TL;DR
This paper introduces an interactive discovery system for online petitions in Madrid, aiming to improve user engagement and support petition growth through enhanced data visualization and topic exploration.
Contribution
It presents a novel interactive system that enhances petition discovery and engagement, addressing limitations of previous interface designs and ranking algorithms.
Findings
Improved petition visibility and user engagement.
Enhanced understanding of petition topics through visualization.
Potential to address societal challenges via data visualization.
Abstract
Decide Madrid is the civic technology of Madrid City Council which allows users to create and support online petitions. Despite the initial success, the platform is encountering problems with the growth of petition signing because petitions are far from the minimum number of supporting votes they must gather. Previous analyses have suggested that this problem is produced by the interface: a paginated list of petitions which applies a non-optimal ranking algorithm. For this reason, we present an interactive system for the discovery of topics and petitions. This approach leads us to reflect on the usefulness of data visualization techniques to address relevant societal challenges.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
