PUBLICSPEAK: Hearing the Public with a Probabilistic Framework in Local Government

• URL: http://arxiv.org/abs/2503.11743v1
• Date: Fri, 14 Mar 2025 17:04:36 GMT
• Title: PUBLICSPEAK: Hearing the Public with a Probabilistic Framework in Local Government
• Abstract summary: We propose PUBLICSPEAK, a probabilistic framework which can discover public remarks in local government meetings.<n>We evaluate our approach on a novel dataset of local government meetings and find that PUBLICSPEAK improves over state-of-the-art by 10% on average, and by up to 40%.
• Score: 0.01499944454332829
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Local governments around the world are making consequential decisions on behalf of their constituents, and these constituents are responding with requests, advice, and assessments of their officials at public meetings. So many small meetings cannot be covered by traditional newsrooms at scale. We propose PUBLICSPEAK, a probabilistic framework which can utilize meeting structure, domain knowledge, and linguistic information to discover public remarks in local government meetings. We then use our approach to inspect the issues raised by constituents in 7 cities across the United States. We evaluate our approach on a novel dataset of local government meetings and find that PUBLICSPEAK improves over state-of-the-art by 10% on average, and by up to 40%.

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