LEADER 02226nam0 2200481 i 450 001 VAN00123549 005 20240806100813.834 017 70$2N$a9783319557182 100 $a20190924d2017 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aBayesian Cost-Effectiveness Analysis with the R package BCEA$fGianluca Baio, Andrea Berardi, Anna Heath 210 $aCham$cSpringer$d2017 215 $axvi, 168 p.$cill.$d24 cm 410 1$1001VAN00102661$12001 $aUse R!$1210 $aBerlin [etc.]$cSpringer$d2006- 500 1$3VAN00235436$aBayesian Cost-Effectiveness Analysis with the R package BCEA$91561728 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62C12$xEmpirical decision procedures; empirical Bayes procedures [MSC 2020]$3VANC026448$2MF 606 $a62P20$xApplications of statistics to economics [MSC 2020]$3VANC026444$2MF 606 $a68N15$xTheory of programming languages [MSC 2020]$3VANC025161$2MF 610 $aBCEA$9KW:K 610 $aBayesian Cost-Effectiveness Analysis$9KW:K 610 $aBayesian modelling$9KW:K 610 $aCost-effectiveness Analysis$9KW:K 610 $aDecision-analytic modelling$9KW:K 610 $aHealth economics evaluation$9KW:K 610 $aHealth techonology assessment$9KW:K 610 $aProbabilistic sensitivity analysis$9KW:K 610 $aValue of Information$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aBaio$bGianluca$3VANV011413$0729596 701 1$aBerardi$bAndrea$3VANV095002$0118956 701 1$aHeath$bAnna$3VANV095003$0767172 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20241115$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-55718-2$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00123549 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 0577 $e08eMF577 20190924 996 $aBayesian Cost-Effectiveness Analysis with the R package BCEA$91561728 997 $aUNICAMPANIA LEADER 03565nam 22006493 450 001 9910725060103321 005 20241107094210.0 010 $a9781000912777 010 $a1000912779 010 $a9781003375258 010 $a1003375251 010 $a9781000912791 010 $a1000912795 024 7 $a10.4324/9781003375258 035 $a(CKB)5720000000218912 035 $a(MiAaPQ)EBC7250812 035 $a(Au-PeEL)EBL7250812 035 $a(NjHacI)995720000000218912 035 $a(ODN)ODN0009862981 035 $a(ScCtBLL)e52cca3f-cc6b-4648-b89e-340d958031b2 035 $a(EXLCZ)995720000000218912 100 $a20230612d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAlgorithmic Gatekeeping for Professional Communicators $ePower, Trust, and Legitimacy 205 $a1 ed. 210 $d2023 210 1$aMilton :$cTaylor & Francis Group,$d2023. 210 4$dİ2023. 215 $a1 online resource (97 pages) 225 1 $aDisruptions Series 311 08$a1-03-245071-1 311 08$a1-03-245072-X 320 $aIncludes bibliographical references and index. 327 $aAlgorithm aversion -- The mediating power of algorithms -- Structuring power -- Algorithmic power, trust and legitimacy. 330 $a"This book provides a critical study of the power, trust and legitimacy of algorithmic gatekeepers. The news and public information which citizens see and hear is no longer solely determined by journalists, but increasingly by algorithms. Van Dalen demonstrates the gatekeeping power of social media algorithms by showing how they affect exposure to diverse information and misinformation, and shape the behaviour of professional communicators. Trust and legitimacy are foregrounded as two crucial antecedents for the acceptance of this algorithmic power. This study reveals low trust among the general population in algorithms performing journalistic tasks and a perceived lack of legitimacy of algorithmic power among professional communicators. Drawing on case studies from YouTube and Instagram, this book challenges technological deterministic discourse around 'filter bubbles' and 'echo chambers' and shows how algorithmic power is situated in the interplay between platforms, audiences and professional communicators. Ultimately, trustworthy algorithms used by news organizations and social media platforms as well as algorithm literacy training are proposed as ways forward towards democratic algorithmic gatekeeping. Presenting a nuanced perspective which challenges the deep divide between techno-optimistic and techno-pessimistic discourse around algorithms, Algorithmic Gatekeeping is recommended reading for journalism and communication researchers in related fields"$c-- Provided by publisher. 410 0$aDisruptions Series 517 $aAlgorithmic Gatekeeping for Professional Communicators 606 $aAlgorithms 606 $aSocial media and journalism 606 $aFilter bubbles (Information filtering) 615 0$aAlgorithms. 615 0$aSocial media and journalism. 615 0$aFilter bubbles (Information filtering) 676 $a302.23/1 686 $aLAN004000$aLAN008000$2bisacsh 700 $avan Dalen$b Arjen$01439490 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910725060103321 996 $aAlgorithmic Gatekeeping for Professional Communicators$93601702 997 $aUNINA