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Wiki Surveys: Open and Quantifiable Social Data Collection
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4439069/ https://www.ncbi.nlm.nih.gov/pubmed/25992565 http://dx.doi.org/10.1371/journal.pone.0123483 |
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author | Salganik, Matthew J. Levy, Karen E. C. |
author_facet | Salganik, Matthew J. Levy, Karen E. C. |
author_sort | Salganik, Matthew J. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4439069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44390692015-05-29 Wiki Surveys: Open and Quantifiable Social Data Collection Salganik, Matthew J. Levy, Karen E. C. PLoS One Research Article 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. Public Library of Science 2015-05-20 /pmc/articles/PMC4439069/ /pubmed/25992565 http://dx.doi.org/10.1371/journal.pone.0123483 Text en © 2015 Salganik, Levy http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Salganik, Matthew J. Levy, Karen E. C. Wiki Surveys: Open and Quantifiable Social Data Collection |
title | Wiki Surveys: Open and Quantifiable Social Data Collection |
title_full | Wiki Surveys: Open and Quantifiable Social Data Collection |
title_fullStr | Wiki Surveys: Open and Quantifiable Social Data Collection |
title_full_unstemmed | Wiki Surveys: Open and Quantifiable Social Data Collection |
title_short | Wiki Surveys: Open and Quantifiable Social Data Collection |
title_sort | wiki surveys: open and quantifiable social data collection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4439069/ https://www.ncbi.nlm.nih.gov/pubmed/25992565 http://dx.doi.org/10.1371/journal.pone.0123483 |
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