Twitter se stal v\u0161udyp\u0159\u00edtomnou platformou, p\u0159i\u010dem\u017e miliony u\u017eivatel\u016f po cel\u00e9m sv\u011bt\u011b generuj\u00ed obrovsk\u00e9 mno\u017estv\u00ed dat. V\u00fdzkumn\u00edci zjistili, \u017ee tato data mohou poskytnout cenn\u00e9 poznatky o lidsk\u00e9 aktivit\u011b po cel\u00e9m sv\u011bt\u011b.<\/p>\n\n
Otev\u0159en\u00e9 API Twitteru umo\u017e\u0148uje v\u00fdzkumn\u00edk\u016fm p\u0159\u00edstup ke zpracov\u00e1n\u00ed surov\u00fdch dat z tweet\u016f, v\u010detn\u011b jejich zem\u011bpisn\u00fdch poloh. To umo\u017enilo vytvo\u0159en\u00ed sofistikovan\u00fdch map, kter\u00e9 odhaluj\u00ed vzorce lidsk\u00e9 aktivity na z\u00e1klad\u011b hustoty tweet\u016f.<\/p>\n\n
Nejb\u011b\u017en\u011bj\u0161\u00edm jazykem na Twitteru je angli\u010dtina, existuje v\u0161ak \u0161irok\u00e1 \u0161k\u00e1la dal\u0161\u00edch zastoupen\u00fdch jazyk\u016f. V\u00fdzkumn\u00edci vytvo\u0159ili mapy, kter\u00e9 ukazuj\u00ed rozlo\u017een\u00ed r\u016fzn\u00fdch jazyk\u016f po cel\u00e9m sv\u011bt\u011b, \u010d\u00edm\u017e odhaluj\u00ed jazykovou rozmanitost u\u017eivatelsk\u00e9 z\u00e1kladny Twitteru.<\/p>\n\n
Zem\u011bpisn\u00e9 rozlo\u017een\u00ed tweet\u016f \u00fazce odpov\u00edd\u00e1 m\u00ed\u0159e elektrifikace a pou\u017e\u00edv\u00e1n\u00ed um\u011bl\u00e9ho sv\u011btla, zejm\u00e9na v rozvinut\u00fdch regionech. To nazna\u010duje, \u017ee pou\u017e\u00edv\u00e1n\u00ed Twitteru je siln\u011b ovlivn\u011bno p\u0159\u00edstupem k technologi\u00edm.<\/p>\n\n
V\u00fdzkumn\u00edci tak\u00e9 analyzovali geografii retweet\u016f a odkazov\u00e1n\u00ed na Twitteru. Zjistili, \u017ee pr\u016fm\u011brn\u00e1 vzd\u00e1lenost mezi u\u017eivateli, kte\u0159\u00ed se navz\u00e1jem retweetuj\u00ed nebo na sebe odkazuj\u00ed, je p\u0159ekvapiv\u011b velk\u00e1. To nazna\u010duje, \u017ee Twitter se pou\u017e\u00edv\u00e1 ke spojen\u00ed lid\u00ed, kte\u0159\u00ed \u017eij\u00ed daleko od sebe.<\/p>\n\n
V\u00fdzkumn\u00edci porovnali pom\u011br pokryt\u00ed tradi\u010dn\u00edch zpr\u00e1v s po\u010dtem tweet\u016f v r\u016fzn\u00fdch zem\u00edch. Zjistili, \u017ee Evropa a USA dost\u00e1vaj\u00ed ne\u00fam\u011brn\u00e9 medi\u00e1ln\u00ed pokryt\u00ed, zat\u00edmco Latinsk\u00e1 Amerika a Indon\u00e9sie jsou p\u0159ehl\u00ed\u017eeny.<\/p>\n\n
Twitter neust\u00e1le rychle roste a jak budou k dispozici dal\u0161\u00ed data, budou v\u00fdzkumn\u00edci moci prov\u00e1d\u011bt je\u0161t\u011b podrobn\u011bj\u0161\u00ed anal\u00fdzy. Tato data mohou poskytnout cenn\u00e9 poznatky o lidsk\u00e9m chov\u00e1n\u00ed, demografii a komunika\u010dn\u00edch vzorc\u00edch.<\/p>\n\n
Jeden pozoruhodn\u00fd v\u00fdzkumn\u00fd projekt, Glob\u00e1ln\u00ed tep spole\u010dnosti Twitter, analyzoval p\u0159es miliardu tweet\u016f z cel\u00fdch USA, aby vytvo\u0159il mapy pozitivn\u00edch a negativn\u00edch emoc\u00ed vyj\u00e1d\u0159en\u00fdch b\u011bhem hurik\u00e1nu Sandy a podpory prezidentsk\u00fdch kandid\u00e1t\u016f.<\/p>\n\n
Je d\u016fle\u017eit\u00e9 si uv\u011bdomit, \u017ee data analyzovan\u00e1 v t\u011bchto studi\u00edch p\u0159edstavuj\u00ed pouze mal\u00fd zlomek v\u0161ech odeslan\u00fdch tweet\u016f. U\u017eivatel\u00e9, kte\u0159\u00ed povol\u00ed geotagging, se nav\u00edc mohou chovat odli\u0161n\u011b od ostatn\u00edch u\u017eivatel\u016f. V\u00fdsledky proto nemus\u00ed b\u00fdt zcela reprezentativn\u00ed pro v\u0161echny vzorce na Twitteru.<\/p>","protected":false},"excerpt":{"rendered":"
Twitter: Glob\u00e1ln\u00ed mapa lidsk\u00e9 aktivity Twitter se stal v\u0161udyp\u0159\u00edtomnou platformou, p\u0159i\u010dem\u017e miliony u\u017eivatel\u016f po cel\u00e9m sv\u011bt\u011b generuj\u00ed obrovsk\u00e9 mno\u017estv\u00ed dat. V\u00fdzkumn\u00edci zjistili, \u017ee tato data mohou poskytnout cenn\u00e9 poznatky o…<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3462],"tags":[385,1683,3461,3460,171,3459],"class_list":["post-1575","post","type-post","status-publish","format-standard","hentry","category-data-science","tag-data-analysis","tag-digital-humanities","tag-language-diversity","tag-human-activity","tag-social-media","tag-twitter"],"_links":{"self":[{"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/posts\/1575","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/comments?post=1575"}],"version-history":[{"count":1,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/posts\/1575\/revisions"}],"predecessor-version":[{"id":1576,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/posts\/1575\/revisions\/1576"}],"wp:attachment":[{"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/media?parent=1575"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/categories?post=1575"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lifescienceart.com\/cs\/wp-json\/wp\/v2\/tags?post=1575"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}