CommunityPulse: Facilitating Community Input Analysis by Surfacing Hidden Insights, Reflections, and Priorities

Interactive Data VisualizationCitizen Science & Crowdsourced DataGovernment Officials & Civil Servants

Increased access to online engagement platforms has created a shift in civic practice, enabling civic leaders to broaden their outreach to collect a larger number of community input, such as comments and ideas. However, sensemaking of such input remains a challenge due to the unstructured nature of text comments and ambiguity of human language. Hence, community input is often left unanalyzed and unutilized in policymaking. To address this problem, we interviewed 14 civic leaders to understand their practices and requirements. We identified challenges around organizing the unstructured community input and surfacing community's reflections beyond binary sentiments. Based on these insights, we built CommunityPulse, an interactive system that combines text analysis and visualization to scaffold different facets of community input. Our evaluation with another 15 experts suggests CommunityPulse's efficacy in surfacing multiple facets such as reflections, priorities, and hidden insights while reducing the required time, effort, and expertise for community input analysis.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/dis/60116/2021

AdRecommended

Learn AI Coding at CodeNow

open_in_newOpen DOI Link
DOI: https://dl.acm.org/doi/10.1145/3461778.3462132
At a Glance

Paper Snapshot

fact_check
dataset
Source
DIS
calendar_month
Year
2021
emoji_events
Award
No award tagged
group
Authors
4 authors
sell
Subtopics
Interactive Data Visualization, Citizen Science & Crowdsourced Data
work
Professions
Government Officials & Civil Servants
article
Content Status
Abstract only
hub
Related Papers
0 related papers