Civic CrowdAnalytics: making sense of crowdsourced civic input with big data tools

@inproceedings{Aitamurto2016CivicCM,
  title={Civic CrowdAnalytics: making sense of crowdsourced civic input with big data tools},
  author={Tanja Aitamurto and Kaiping Chen and A. Cherif and Jorge Saldivar Galli and L. Santana},
  booktitle={AcademicMindtrek '16},
  year={2016}
}
  • Tanja Aitamurto, Kaiping Chen, +2 authors L. Santana
  • Published in AcademicMindtrek '16 2016
  • Political Science, Computer Science
  • This paper examines the impact of crowdsourcing on a policymaking process by using a novel data analytics tool called Civic CrowdAnalytics, applying Natural Language Processing (NLP) methods such as concept extraction, word association and sentiment analysis. By drawing on data from a crowdsourced urban planning process in the City of Palo Alto in California, we examine the influence of civic input on the city's Comprehensive City Plan update. The findings show that the impact of citizens… CONTINUE READING

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