CitiLink: Enhancing Municipal Transparency and Citizen Engagement through Searchable Meeting Minutes

arXiv cs.CL / 3/30/2026

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Key Points

  • CitiLink is a demo platform that converts unstructured city council meeting minutes into structured, searchable data to improve municipal transparency and citizen/journalist access.
  • The system uses LLM-based information extraction to generate metadata such as discussed subjects, extracted entities, and voting outcomes, which are then indexed to enable full-text search (BM25) and faceted filtering.
  • CitiLink was built using 120 minutes from six Portuguese municipalities, demonstrating feasibility on real municipal documents rather than synthetic data.
  • Usability was assessed via guided sessions with municipal personnel to observe how users interact with the search and filtering interface.
  • The study also evaluates Gemini’s extraction quality, reporting its effectiveness for extracting relevant information from the minutes.

Abstract

City council minutes are typically lengthy and formal documents with a bureaucratic writing style. Although publicly available, their structure often makes it difficult for citizens or journalists to efficiently find information. In this demo, we present CitiLink, a platform designed to transform unstructured municipal meeting minutes into structured and searchable data, demonstrating how NLP and IR can enhance the accessibility and transparency of local government. The system employs LLMs to extract metadata, discussed subjects, and voting outcomes, which are then indexed in a database to support full-text search with BM25 ranking and faceted filtering through a user-friendly interface. The developed system was built over a collection of 120 minutes made available by six Portuguese municipalities. To assess its usability, CitiLink was tested through guided sessions with municipal personnel, providing insights into how real users interact with the system. In addition, we evaluated Gemini's performance in extracting relevant information from the minutes, highlighting its effectiveness in data extraction.

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