Papers / Findings Squeaky wheels get the grease. Analysis of policy crowdsourcing for urban planning in California uses natural language processing to show that (1) whether or not citizen contributions are included in policy depended on their “volume and tone,” (2) that the contributing crowd was more representative of the community than elected representatives contributions, and (3)...
October 10, 2016
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