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

Tanja Aitamurto, Kaiping Chen, Ahmed Cherif, Jorge Saldivar Galli, Luis Santana

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

15 Citas (Scopus)

Resumen

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' voices depends on the volume and the tone of their demands. A higher demand with a stronger tone results in more policy changes. We also found an interesting and unexpected result: the city government in Palo Alto mirrors more or less the online crowd's voice while citizen representatives rather filter than mirror the crowd's will. While NLP methods show promise in making the analysis of the crowdsourced input more efficient, there are several issues. The accuracy rates should be improved. Furthermore, there is still considerable amount of human work in training the algorithm.

Idioma originalInglés
Título de la publicación alojadaAcademicMindtrek 2016 - Proceedings of the 20th International Academic Mindtrek Conference
EditorialAssociation for Computing Machinery, Inc
Páginas86-94
Número de páginas9
ISBN (versión digital)9781450343671
DOI
EstadoPublicada - 17 oct. 2016
Publicado de forma externa
Evento20th International Academic Mindtrek Conference, AcademicMindtrek 2016 - Tampere, Finlandia
Duración: 17 oct. 201618 oct. 2016

Serie de la publicación

NombreAcademicMindtrek 2016 - Proceedings of the 20th International Academic Mindtrek Conference

Conferencia

Conferencia20th International Academic Mindtrek Conference, AcademicMindtrek 2016
País/TerritorioFinlandia
CiudadTampere
Período17/10/1618/10/16

Huella

Profundice en los temas de investigación de 'Civic CrowdAnalytics: Making sense of crowdsourced civic input with big data tools'. En conjunto forman una huella única.

Citar esto