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of 7
pro vyhledávání: '"Gunnarsson Lorentzen, David"'
Autor:
Gunnarsson Lorentzen, David
The purpose of this thesis is to critically discuss methods to collect and analyse data related to the interaction and content on the social platform Twitter. The thesis contains examples of how networked communication can be studied on Twitter, base
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-9339
Autor:
Foderaro, Antonella1 (AUTHOR) anto.fxc@gmail.com, Gunnarsson Lorentzen, David2 (AUTHOR) david.gunnarsson_lorentzen@hb.se
Publikováno v:
Journal of Documentation. 2024, Vol. 80 Issue 6, p1313-1332. 20p.
Autor:
Gunnarsson Lorentzen, David
Publikováno v:
Aslib Journal of Information Management, 2014, Vol. 66, Issue 3, pp. 329-341.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AJIM-09-2013-0086
I det här kapitlet undersöker vi bokläsning i Sverige under 2021. Vi jämför läsningav de tre olika formaten tryckta böcker, ljudböcker och e-böcker i olika grupper. Vistuderar också högläsning för barn, samt varifrån människor får tag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______681::8d329d3abd264d09dc270ccd060e6c0a
http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-28111
http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-28111
Kapitlet behandlar läsning av böcker i olika format; tryckta böcker, e-böcker och ljudböcker, bland män och kvinnor i relation till ålder, bostadsort och utbildnings-nivå. Vi undersöker hur årets siffror ställer sig gentemot föregående
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______681::41cf828389fa83b78a3f05bbe77472ec
http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-25615
http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-25615
Recent medial discussion on “fake-news” underlines the importance of evidence-baseddecision-making. To gather, analyze and interpret “facts” is, however, in our information-densedigital times, not always easy. Activities such as information s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______681::bb28fbfe3fce12a0d247f0e5f2b3ba87
http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-24585
http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-24585
In this study, we demonstrate how to collect Twitter conversations emanating from or referring to scientific papers. We propose segmenting the conversational threads into smaller segments and then compare them using information retrieval techniques,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______681::558bb6b73385e314158b7e8c839bd557
http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-21908
http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-21908