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• W2139252194 startingPage "e0123483" @default.
• W2139252194 abstract "In the social sciences, there is a longstanding tension between data collection methods that facilitate quantification and those that are open to unanticipated information. Advances in technology now enable new, hybrid methods that combine some of the benefits of both approaches. Drawing inspiration from online information aggregation systems like Wikipedia and from traditional survey research, we propose a new class of research instruments called wiki surveys. Just as Wikipedia evolves over time based on contributions from participants, we envision an evolving survey driven by contributions from respondents. We develop three general principles that underlie wiki surveys: they should be greedy, collaborative, and adaptive. Building on these principles, we develop methods for data collection and data analysis for one type of wiki survey, a pairwise wiki survey. Using two proof-of-concept case studies involving our free and open-source website www.allourideas.org, we show that pairwise wiki surveys can yield insights that would be difficult to obtain with other methods." @default.
• W2139252194 created "2016-06-24" @default.
• W2139252194 creator A5040228064 @default.
• W2139252194 creator A5058815871 @default.
• W2139252194 date "2015-05-20" @default.
• W2139252194 modified "2023-10-16" @default.
• W2139252194 title "Wiki Surveys: Open and Quantifiable Social Data Collection" @default.
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• W2139252194 doi "https://doi.org/10.1371/journal.pone.0123483" @default.
• W2139252194 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4439069" @default.
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• W2139252194 hasPublicationYear "2015" @default.
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