Search (55 results, page 1 of 3)

0.04424435 = product of:
  0.0884887 = sum of:
    0.039516103 = weight(_text_:services in 4052) [ClassicSimilarity], result of:
      0.039516103 = score(doc=4052,freq=4.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.22946067 = fieldWeight in 4052, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.03125 = fieldNorm(doc=4052)
    0.04897259 = sum of:
      0.023551589 = weight(_text_:management in 4052) [ClassicSimilarity], result of:
        0.023551589 = score(doc=4052,freq=2.0), product of:
          0.15810528 = queryWeight, product of:
            3.3706124 = idf(docFreq=4130, maxDocs=44218)
            0.046906993 = queryNorm
          0.14896142 = fieldWeight in 4052, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.3706124 = idf(docFreq=4130, maxDocs=44218)
            0.03125 = fieldNorm(doc=4052)
      0.025421001 = weight(_text_:22 in 4052) [ClassicSimilarity], result of:
        0.025421001 = score(doc=4052,freq=2.0), product of:
          0.1642603 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046906993 = queryNorm
          0.15476047 = fieldWeight in 4052, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03125 = fieldNorm(doc=4052)
  0.5 = coord(2/4)

Abstract

Purpose The purpose of this paper is to investigate the relationship between internet filtering, emotions and information-seeking behaviour. Design/methodology/approach In total, 15 postgraduate students at an Iranian university participated in the study which involved a questionnaire, search tasks with think aloud narratives, and interviews. Findings Internet content filtering results in some changes in the information-seeking behaviour of users. Users who face website blocking use a variety of methods to bypass filtering, mostly by using anti-filter software. Filtering encourages users to use channels such as social networking services to share resources and it increases the use of library material by some of the users. Users who face filtering during their search are more likely to visit more pages of results and click on more hits in the results, unlike users who do not experience filtering who rarely go past the first page. Blocking users' access to content stimulates their curiosity and they become more determined to access the content. In terms of the affective aspect, filtering causes several negative emotions (e.g. anger, disgust, sadness and anxiety) and the main reason for these emotions is not the inability to access information but the feeling of being controlled and not having freedom. Research limitations/implications The study was limited to a small number of postgraduate students in social sciences and not generalisable to all user groups. The implication is that in countries where filtering is used, libraries can play an important role in serving users and reducing users negative emotions, especially if libraries can take advantage of technologies such as social media for their services. Originality/value This is first study to address the effects of internet filtering on information-seeking behaviour and emotions. The study shows that internet filtering causes negative emotions and results in some changes in information-seeking behaviour.

Date

20. 1.2015 18:30:22

Source

Aslib journal of information management. 69(2017) no.4, S.408-425

0.029788423 = product of:
  0.059576847 = sum of:
    0.041913155 = weight(_text_:services in 3964) [ClassicSimilarity], result of:
      0.041913155 = score(doc=3964,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2433798 = fieldWeight in 3964, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046875 = fieldNorm(doc=3964)
    0.017663691 = product of:
      0.035327382 = sum of:
        0.035327382 = weight(_text_:management in 3964) [ClassicSimilarity], result of:
          0.035327382 = score(doc=3964,freq=2.0), product of:
            0.15810528 = queryWeight, product of:
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.046906993 = queryNorm
            0.22344214 = fieldWeight in 3964, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.046875 = fieldNorm(doc=3964)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

The Semantic Web in general and the Linking Open Data initiative in particular encourage institutions to publish, share and interlink their data. This has considerable potential for libraries, which can complement their data by linking it to other, external data sources. This paper details the first linked open data service of the German National Library. The focus is on the challenges met during the inception of this service. Extrapolating from our experiences, the paper further discusses the German National Library's perspective on the future of library data exchange and the potential for the creation of globally interlinked library data. We outline how this process can be facilitated and how new services can be offered based on these growing metadata collections.

