{"title":"避免酒鬼的搜索:调查构建Twitter数据集的收集策略","authors":"Claire Llewellyn, Laura Cram, A. Favero","doi":"10.1145/2910896.2925433","DOIUrl":null,"url":null,"abstract":"We investigate methods for collecting data to form an archive on the debate within Twitter surrounding the UK's inclusion in the EU. We use three strategies, gathering data using hashtags, extracting data from the random stream and collecting from users known to be discussing the debate. We explore the various bias in the resulting datasets.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Avoiding the Drunkard's search: Investigating collection strategies for building a Twitter dataset\",\"authors\":\"Claire Llewellyn, Laura Cram, A. Favero\",\"doi\":\"10.1145/2910896.2925433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigate methods for collecting data to form an archive on the debate within Twitter surrounding the UK's inclusion in the EU. We use three strategies, gathering data using hashtags, extracting data from the random stream and collecting from users known to be discussing the debate. We explore the various bias in the resulting datasets.\",\"PeriodicalId\":109613,\"journal\":{\"name\":\"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2910896.2925433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2910896.2925433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Avoiding the Drunkard's search: Investigating collection strategies for building a Twitter dataset
We investigate methods for collecting data to form an archive on the debate within Twitter surrounding the UK's inclusion in the EU. We use three strategies, gathering data using hashtags, extracting data from the random stream and collecting from users known to be discussing the debate. We explore the various bias in the resulting datasets.