{"title":"从修辞人文主义的角度来看,参与大数据的五个考虑因素","authors":"Z. Majdik","doi":"10.13008/2151-2957.1312","DOIUrl":null,"url":null,"abstract":": This essay offers five conceptual entry points for engaging with Big Data from a rhetorical perspective. These five concepts — data in/as relationships, observability/action, patterns, diachronicity, and audience — serve as points of deep conceptual commonality between definitions of Big Data and principles in rhetorical studies and are offered here as considerations for critiquing uses of Big Data from a rhetorical-humanistic perspective, as well as for guiding rhetorical work that uses Big Data.","PeriodicalId":93222,"journal":{"name":"Poroi","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Five considerations for engaging with Big Data from a rhetorical-humanistic perspective\",\"authors\":\"Z. Majdik\",\"doi\":\"10.13008/2151-2957.1312\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": This essay offers five conceptual entry points for engaging with Big Data from a rhetorical perspective. These five concepts — data in/as relationships, observability/action, patterns, diachronicity, and audience — serve as points of deep conceptual commonality between definitions of Big Data and principles in rhetorical studies and are offered here as considerations for critiquing uses of Big Data from a rhetorical-humanistic perspective, as well as for guiding rhetorical work that uses Big Data.\",\"PeriodicalId\":93222,\"journal\":{\"name\":\"Poroi\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Poroi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13008/2151-2957.1312\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Poroi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13008/2151-2957.1312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Five considerations for engaging with Big Data from a rhetorical-humanistic perspective
: This essay offers five conceptual entry points for engaging with Big Data from a rhetorical perspective. These five concepts — data in/as relationships, observability/action, patterns, diachronicity, and audience — serve as points of deep conceptual commonality between definitions of Big Data and principles in rhetorical studies and are offered here as considerations for critiquing uses of Big Data from a rhetorical-humanistic perspective, as well as for guiding rhetorical work that uses Big Data.