NDLI: Using social media as a tool for assessing citizens perception of regional development dimensions for policy making

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Using social media as a tool for assessing citizens perception of regional development dimensions for policy making

Content Provider	ACM Digital Library
Author	Santamaria, J. Jaime Sainz Siordia, Oscar S. Moctezuma, Daniela Puron-Cid, Gabriel
Abstract	Evaluating regional development implies the diagnosis of multiple dimensions. Many methodologies have been used to diagnose these dimensions of a particular region in order to conduct analysis and eventually to design or adjust public policies. All these analytical tools have focused on using multiple regional indicators for measuring some development dimensions: income, jobs, housing, education, health, environment, safety, civic engagement, access to services, among others. These tools have been advanced due to the improvements of quality of statistical data and the computational power to analyze these data. In spite of these technical and methodological advances, this study claims that these studies are based on data collected using traditional statistical approaches such as census, surveys and questionnaires which are expensive and difficult to implement in various countries. Another limitation is that these methods do not assess citizens' perception. The objective of this research is to develop an automated tool to assess the perception of citizens about their regional development dimensions by using georeferenced entries in Twitter localized in Mexico. This poster only shows the methodological design of this research, the dimensions and categories to be assessed, and the preliminary results of category of potable water access of the dimension of income/poverty.
Starting Page	338
Ending Page	339
Page Count	2
File Format	PDF
ISBN	9781450336000
DOI	10.1145/2757401.2757463
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-05-27
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Well-being dimensions Local development Social media Citizen perception Regional development
Content Type	Text
Resource Type	Article

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