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dc.contributor.authorBraslavski, P.en
dc.contributor.authorLikhosherstov, V.en
dc.contributor.authorPetras, V.en
dc.contributor.authorGäde, M.en
dc.date.accessioned2019-07-22T06:48:08Z-
dc.date.available2019-07-22T06:48:08Z-
dc.date.issued2016-
dc.identifier.citationLarge-scale log analysis of digital reading / P. Braslavski, V. Likhosherstov, V. Petras et al. // Proceedings of the Association for Information Science and Technology. — 2016. — Vol. 53. — Iss. 1. — P. 1-10.en
dc.identifier.issn2373-9231-
dc.identifier.otherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/pra2.2016.14505301044pdf
dc.identifier.other1good_DOI
dc.identifier.other4dc6c875-23eb-48de-9c7b-1b7576d956aapure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85015266259m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/75658-
dc.description.abstractIn this paper, we address daily reading practices of the general public in Russia analyzing 10 months of log data from the commercial ebook site Bookmate. We study different reading characteristics with ebooks, i.e. the reading volume and preferences, reading schedule, reading speed and reading style (including parallel reading patterns and book abandonment rates), with respect to reader gender, book length and genre of the book. We find that book genres impact certain reading behaviors, while gender differences or book length seem to play less of a role in ebook reading. Parallel book reading and book abandonment occur very frequently, possibly pointing towards changing reading behaviors in the ebook environment. The obtained insights demonstrate the high potential of log analysis for book reading studies. Copyright © 2016 by Association for Information Science and Technologyen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherJohn Wiley and Sons Inc.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceProceedings of the Association for Information Science and Technologyen
dc.subjectDIGITAL READINGen
dc.subjectEBOOKSen
dc.subjectREADING BEHAVIORen
dc.subjectUSER MODELINGen
dc.titleLarge-scale log analysis of digital readingen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1002/pra2.2016.14505301044-
dc.identifier.scopus85015266259-
local.affiliationUral Federal University, Yekaterinburg, Russian Federationen
local.affiliationHumboldt-Universität zu Berlin, Berlin, Germanyen
local.contributor.employeeБраславский Павел Исааковичru
local.description.firstpage1-
local.description.lastpage10-
local.issue1-
local.volume53-
local.identifier.pure1686569-
local.identifier.eid2-s2.0-85015266259-
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