Using Polarization and Alignment to Identify Quick-Approval Law Propositions: An Open Linked Data Application
Keywords: Data Analysis; Legal informatics; Linked Open Data; Polarization; Political alignment
Abstract
Since the return of democracy in 1990 until the end of 2020, Chileâs Congress has processed and approved 2404 laws, with an average processing time of 695 days from proposal to official publication. Recent political circumstances have given urgency to identifying those law propositions that might be shepherded to faster approval and those that will likely not be approved. This article proposes to classify law proposals, as well as parliamentarians and political parties, along two axes: polarization (lack of agreement on an issue) and (political) alignment (intra-party coincidence of a groupâs members regarding specific opinion), yielding four quadrants: (a) âideological stanceâ (high polarization, high alignment), (b) âpersonal interestsâ (high polarization, low alignment), (c) âthematic interestâ (low polarization, low alignment), and (d) âtechnical consensusâ (low polarization, high alignment). We used this scheme to analyze an existing open-linked dataset that records parliamentariansâ political parties and their voting on law proposals during 1990â2020. A simple visualization allows identifying a large set of propositions (1,643 = 68%) with technical consensus (i.e., low polarization and high alignment), which could have been quickly shepherded to approval, but instead took 687 days on average (i.e., essentially the same time as others). Wider adoption of this analysis may speed up legislative work and ultimately allow Congress to serve citizens more promptly.
Más información
| Título según SCOPUS: | Using Polarization and Alignment to Identify Quick-Approval Law Propositions: An Open Linked Data Application |
| Título de la Revista: | Communications in Computer and Information Science |
| Volumen: | 1874 |
| Editorial: | Springer Science and Business Media Deutschland GmbH |
| Fecha de publicación: | 2024 |
| Página final: | 137 |
| Idioma: | English |
| DOI: |
10.1007/978-3-031-46813-1_9 |
| Notas: | SCOPUS |