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

@article{Aitamurto2016CivicCM,
  title={Civic CrowdAnalytics: making sense of crowdsourced civic input with big data tools},
  author={Tanja Aitamurto and Kaiping Chen and Ahmed Cherif and Jorge Saldivar Galli and Luis Santana},
  journal={Proceedings of the 20th International Academic Mindtrek Conference},
  year={2016}
}
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… Expand
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