ArticleScientific data2023
LocalView, a database of public meetings for the study of local politics and policy-making in the United States.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- A dataset of tabulated results from American ranked-choice voting elections.Scientific data · 2026Article
- MapAgora, civic opportunity datasets for the study of American local politics and public policy.Scientific data · 2025Article
- City-Defined Neighborhood Boundaries in the United States.Scientific data · 2025Article
- GERDA: The German Election Database.Scientific data · 2025Article
- Lifestyle versus social determinants of health in the Dutch parliament: An automated analysis of debate transcripts.SSM - population health · 2023Article
- LocalView, a database of public meetings for the study of local politics and policy-making in the United States.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the fundamental importance of American local governments for service provision in areas like education and public health, local policy-making remains difficult and expensive to study at scale due to a lack of centralized data. This article introduces LOCALVIEW, the largest existing dataset of real-time local government public meetings-the central policy-making process in local government. In sum, the dataset currently covers 139,616 videos and their corresponding textual and audio transcripts of local government meetings publicly uploaded to YouTube-the world's largest public video-sharing website-from 1,012 places and 2,861 distinct governments across the United States between 2006-2022. The data are processed, downloaded, cleaned, and publicly disseminated (at localview.net ) for analysis across places and over time. We validate this dataset using a variety of methods and demonstrate how it can be used to map local governments' attention to policy areas of interest. Finally, we discuss how LOCALVIEW may be used by journalists, academics, and other users for understanding how local communities deliberate crucial policy questions on topics including climate change, public health, and immigration.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.