Content

Vortrag im Rahmen der Session 93. Cataloguing der WORLD LIBRARY AND INFORMATION CONGRESS: 76TH IFLA GENERAL CONFERENCE AND ASSEMBLY, 10-15 August 2010, Gothenburg, Sweden - 149. Information Technology, Cataloguing, Classification and Indexing with Knowledge Management

0.022297796 = product of:
  0.04459559 = sum of:
    0.027942104 = weight(_text_:services in 303) [ClassicSimilarity], result of:
      0.027942104 = score(doc=303,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.1622532 = fieldWeight in 303, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.03125 = fieldNorm(doc=303)
    0.016653487 = product of:
      0.033306975 = sum of:
        0.033306975 = weight(_text_:management in 303) [ClassicSimilarity], result of:
          0.033306975 = score(doc=303,freq=4.0), product of:
            0.15810528 = queryWeight, product of:
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.046906993 = queryNorm
            0.21066327 = fieldWeight in 303, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.03125 = fieldNorm(doc=303)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Purpose - The purpose of this paper is to examine the question of whether modern digital information technologies damage their users' cognitive capacities in some way, and to speculate on how librarians should adapt their services as a consequence of the controversy surrounding this question. Design/methodology/approach - The paper reviews some recent literature on this subject, combined with an examination of the role played by technology, librarians and government in determining the nature of our society's response to problematic aspects of the use of digital, internet-based applications in education. Findings - The paper finds that highly differentiated and highly polemical attitudes to this subject mean that librarians have to acknowledge the existence of important challenges to the apparent consensus about the way information technologies should be used in education in Western societies. This has important consequences for the approach to collection building (the balance between digital versus print provision), for library building design, and for the value which should be placed on systematic information literacy teaching. The existence of such an important debate should also embolden information professionals to make their own insights into these issues more widely known. Research limitations/implications - Some of the findings in this paper are amenable to further development through practitioner-oriented research; however, the bulk of the content used for this paper is derived from the literature on this topic, so there is no original research data presented to back up the assertions made by the author. It is simply an account of a debate which has to be acknowledged by librarians. Practical implications - The implications of the issues under discussion in the paper are presented in clear practical terms, and the consequences for library management made explicit. Social implications - The clash between two different theories of learning and information provision is debated and the links with issues of government policy are explored. The social connections between education and wealth generation are brought into this debate. Originality/value - The paper provides a useful, up-to-date briefing on recent controversial issues in education, information management and socio-economic policy making.

0.017288294 = product of:
  0.069153175 = sum of:
    0.069153175 = weight(_text_:services in 3770) [ClassicSimilarity], result of:
      0.069153175 = score(doc=3770,freq=4.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.40155616 = fieldWeight in 3770, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3770)
  0.25 = coord(1/4)

Abstract

Die seinerzeit 19-jährige Studentin Katrin Scheibe war 2015 Teilnehmerin an einem Seminar der Uni Düsseldorf über "Social Live"-Streaming Services und hat mit anderen Studenten zusammen eine Live-Übertragung einer Sitzung über YouNow durchgeführt. Innerhalb des rund einstündigen Programms schnellte die Zuschauerzahl auf weit über 200 hoch. Die meist jugendlichen Zuseher empfanden es als höchst interessant, eine Uni-Lehrveranstaltung hautnah miterleben zu dürfen. Ebenso waren die Studenten von dem aktuellen und zeitnahen Thema begeistert und publizierten ihre Forschungsresultate unter einem Pseudonym (Mathilde B. Friedländer) in internationalen Fachzeitschriften.

0.015303934 = product of:
  0.061215736 = sum of:
    0.061215736 = sum of:
      0.029439485 = weight(_text_:management in 1622) [ClassicSimilarity], result of:
        0.029439485 = score(doc=1622,freq=2.0), product of:
          0.15810528 = queryWeight, product of:
            3.3706124 = idf(docFreq=4130, maxDocs=44218)
            0.046906993 = queryNorm
          0.18620178 = fieldWeight in 1622, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.3706124 = idf(docFreq=4130, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1622)
      0.03177625 = weight(_text_:22 in 1622) [ClassicSimilarity], result of:
        0.03177625 = score(doc=1622,freq=2.0), product of:
          0.1642603 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046906993 = queryNorm
          0.19345059 = fieldWeight in 1622, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1622)
  0.25 = coord(1/4)

Date

20. 1.2015 18:30:22

Source

Aslib journal of information management. 66(2014) no.3, S.134-155

0.014818538 = product of:
  0.059274152 = sum of:
    0.059274152 = weight(_text_:services in 76) [ClassicSimilarity], result of:
      0.059274152 = score(doc=76,freq=4.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.344191 = fieldWeight in 76, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046875 = fieldNorm(doc=76)
  0.25 = coord(1/4)

Abstract

The user-centered approach to information retrieval emphasizes the importance of a user model in determining what information will be most useful to a particular user, given their context. Mediated search provides an opportunity to elaborate on this idea, as an intermediary's elicitations reveal what aspects of the user model they think are worth inquiring about. However, empirical evidence is divided over whether intermediaries actually work to develop a broadly conceived user model. Our research revisits the issue in a web research services setting, whose characteristics are expected to result in more thorough user modeling on the part of intermediaries. Our empirical study confirms that intermediaries engage in rich user modeling. While intermediaries behave differently across settings, our interpretation is that the underlying user model characteristics that intermediaries inquire about in our setting are applicable to other settings as well.

