CommunityClick: Capturing and Reporting Community Feedback from Town Halls to Improve Inclusivity
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Abstract (arXiv)
Local governments still depend on traditional town halls for community consultation, despite problems such as a lack of inclusive participation for attendees and difficulty for civic organizers to capture attendees' feedback in reports. Building on a formative study with 66 town hall attendees and 20 organizers, we designed and developed CommunityClick, a communitysourcing system that captures attendees' feedback in an inclusive manner and enables organizers to author more comprehensive reports. During the meeting, in addition to recording meeting audio to capture vocal attendees' feedback, we modify iClickers to give voice to reticent attendees by allowing them to provide real-time feedback beyond a binary signal. This information then automatically feeds into a meeting transcript augmented with attendees' feedback and organizers' tags. The augmented transcript along with a feedback-weighted summary of the transcript generated from text analysis methods is incorporated into an interactive authoring tool for organizers to write reports. From a field experiment at a town hall meeting, we demonstrate how CommunityClick can improve inclusivity by providing multiple avenues for attendees to share opinions. Additionally, interviews with eight expert organizers demonstrate CommunityClick's utility in creating more comprehensive and accurate reports to inform critical civic decision-making. We discuss the possibility of integrating CommunityClick with town hall meetings in the future as well as expanding to other domains.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Sep 2020.
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Citing papers per year: 2024: 1; 2025: 2.
3 papers.
- 2025Human-AI Narrative Synthesis to Foster Shared Understanding in Civic Decision-Makingcited by 1
- 2025CHOIR: A Chatbot-mediated Organizational Memory Leveraging Communication in University Research Labscited by 1
- 2024Improving Emotional Support Delivery in Text-Based Community Safety Reporting Using Large Language Modelscited by 0
- 2025CHOIR: A Chatbot-mediated Organizational Memory Leveraging Communication in University Research Labs24 Sep 2025
- 2025Human-AI Narrative Synthesis to Foster Shared Understanding in Civic Decision-Making23 Sep 2025
- 2024Improving Emotional Support Delivery in Text-Based Community Safety Reporting Using Large Language Models24 Sep 2024