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Infodemiology Study of Metafilter
- figshare.com
application/x-rarUpdated Oct 2, 2023
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EmailClick to copy linkLink copiedCiteyang jinqing (2023). Infodemiology Study of Metafilter [Dataset]. http://doi.org/10.6084/m9.figshare.24230476.v1application/x-rarAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.24230476.v1Dataset updatedOct 2, 2023Dataset provided byfigshareAuthorsyang jinqingLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe purpose of this study is to investigate how content-related, context-related, and user-related variables can influence the answerability and popularity of a health-related post based on the user-dynamic social network and topic-dynamic semantic network, respectively.
- k
MetaFilter-User-Interactions
- kaggle.com
Updated Dec 27, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2023). MetaFilter-User-Interactions [Dataset]. https://www.kaggle.com/datasets/thedevastator/metafilter-user-interactionsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedDec 27, 2023Description17 years of user interactions and community trends from MetaFilter
Question and answer data for the seventh topic in the ask section of the...
- ieee-dataport.org
Updated Dec 4, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCitesongye li (2023). Question and answer data for the seventh topic in the ask section of the metafilter website [Dataset]. http://doi.org/10.21227/bvm8-br80Unique identifierhttps://doi.org/10.21227/bvm8-br80Dataset updatedDec 4, 2023Authorssongye liLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThis data set comes from the MetaFilter website. The question ID data of the askme section is obtained through the official dump data. After selecting a specific category, the corresponding other data is obtained using the ID, including the question title, description, questioner, tags, and all comments. , for the answerer, answer text, etc., while using the user information of all questioners and answerers, and also obtained user-related data from the dump data, including the number of comments, the number of likes, the number of followers, the number of followers, Date joined, number of questions asked, number of questions answered, etc.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The purpose of this study is to investigate how content-related, context-related, and user-related variables can influence the answerability and popularity of a health-related post based on the user-dynamic social network and topic-dynamic semantic network, respectively.