Search (156 results, page 2 of 8)

  • × language_ss:"e"
  • × theme_ss:"Internet"
  • × year_i:[2010 TO 2020}
  1. Kong, S.; Ye, F.; Feng, L.; Zhao, Z.: Towards the prediction problems of bursting hashtags on Twitter (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2566-2579
  2. Hyning, V. Van; Lintott, C.; Blickhan, S.; Trouille, L.: Transforming libraries and archives through crowdsourcing (2017) 0.00
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    Source
    D-Lib magazine. 23(2017) nos.5/6, xx S
  3. Gorgeon, A.; Swanson, E.B.: Web 2.0 according to Wikipedia : capturing an organizing vision (2011) 0.00
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    Abstract
    Is Web 2.0 more than a buzzword? In recent years, technologists and others have heatedly debated this question, even in Wikipedia, itself an example of Web 2.0. From the perspective of the present study, Web 2.0 may indeed be a buzzword, but more substantially it is also an example of an organizing vision that drives a community's discourse about certain new Information Technology (IT), serving to advance the technology's adoption and diffusion. Every organizing vision has a career that reflects its construction over time, and in the present study we examine Web 2.0's career as captured in its Wikipedia entry over a 5-year period, finding that it falls into three distinct periods termed Germination, Growth, and Maturation. The findings reveal how Wikipedia, as a discourse vehicle, treats new IT and its many buzzwords, and more broadly captures the careers of their organizing visions. Too, they further our understanding of Wikipedia as a new encyclopedic form, providing novel insights into its uses, its community of contributors, and their editing activities, as well as the dynamics of article construction.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.10, S.1916-1932
  4. Burford, S.: Complexity and the practice of web information architecture (2011) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.10, S.2024-2037
  5. Hasler, L.; Ruthven, I.; Buchanan, S.: Using internet groups in situations of information poverty : topics and information needs (2014) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.25-36
  6. Borlund, P.; Dreier, S.: ¬An investigation of the search behaviour associated with Ingwersen's three types of information needs (2014) 0.00
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    Source
    Information processing and management. 50(2014) no.4, S.493-507
  7. Yang, S.; Han, R.; Ding, J.; Song, Y.: ¬The distribution of Web citations (2012) 0.00
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    Source
    Information processing and management. 48(2012) no.4, S.779-790
  8. Seo, H.; Thorson, S.: ¬A mixture model of global internet capacity distributions (2016) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.8, S.2032-2044
  9. Golinski, M.: Use, but verify : composite indices for measuring the information society (2010) 0.00
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    Pages
    S.376-380
  10. Derek Doran, D.; Gokhale, S.S.: ¬A classification framework for web robots (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.12, S.2549-2554,
  11. Bawden, D.: Supporting truth and promoting understanding : knowledge Organization and the curation of the infosphere (2018) 0.00
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    Pages
    S.17-28
  12. Almeida Mariz, A.C.; Melo, R.O.; Almeida Mariz, T.: Challenges of organization and retrieval of photographs on social networks on the Internet (2018) 0.00
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    Pages
    S.746-753
  13. Rondot, C.; Chevry-Pébayle, E.: Enhancement of digital heritage through digital social networks (2018) 0.00
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    Pages
    S.804-811
  14. Segev, E.: Google and the digital divide : the bias of online knowledge (2010) 0.00
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    Footnote
    Rez. in: JASIST 61(2010) no.12, S.2586-2587 (Lynette Kvasny)
    Pages
    XXXIV, 222 S
  15. Bar-Ilan, J.; Zhitomirsky-Geffet, M.; Miller, Y.; Shoham, S.: ¬The effects of background information and social interaction on image tagging (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.5, S.940-951
  16. Spink, A.; Danby, S.; Mallan, K.; Butler, C.: Exploring young children's web searching and technoliteracy (2010) 0.00
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    Source
    Journal of documentation. 66(2010) no.2, S.191-206
  17. Kim, J.H.; Barnett, G.A.; Park, H.W.: ¬A hyperlink and issue network analysis of the United States Senate : a rediscovery of the Web as a relational and topical medium (2010) 0.00
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    Abstract
    Politicians' Web sites have been considered a medium for organizing, mobilizing, and agenda-setting, but extant literature lacks a systematic approach to interpret the Web sites of senators - a new medium for political communication. This study classifies the role of political Web sites into relational (hyperlinking) and topical (shared-issues) aspects. The two aspects may be viewed from a social embeddedness perspective and three facets, as K. Foot and S. Schneider ([2002]) suggested. This study employed network analysis, a set of research procedures for identifying structures in social systems, as the basis of the relations among the system's components rather than the attributes of individuals. Hyperlink and issue data were gathered from the United States Senate Web site and Yahoo. Major findings include: (a) The hyperlinks are more targeted at Democratic senators than at Republicans and are a means of communication for senators and users; (b) the issue network found from the Web is used for discussing public agendas and is more highly utilized by Republican senators; (c) the hyperlink and issue networks are correlated; and (d) social relationships and issue ecologies can be effectively detected by these two networks. The need for further research is addressed.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1598-1611
  18. Thelwall, M.; Sud, P.: ¬A comparison of methods for collecting web citation data for academic organizations (2011) 0.00
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    Abstract
    The primary webometric method for estimating the online impact of an organization is to count links to its website. Link counts have been available from commercial search engines for over a decade but this was set to end by early 2012 and so a replacement is needed. This article compares link counts to two alternative methods: URL citations and organization title mentions. New variations of these methods are also introduced. The three methods are compared against each other using Yahoo!. Two of the three methods (URL citations and organization title mentions) are also compared against each other using Bing. Evidence from a case study of 131 UK universities and 49 US Library and Information Science (LIS) departments suggests that Bing's Hit Count Estimates (HCEs) for popular title searches are not useful for webometric research but that Yahoo!'s HCEs for all three types of search and Bing's URL citation HCEs seem to be consistent. For exact URL counts the results of all three methods in Yahoo! and both methods in Bing are also consistent. Four types of accuracy factors are also introduced and defined: search engine coverage, search engine retrieval variation, search engine retrieval anomalies, and query polysemy.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1488-1497
  19. Breton, P.: ¬The culture of the Internet and the Internet as cult : social fears and religious fantasies (2011) 0.00
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    Footnote
    Originaltitel: Le culte de l'Internet : une menace pour le lien social? (1999). Rez. in: ZfBB 58(2011) H.3/4, S.239-240 (U. Jochum)
    Pages
    188 S
  20. Aksoy, C.; Can, F.; Kocberber, S.: Novelty detection for topic tracking (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.4, S.777-795

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