{"title":"Using dual-process theory and cues of identifiability to explain supportive exchanges on social question and answer sites","authors":"Ashley M. Peterson, Michelle Acevedo Callejas","doi":"10.1080/01463373.2021.1951790","DOIUrl":null,"url":null,"abstract":"ABSTRACT On social question and answer sites (Q&As), users engage each other in a community built on seeking and providing informational support. On these sites, question askers select and assess advice provided by other users. Using the dual-process theory of supportive communication and advice response theory, we examined how message features and user characteristics influence question askers’ selection and evaluation of the quality of provided answers. Through a content analysis of Yahoo! Answers questions and answers (N = 450), we found that message features signaling social relationships were associated with a question asker’s selection and rating of answers. We discuss theoretical implications of these findings.","PeriodicalId":51521,"journal":{"name":"COMMUNICATION QUARTERLY","volume":"69 1","pages":"301 - 319"},"PeriodicalIF":1.4000,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/01463373.2021.1951790","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"COMMUNICATION QUARTERLY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/01463373.2021.1951790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 1
Abstract
ABSTRACT On social question and answer sites (Q&As), users engage each other in a community built on seeking and providing informational support. On these sites, question askers select and assess advice provided by other users. Using the dual-process theory of supportive communication and advice response theory, we examined how message features and user characteristics influence question askers’ selection and evaluation of the quality of provided answers. Through a content analysis of Yahoo! Answers questions and answers (N = 450), we found that message features signaling social relationships were associated with a question asker’s selection and rating of answers. We discuss theoretical implications of these findings.