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Bronstein, J.; Gazit, T.; Perez, O.; Bar-Ilan, J.; Aharony, N.; Amichai-Hamburger, Y.: ¬An examination of the factors contributing to participation in online social platforms (2016)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 68(2016) no.6, S.793-818
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Zhitomirsky-Geffet, M.; Bar-Ilan, J.: Towards maximal unification of semantically diverse ontologies for controversial domains (2014)
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- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 66(2014) no.5, S.494-518
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Zhitomirsky-Geffet, M.; Bar-Ilan, J.; Levene, M.: Testing the stability of "wisdom of crowds" judgments of search results over time and their similarity with the search engine rankings (2016)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 68(2016) no.4, S.407-427
-
Bar-Ilan, J.: Information hub blogs (2005)
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- Source
- Journal of information science. 31(2005) no.4, S.297-307
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Bar-Ilan, J.; Gutman,T.: How do search engines respond to some non-English queries? (2005)
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- Journal of information science. 31(2005) no.1, S.13-
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Lazinger, S.S.; Peritz, B.C.; Bar-Ilan, J.: Using a local area network as an interface to wide area networks in library and information science education (1993)
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- Pages
- S.651-660
-
Bar-Ilan, J.; Levene, M.: ¬The hw-rank : an h-index variant for ranking web pages (2015)
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- Source
- Scientometrics. 102(2015) no.3, S.2247-2253
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Bar-Ilan, J.: Methods for measuring search engine performance over time (2002)
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- Source
- Journal of the American Society for Information Science and technology. 53(2002) no.4, S.308-319
-
Bar-Ilan, J.; Keenoy, K.; Yaari, E.; Levene, M.: User rankings of search engine results (2007)
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- Abstract
- In this study, we investigate the similarities and differences between rankings of search results by users and search engines. Sixty-seven students took part in a 3-week-long experiment, during which they were asked to identify and rank the top 10 documents from the set of URLs that were retrieved by three major search engines (Google, MSN Search, and Yahoo!) for 12 selected queries. The URLs and accompanying snippets were displayed in random order, without disclosing which search engine(s) retrieved any specific URL for the query. We computed the similarity of the rankings of the users and search engines using four nonparametric correlation measures in [0,1] that complement each other. The findings show that the similarities between the users' choices and the rankings of the search engines are low. We examined the effects of the presentation order of the results, and of the thinking styles of the participants. Presentation order influences the rankings, but overall the results indicate that there is no "average user," and even if the users have the same basic knowledge of a topic, they evaluate information in their own context, which is influenced by cognitive, affective, and physical factors. This is the first large-scale experiment in which users were asked to rank the results of identical queries. The analysis of the experimental results demonstrates the potential for personalized search.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.9, S.1254-1266
-
Bar-Ilan, J.; Zhitomirsky-Geffet, M.; Miller, Y.; Shoham, S.: ¬The effects of background information and social interaction on image tagging (2010)
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- Journal of the American Society for Information Science and Technology. 61(2010) no.5, S.940-951
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Shema, H.; Bar-Ilan, J.; Thelwall, M.: How is research blogged? : A content analysis approach (2015)
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- Abstract
- Blogs that cite academic articles have emerged as a potential source of alternative impact metrics for the visibility of the blogged articles. Nevertheless, to evaluate more fully the value of blog citations, it is necessary to investigate whether research blogs focus on particular types of articles or give new perspectives on scientific discourse. Therefore, we studied the characteristics of peer-reviewed references in blogs and the typical content of blog posts to gain insight into bloggers' motivations. The sample consisted of 391 blog posts from 2010 to 2012 in Researchblogging.org's health category. The bloggers mostly cited recent research articles or reviews from top multidisciplinary and general medical journals. Using content analysis methods, we created a general classification scheme for blog post content with 10 major topic categories, each with several subcategories. The results suggest that health research bloggers rarely self-cite and that the vast majority of their blog posts (90%) include a general discussion of the issue covered in the article, with more than one quarter providing health-related advice based on the article(s) covered. These factors suggest a genuine attempt to engage with a wider, nonacademic audience. Nevertheless, almost 30% of the posts included some criticism of the issues being discussed.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.6, S.1136-1149
-
Lazinger, S.S.; Bar-Ilan, J.; Peritz, B.C.: Internet use by faculty members in various disciplines : a comparative case study (1997)
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- Source
- Journal of the American Society for Information Science. 48(1997) no.6, S.508-518
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Bar-Ilan, J.: Evaluating the stability of the search tools Hotbot and Snap : a case study (2000)
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- Source
- Online information review. 24(2000) no.6, S.439-449
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Bar-Ilan, J.: On the overlap, the precision and estimated recall of search engines : a case study of the query 'Erdös' (1998)
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- Source
- Scientometrics. 42(1998) no.2, S.207-228
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Bar-Ilan, J.; Peritz, B.C.: Evolution, continuity, and disappearance of documents on a specific topic an the Web : a longitudinal study of "informetrics" (2004)
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- Journal of the American Society for Information Science and Technology. 55(2004) no.11, S.980-990
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Bar-Ilan, J.: ¬The Web as an information source on informetrics? : A content analysis (2000)
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- Source
- Journal of the American Society for Information Science. 51(2000) no.5, S.432-443
-
Bar-Ilan, J.: ¬The use of Web search engines in information science research (2003)
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- Annual review of information science and technology. 38(2004), S.231-288
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Bar-Ilan, J.; Peritz, B.C.: Informetric theories and methods for exploring the Internet : an analytical survey of recent research literature (2002)
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- Library trends. 50(2002) no.3, S.371-392
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Bar-Ilan, J.: What do we know about links and linking? : a framework for studying links in academic environments (2005)
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- Information processing and management. 41(2005) no.4, S.973-986
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Bar-Ilan, J.; Azoulay, R.: Map of nonprofit organization websites in Israel (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.6, S.1142-1167
