We provide the code used to produce the analyses and figures of our paper: Detecting Obstacles to Collaboration in an Online Participatory Democracy Platform: A Use-case Driven Analysis. The code can be run in a dedicated Jupyter Notebook:
pip install -r requirements.txt
jupyter notebook ContributorsBehaviorAnalysis.ipynb
@inproceedings{10.1145/3524491.3527307,
author = {Aboucaya, William and Angarita, Rafael and Issarny, Val\'{e}rie},
title = {Detecting obstacles to collaboration in an online participatory democracy platform: a use-case driven analysis},
year = {2022},
isbn = {9781450392921},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3524491.3527307},
doi = {10.1145/3524491.3527307},
booktitle = {Proceedings of the 2nd International Workshop on Equitable Data and Technology},
pages = {25–33},
numpages = {9},
location = {Pittsburgh, Pennsylvania},
series = {FairWare '22}
}