{"id":9038,"date":"2020-07-21T15:54:33","date_gmt":"2020-07-21T20:54:33","guid":{"rendered":"https:\/\/latamjournalismreview.org\/?p=9038"},"modified":"2020-07-21T15:54:33","modified_gmt":"2020-07-21T20:54:33","slug":"machine-learning-pode-ajudar-redacoes-a-encontrar-historias-e-promover-seus-objetivos","status":"publish","type":"post","link":"https:\/\/latamjournalismreview.org\/pt-br\/articles\/machine-learning-pode-ajudar-redacoes-a-encontrar-historias-e-promover-seus-objetivos\/","title":{"rendered":"Machine learning pode ajudar reda\u00e7\u00f5es a encontrar hist\u00f3rias e promover seus objetivos"},"content":{"rendered":"

Machine learning pode ajudar os jornalistas a melhorar seu fluxo de trabalho e a encontrar hist\u00f3rias que poderiam ter sido perdidas, disse <\/span>Michael Grant<\/span><\/a>, professor do Google News Lab, durante um workshop no Simp\u00f3sio Internacional de Jornalismo Online (ISOJ).<\/span><\/p>\n

\"Michael

Michael Grant<\/p><\/div>\n

O workshop \"Intelig\u00eancia Artificial e Machine Learning na reda\u00e7\u00e3o\", em 21 de julho, fez parte da primeira confer\u00eancia totalmente online do ISOJ. Durante o workshop, Grant mostrou aos participantes como diferentes ferramentas podem ser usadas para reunir not\u00edcias, encontrar informa\u00e7\u00f5es, gerar ideias de pautas, identificar tend\u00eancias, rastrear eventos e categorizar dados.<\/span><\/p>\n

\"Voc\u00ea pode realmente come\u00e7ar a descobrir como aproveitar alguns dos produtos dispon\u00edveis no mercado que alavancam o poder do machine learning\", disse Grant.
\n<\/span>
\n<\/span>As reda\u00e7\u00f5es de todo o mundo est\u00e3o descobrindo como machine learning pode funcionar melhor para fazer avan\u00e7ar os objetivos de suas equipes.<\/span><\/p>\n

Um exemplo que ele deu foi que algumas reda\u00e7\u00f5es, como a Reuters, est\u00e3o usando uma ferramenta de machine learning para pesquisar tweets, com o objetivo de detectar cen\u00e1rios de not\u00edcias de \u00faltima hora. Isso economiza, para jornalistas, o tempo e a energia necess\u00e1rios para pesquisar nas m\u00eddias sociais. Em vez disso, os rep\u00f3rteres podem se concentrar no que fazem de melhor \u2013entrevistar, investigar, pesquisar e escrever.<\/span><\/p>\n

\"Isso \u00e9 realmente bom para suplementar, onde talvez n\u00e3o queiramos usar nossos recursos em coisas que ... [t\u00eam] uma tonelada de conte\u00fado e que ter\u00edamos dificuldade em cobrir com rep\u00f3rteres\", disse Grant. \"Esse \u00e9 um \u00f3timo exemplo em que podemos usar a tecnologia para um problema espec\u00edfico e come\u00e7ar a realmente revelar coisas que podem ser \u00fateis para o p\u00fablico\".<\/span><\/p>\n

Al\u00e9m disso, outras organiza\u00e7\u00f5es de not\u00edcias, como a Vice, est\u00e3o usando machine learning na tentativa de tornar suas informa\u00e7\u00f5es mais acess\u00edveis. A Vice usa um sistema de tradu\u00e7\u00e3o do Google para disponibilizar algumas de suas hist\u00f3rias em v\u00e1rios idiomas diferentes.<\/span><\/p>\n

Enquanto isso, a ProPublica usou machine learning para rastrear crimes de \u00f3dio nos Estados Unidos, com o objetivo de criar um sistema central de rastreamento que n\u00e3o existia anteriormente.
\n<\/span>
\n<\/span>Grant disse que h\u00e1 muitas formas que as reda\u00e7\u00f5es podem aproveitar o machine learning para tornar suas reportagens mais eficientes, completas e exclusivas. O uso da tecnologia, acrescentou, tamb\u00e9m pode economizar tempo dos rep\u00f3rteres e permitir que eles concentrem suas habilidades e recursos nas facetas do trabalho que a tecnologia n\u00e3o \u00e9 capaz de realizar.<\/p>\n

<\/span>O Google Not\u00edcias Lab patrocinou a conversa sobre machine learning em ingl\u00eas e espanhol. Para saber mais sobre as ferramentas j\u00e1 dispon\u00edveis, visite <\/span>as ferramentas de treinamento do Google News Lab<\/span><\/a>. Assista ao workshop completo no canal do <\/span>ISOJ no YouTube<\/span><\/a> e leia mais sobre os workshops <\/span>em nosso site<\/span><\/a>.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

O uso da tecnologia pode economizar tempo dos rep\u00f3rteres e permitir que eles concentrem suas habilidades e recursos em outras \u00e1reas do trabalho<\/p>\n","protected":false},"author":24,"featured_media":9695,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1346],"tags":[1465,1593],"coauthors":[],"class_list":["post-9038","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-isoj-pt-br","tag-isoj-pt-br","tag-jornalismo-online-pt-br"],"acf":[],"yoast_head":"\nMachine learning pode ajudar reda\u00e7\u00f5es a encontrar hist\u00f3rias e promover seus objetivos - LatAm Journalism Review by the Knight Center<\/title>\n<meta name=\"description\" content=\"Machine learning pode ajudar reda\u00e7\u00f5es a encontrar hist\u00f3rias e promover seus objetivos ISOJ. 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