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- W4309861986 abstract "Surveys have long been the primary source of data collection about people’s attitudes, beliefs and opinions. They are useful for measuring specific information about individuals, as well as understanding public opinions and creating accurate and precise official statistics. However, survey data collection has been changing disruptively with the advancement of technology, the availability of new and different data sources, and the growing demand for timely dissemination of reliable information. This special issue was planned as a part of the BigSurv20 conference (https://www.bigsurv20.org) and is dedicated to solutions to these challenges, through innovative methodological developments and applications. We were encouraged by the many submissions that covered various topics involving disparate data. We are very pleased to have selected 12 papers and to have them published in this special issue. Data sources considered in this issue’s manuscripts show a great deal of diversity, spanning from survey and Census data to data from administrative sources, web scraping, seismometers, satellite imagery, photographs, digital-trace data, big open-source databases, smartphones, Twitter and Facebook advertising. Readers will see different purposes that these data may be used for, different estimation methods that enable the use of rich information in disparate data sources, and methodological solutions for data integration and estimation, such as machine learning and national language processing. The use of a new data source comes with challenges: assessing total data error, acquiring consent from survey participants for linkage to other data, or tracking their web-browsing behaviours. In what follows, we briefly describe the key contributions of each paper." @default.
- W4309861986 created "2022-11-29" @default.
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- W4309861986 date "2022-11-24" @default.
- W4309861986 modified "2023-09-30" @default.
- W4309861986 title "Big Data Meets Survey Science" @default.
- W4309861986 doi "https://doi.org/10.1111/rssa.12967" @default.
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