LEADER 02610nam 2200541 450 001 9910814934803321 005 20231110231311.0 010 $a90-04-51047-8 035 $a(MiAaPQ)EBC6827605 035 $a(Au-PeEL)EBL6827605 035 $a(CKB)20151508600041 035 $a(OCoLC)1289371248 035 $a(EXLCZ)9920151508600041 100 $a20230117d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFrom Twitter to Capitol Hill $efar-right authoritarian populist discourses, social media and critical pedagogy /$fPanayota Gounari 210 1$aLeiden, Netherlands ;$aBoston, Massachusetts :$cBrill,$d[2022] 210 4$dİ2022 215 $a1 online resource (191 pages) 225 1 $aCritical Media Literacies 311 08$aPrint version: Gounari, Panayota From Twitter to Capitol Hill Boston : BRILL,c2021 9789004428317 320 $aIncludes bibliographical references and index. 330 $a"What does the backlash against Critical Race Theory, the Capitol insurrection, Trumpism, Twitter, and neo-Nazis have in common? This book delves deep into conservative social media and far-right extremist platforms to understand the revival and proliferation of far-right authoritarian populist discourses after Trump's ascent to power. After the January 6th Capitol insurrection and the role social media have played in normalizing and promoting far-right populist authoritarianism, there is a renewed interest to study digital discursive aggression. Inspired by Critical Theory, Panayota Gounari masterfully uses Critical Discourse Studies to analyze social media data and articulate a discursive, pedagogical and historical project"--$cProvided by publisher. 410 0$aCritical Media Literacies 606 $aSocial media$xPolitical aspects$zUnited States 606 $aRight-wing extremists$zUnited States 606 $aPopulism$zUnited States 606 $aCommunication in politics$zUnited States 606 $aAuthoritarianism$zUnited States 607 $aUnited States$xPolitics and government$y2017-2021 615 0$aSocial media$xPolitical aspects 615 0$aRight-wing extremists 615 0$aPopulism 615 0$aCommunication in politics 615 0$aAuthoritarianism 676 $a303.48/40973 700 $aGounari$b Panayota$01658226 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910814934803321 996 $aFrom Twitter to Capitol Hill$94082302 997 $aUNINA LEADER 04879nam 2200661 450 001 9910822547203321 005 20200520144314.0 010 $a1-118-76287-8 010 $a1-118-76289-4 035 $a(CKB)3710000000230544 035 $a(EBL)1780725 035 $a(SSID)ssj0001332669 035 $a(PQKBManifestationID)11700341 035 $a(PQKBTitleCode)TC0001332669 035 $a(PQKBWorkID)11377549 035 $a(PQKB)10619344 035 $a(OCoLC)890530568 035 $a(MiAaPQ)EBC1780725 035 $a(Au-PeEL)EBL1780725 035 $a(CaPaEBR)ebr10929005 035 $a(CaONFJC)MIL643959 035 $a(PPN)191912018 035 $a(EXLCZ)993710000000230544 100 $a20140918h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCorrespondence analysis $etheory, practice and new strategies /$fEric Beh, Rosaria Lombardo 210 1$aChichester, England :$cWiley,$d2014. 210 4$dİ2014 215 $a1 online resource (593 p.) 225 1 $aWiley Series in Probability and Statistics 300 $aDescription based upon print version of record. 311 $a1-322-12706-9 311 $a1-119-95324-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aCorrespondence Analysis: Theory, Practice and New Strategies; Contents; Foreword; Preface; Part One: Introduction; 1 Data Visualisation; 1.1 A Very Brief Introduction to Data Visualisation; 1.1.1 A Very Brief History; 1.1.2 Introduction to Visualisation Tools for Numerical Data; 1.1.3 Introduction to Visualisation Tools for Univariate Categorical Data; 1.2 Data Visualisation for Contingency Tables; 1.2.1 Fourfold Displays; 1.3 Other Plots; 1.4 Studying Exposure to Asbestos; 1.4.1 Asbestos and Irving J. Selikoff; 1.4.2 Selikoff's Data; 1.4.3 Numerical Analysis of Selikoff's Data 327 $a1.4.4 A Graphical Analysis of Selikoff's Data1.4.5 Classical Correspondence Analysis of Selikoff's Data; 1.4.6 Other Methods of Graphical Analysis; 1.5 Happiness Data; 1.6 Correspondence Analysis Now; 1.6.1 A Bibliographic Taste; 1.6.2 The Increasing Popularity of Correspondence Analysis; 1.6.3 The Growth of the Correspondence Analysis Family Tree; 1.7 Overview of the Book; 1.8 R Code; References; 2 Pearson's Chi-Squared Statistic; 2.1 Introduction; 2.2 Pearson's Chi-Squared Statistic; 2.2.1 Notation; 2.2.2 Measuring the Departure from Independence; 2.2.3 Pearson's Chi-Squared Statistic 327 $a2.6.3 The Cressie--Read StatisticReferences; Part Two: Correspondence Analysis of Two-Way Contingency Tables; 3 Methods of Decomposition; 3.1 Introduction; 3.2 Reducing Multidimensional Space; 3.3 Profiles and Cloud of Points; 3.4 Property of Distributional Equivalence; 3.5 The Triplet and Classical Reciprocal Averaging; 3.5.1 One-Dimensional Reciprocal Averaging; 3.5.2 Matrix Form of One-Dimensional Reciprocal Averaging; 3.5.3 M-Dimensional Reciprocal Averaging; 3.5.4 Some Historical Comments; 3.6 Solving the Triplet Using Eigen-Decomposition; 3.6.1 The Decomposition; 3.6.2 Example 327 $a3.7 Solving the Triplet Using Singular Value Decomposition3.7.1 The Standard Decomposition; 3.7.2 The Generalised Decomposition; 3.8 The Generalised Triplet and Reciprocal Averaging; 3.9 Solving the Generalised Triplet Using Gram--Schmidt Process; 3.9.1 Ordered Categorical Variables and a priori Scores; 3.9.2 On Finding Orthogonalised Vectors; 3.9.3 A Recurrence Formulae Approach; 3.9.4 Changing the Basis Vector; 3.9.5 Generalised Correlations; 3.10 Bivariate Moment Decomposition; 3.11 Hybrid Decomposition; 3.11.1 An Alternative Singly Ordered Approach; 3.12 R Code 327 $a3.12.1 Eigen-Decomposition in R 330 $a A comprehensive overview of the internationalisation of correspondence analysis Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of correspondence analysis, and discusses the new advances that have been made over the last 20 years. The main focus of this book is to provide a comprehensive discussion of some of the key technical and practical aspects of correspondence analysis, and to demonstrate how they may be put to use. Particular attention is given to the history and mathematical links of the developments made. These links include not just those majo 410 0$aWiley series in probability and statistics. 606 $aCorrespondence analysis (Statistics) 615 0$aCorrespondence analysis (Statistics) 676 $a519.5/37 686 $aMAT029020$2bisacsh 700 $aBeh$b Eric J.$0525012 702 $aLombardo$b Rosaria 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822547203321 996 $aCorrespondence analysis$94119082 997 $aUNINA