LEADER 03756nam 22007572 450 001 9910807054103321 005 20151005020622.0 010 $a1-108-79061-5 010 $a1-107-23448-4 010 $a1-107-30127-0 010 $a0-511-92010-5 010 $a1-107-30549-7 010 $a1-107-30855-0 010 $a1-107-31410-0 010 $a1-107-30635-3 010 $a1-299-25717-8 035 $a(CKB)2560000000098588 035 $a(EBL)1113049 035 $a(OCoLC)827947176 035 $a(SSID)ssj0000821319 035 $a(PQKBManifestationID)11452860 035 $a(PQKBTitleCode)TC0000821319 035 $a(PQKBWorkID)10880164 035 $a(PQKB)10414646 035 $a(UkCbUP)CR9780511920103 035 $a(Au-PeEL)EBL1113049 035 $a(CaPaEBR)ebr10659326 035 $a(CaONFJC)MIL456967 035 $a(MiAaPQ)EBC1113049 035 $a(EXLCZ)992560000000098588 100 $a20100913d2013|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscourse analysis and media attitudes $ethe representation of Islam in the British press /$fPaul Baker, Costas Gabrielatos, and Tony McEnery$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2013. 215 $a1 online resource (xi, 280 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-107-00882-4 311 $a1-107-31190-X 320 $aIncludes bibliographical references and index. 327 $aSketching Muslims: the big picture -- Muslim or Moslem: differences between newspapers -- Effect: change over time -- Welcome to Muslim world: collectivisation and differentiation -- Devout Muslim ways of believing -- From hate preachers to scroungers: who benefits? -- Burqas and brainwashing: Muslims and gender -- Does history rhyme? earlier news representations of Muslims. 330 $aIs the British press prejudiced against Muslims? In what ways can prejudice be explicit or subtle? This book uses a detailed analysis of over 140 million words of newspaper articles on Muslims and Islam, combining corpus linguistics and discourse analysis methods to produce an objective picture of media attitudes. The authors analyse representations around frequently cited topics such as Muslim women who wear the veil and 'hate preachers'. The analysis is self-reflexive and multidisciplinary, incorporating research on journalistic practices, readership patterns and attitude surveys to answer questions which include: what do journalists mean when they use phrases like 'devout Muslim' and how did the 9/11 and 7/7 attacks affect press reporting? This is a stimulating and unique book for those working in fields of discourse analysis and corpus linguistics, while clear explanations of linguistic terminology make it valuable to those in the fields of politics, media studies, journalism and Islamic studies. 517 3 $aDiscourse Analysis & Media Attitudes 606 $aIslam$zGreat Britain 606 $aMuslims$zGreat Britain 606 $aIslam$xPress coverage 606 $aIslamophobia$zGreat Britain 606 $aPublic opinion$zGreat Britain 615 0$aIslam 615 0$aMuslims 615 0$aIslam$xPress coverage. 615 0$aIslamophobia 615 0$aPublic opinion 676 $a305.6/970941 700 $aBaker$b Paul$f1972-$0948910 702 $aGabrielatos$b Costas 702 $aMcEnery$b Tony$f1964- 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910807054103321 996 $aDiscourse analysis and media attitudes$94044685 997 $aUNINA LEADER 01508nam0 22003853i 450 001 MIL0343516 005 20251003044231.0 010 $a0070428077 010 $a0071154671$bInternational edition 100 $a20090617d1997 ||||0itac50 ba 101 | $aeng$ceng 102 $aus 181 1$6z01$ai $bxxxe 182 1$6z01$an 183 1$6z01$anc$2RDAcarrier 200 1 $aMachine learning$fTom M. Mitchell 210 $aNew York [etc.]$cMcGraw-Hill$dc1997 215 $a XVII, 414 p.$d24 cm. 225 | $aMcGraw-Hill international editions 410 0$1001MIL0315470$12001 $aMcGraw-Hill international editions 500 10$aMachine learning.$3UBS0013280$9MILV051917$91538991 606 $aIntelligenza artificiale$2FIR$3CFIC006750$9E 676 $a006.3$9INTELLIGENZA ARTIFICIALE$v14 676 $a006.31$9Intelligenza artificiale. Apprendimento da parte della macchina (Apprendimento automatico)$v22 696 $aIA 699 $aIntelligenza artificiale$yIA 700 1$aMitchell$b, Tom Michael$f <1951- >$3MILV051917$4070$0760523 801 3$aIT$bIT-000000$c20090617 850 $aIT-BN0095 901 $bNAP 01$cSALA DING $n$ 912 $aMIL0343516 950 0$aBiblioteca Centralizzata di Ateneo$c1 v.$d 01SALA DING 006.3 MIT.ma$e 0102 0000073485 VMA A4 1 v.$fY $h20090617$i20090617 977 $a 01 996 $aMachine learning$91538991 997 $aUNISANNIO