000727712 000__ 03289cam\a2200445Ii\4500 000727712 001__ 727712 000727712 005__ 20230306140934.0 000727712 006__ m\\\\\o\\d\\\\\\\\ 000727712 007__ cr\cn\nnnunnun 000727712 008__ 150616s2015\\\\sz\a\\\\ob\\\\000\0\eng\d 000727712 020__ $$a9783319203195$$qelectronic book 000727712 020__ $$a3319203193$$qelectronic book 000727712 020__ $$z9783319203188 000727712 035__ $$aSP(OCoLC)ocn911054479 000727712 035__ $$aSP(OCoLC)911054479 000727712 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dGW5XE$$dIDEBK$$dYDXCP$$dEBLCP$$dUPM$$dAZU 000727712 049__ $$aISEA 000727712 050_4 $$aJA85 000727712 08204 $$a320.01/4$$223 000727712 1001_ $$aJungherr, Andreas,$$eauthor. 000727712 24510 $$aAnalyzing political communication with digital trace data$$h[electronic resource] :$$bthe role of Twitter messages in social science research /$$cAndreas Jungherr. 000727712 264_1 $$aCham :$$bSpringer,$$c2015. 000727712 300__ $$a1 online resource :$$billustrations. 000727712 336__ $$atext$$btxt$$2rdacontent 000727712 337__ $$acomputer$$bc$$2rdamedia 000727712 338__ $$aonline resource$$bcr$$2rdacarrier 000727712 4901_ $$aContributions to political science,$$x2198-7297 000727712 500__ $$aBased on the author's Ph. D. thesis, accepted in 2014 at Univeristy of Bamburg. 000727712 504__ $$aIncludes bibliographical references. 000727712 5050_ $$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. 000727712 506__ $$aAccess limited to authorized users. 000727712 520__ $$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. 000727712 588__ $$aOnline resource; title from PDF title page (viewed June 17, 2015). 000727712 63000 $$aTwitter$$xPolitical aspects. 000727712 650_0 $$aCommunication in politics$$xTechnological innovations$$xSocial aspects. 000727712 830_0 $$aContributions to political science. 000727712 852__ $$bebk 000727712 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-20319-5$$zOnline Access$$91397441.1 000727712 909CO $$ooai:library.usi.edu:727712$$pGLOBAL_SET 000727712 980__ $$aEBOOK 000727712 980__ $$aBIB 000727712 982__ $$aEbook 000727712 983__ $$aOnline 000727712 994__ $$a92$$bISE