computational Legal Studies

arXiv: https://arxiv.org/abs/2205.01071 · HTML: https://mlsanity.com/paper/2205.01071/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 31 references that are in the map.
- First posted on arXiv 19 Apr 2022.

## Builds on (most cited first, 4 of 4)

- [Datasheets for Datasets](https://mlsanity.com/paper/1803.09010/) (2018)
- [The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence](https://mlsanity.com/paper/2201.03954/) (2022)
- [Computing Environments for Reproducibility: Capturing the "Whole Tale"](https://mlsanity.com/paper/1805.00400/) (2018)
- [Principles for data analysis workflows](https://mlsanity.com/paper/2007.08708/) (2020)

## Built on by (most cited first, 1 of 1)

- [Natural Language Processing in the Legal Domain](https://mlsanity.com/paper/2302.12039/) (2023)

## Abstract (arXiv)

We introduce seven foundational principles for creating a culture of constructive criticism in computational legal studies. Beginning by challenging the current perception of papers as the primary scholarly output, we call for a more comprehensive interpretation of publications. We then suggest to make these publications computationally reproducible, releasing all of the data and all of the code all of the time, on time, and in the most functioning form possible. Subsequently, we invite constructive criticism in all phases of the publication life cycle. We posit that our proposals will help form our field, and float the idea of marking this maturity by the creation of a modern flagship publication outlet for computational legal studies.