{"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}
引用次数: 2
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.