![]() ![]() A survey of web information extraction systems. Ĭhang, C., Kayed, M., Girgis, M., Shaalan, K., et al. Specialist meeting in future direction of spatial demography. Future directions in spatial demography (Resource document). Enhancing resolution of population distribution data in spatial, temporal, and sociocultural dimensions: Advances and challenges (Resource document). Applied Psychology: An International Review, 55(3), 303–332.īhaduri, D. Immigrant youth: Acculturation, identity, and adaptation. Los Angeles, CA.īerners-Lee, T., Hendler, J., Lassila, O., et al. Statistics in Medicine, 18, 497–525.īarreto, M., DeFrancesco-Soto, V., Merolla, J., & Ramirez, R. Geographically masking health data to preserve confidentiality. Why is there still a controversy about adjusting the census for undercount. Who counts? The politics of census-taking in contemporary America. This process is experimental and the keywords may be updated as the learning algorithm improves.Īnderson, M. These keywords were added by machine and not by the authors. Web demographics must be used cautiously in light of the uncertainty of web demographics (e.g., digital divide), privacy issues, and other societal impacts. More research and development are needed to enhance extraction rules, identify and remove erroneous enumeration (e.g., duplicate, fictitious, and incomplete records), validate the coverage and accuracy of web demographics, and explore potential applications. The main objectives of this chapter are to (1) examine web demographics as an example of VGI and (2) explore the research agenda of web demographics. The emergence of web technologies such as mash-ups, web mapping, and webscraping presents opportunities to capitalize on the availability of web demographics and opens up new frontiers of research. People-finder sites gather such data and provide user interfaces for Internet users to query web demographics. In the digital era, personal data, such as full name, address, age, phone number, and household members, may scatter across various administrative records, databases of private companies, and social networks, as well as through information contributed as volunteered geographic information (VGI). ![]()
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