LEADER 04176nam 22007095 450 001 9910484214603321 005 20200919071031.0 010 $a3-319-20319-3 024 7 $a10.1007/978-3-319-20319-5 035 $a(CKB)3710000000434139 035 $a(EBL)2095940 035 $a(SSID)ssj0001524792 035 $a(PQKBManifestationID)11802096 035 $a(PQKBTitleCode)TC0001524792 035 $a(PQKBWorkID)11483966 035 $a(PQKB)10725647 035 $a(DE-He213)978-3-319-20319-5 035 $a(MiAaPQ)EBC2095940 035 $a(PPN)18639828X 035 $a(EXLCZ)993710000000434139 100 $a20150612d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAnalyzing Political Communication with Digital Trace Data $eThe Role of Twitter Messages in Social Science Research /$fby Andreas Jungherr 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (241 p.) 225 1 $aContributions to Political Science,$x2198-7289 300 $aDescription based upon print version of record. 311 $a3-319-20318-5 320 $aIncludes bibliographical references. 327 $aIntroduction: How to use Twitter in the Social Sciences -- Twitter, Usage and Research -- Twitter in the Analysis of Social Phenomena: An Interpretative Framework -- Twitter as Political Communication Space: Publics, Prominent Users and Politicians -- Sensor of Attention to Politics -- The Media Connection -- Predictor of Electoral Success and Public Opinion at Large -- Conclusion: Twitter and the Analysis of Social Phenomena. 330 $aThis book offers a framework for the analysis of political communication in election campaigns based on digital trace data that documents political behavior, interests and opinions. The author investigates the data-generating processes leading users to interact with digital services in politically relevant contexts. These interactions produce digital traces, which in turn can be analyzed to draw inferences on political events or the phenomena that give rise to them. Various factors mediate the image of political reality emerging from digital trace data, such as the users of digital services? political interests, attitudes, or attention to politics. In order to arrive at valid inferences about the political reality on the basis of digital trace data, these mediating factors have to be accounted for. The author presents this interpretative framework in a detailed analysis of Twitter messages referring to politics in the context of the 2009 federal elections in Germany. This book will appeal to scholars interested in the field of political communication, as well as practitioners active in the political arena. 410 0$aContributions to Political Science,$x2198-7289 606 $aCommunication in politics 606 $aCommunication 606 $aApplication software 606 $aSociology 606 $aPolitical Communication$3https://scigraph.springernature.com/ontologies/product-market-codes/911030 606 $aCommunication Studies$3https://scigraph.springernature.com/ontologies/product-market-codes/X28000 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 606 $aMedia Research$3https://scigraph.springernature.com/ontologies/product-market-codes/X29000 615 0$aCommunication in politics. 615 0$aCommunication. 615 0$aApplication software. 615 0$aSociology. 615 14$aPolitical Communication. 615 24$aCommunication Studies. 615 24$aComputer Appl. in Social and Behavioral Sciences. 615 24$aMedia Research. 676 $a320.014 700 $aJungherr$b Andreas$4aut$4http://id.loc.gov/vocabulary/relators/aut$01228416 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484214603321 996 $aAnalyzing Political Communication with Digital Trace Data$92851822 997 $aUNINA