0.012348781 = product of:
  0.049395125 = sum of:
    0.049395125 = weight(_text_:services in 4461) [ClassicSimilarity], result of:
      0.049395125 = score(doc=4461,freq=4.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.28682584 = fieldWeight in 4461, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4461)
  0.25 = coord(1/4)

Abstract

Given the prevalence of community-driven knowledge services (CKSs) such as Yahoo! Answers and Naver Knowledge In, it has become important to understand the effect of social networks on user behaviors in CKS environments. CKSs allow various relationships between askers and answerers as well as among answerers. This study classifies social ties in CKSs into three kinds of ties: answering ties, co-answering ties, and getting answers ties. This study examines the influence of the structural and relational attributes of social networks on the quality of answers at CKSs for answering ties, co-answering ties, and getting answers ties. Data collected from the top-100 heavy users of Yahoo! Answers and of Naver Knowledge In are used to test the research model. The analysis results show that the centrality of the answering ties significantly influences the quality of answers while the average strength of the answering ties has an insignificant effect on the quality of answers. Interestingly, both the centrality and average strength of the co-answering ties negatively affect the quality of answers. Moreover, the centrality and average strength of getting answers ties do not significantly influence the quality of answers.

0.012348781 = product of:
  0.049395125 = sum of:
    0.049395125 = weight(_text_:services in 1724) [ClassicSimilarity], result of:
      0.049395125 = score(doc=1724,freq=4.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.28682584 = fieldWeight in 1724, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1724)
  0.25 = coord(1/4)

Abstract

Many discussions exist regarding the credibility of information on the Internet. Similar discussions happen on the interpretation of social scientific research data, for which information triangulation has been proposed as a useful method. In this article, we explore a design theory-consisting of a kernel theory, meta-requirements, and meta-designs-for software and services that triangulate Internet information. The kernel theory identifies 5 triangulation methods based on Churchman's inquiring systems theory and related meta-requirements. These meta-requirements are used to search for existing software and services that contain design features for Internet information triangulation tools. We discuss a prototyping study of the use of an information triangulator among 72 college students and how their use contributes to their opinion formation. From these findings, we conclude that triangulation tools can contribute to opinion formation by information consumers, especially when the tool is not a mere fact checker but includes the search and delivery of alternative views. Finally, we discuss other empirical propositions and design propositions for an agenda for triangulator developers and researchers. In particular, we propose investment in theory triangulation, that is, tools to automatically detect ethically and theoretically alternative information and views.

0.012243148 = product of:
  0.04897259 = sum of:
    0.04897259 = sum of:
      0.023551589 = weight(_text_:management in 4440) [ClassicSimilarity], result of:
        0.023551589 = score(doc=4440,freq=2.0), product of:
          0.15810528 = queryWeight, product of:
            3.3706124 = idf(docFreq=4130, maxDocs=44218)
            0.046906993 = queryNorm
          0.14896142 = fieldWeight in 4440, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.3706124 = idf(docFreq=4130, maxDocs=44218)
            0.03125 = fieldNorm(doc=4440)
      0.025421001 = weight(_text_:22 in 4440) [ClassicSimilarity], result of:
        0.025421001 = score(doc=4440,freq=2.0), product of:
          0.1642603 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046906993 = queryNorm
          0.15476047 = fieldWeight in 4440, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03125 = fieldNorm(doc=4440)
  0.25 = coord(1/4)

Date

20. 1.2015 18:30:22

Source

Aslib journal of information management. 67(2015) no.1, S.2-26

0.010478289 = product of:
  0.041913155 = sum of:
    0.041913155 = weight(_text_:services in 2526) [ClassicSimilarity], result of:
      0.041913155 = score(doc=2526,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2433798 = fieldWeight in 2526, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046875 = fieldNorm(doc=2526)
  0.25 = coord(1/4)

Abstract

This article will showcase the aims and research goals of the project entitled "Transforming Libraries and Archives through Crowdsourcing", recipient of a 2016 Institute for Museum and Library Services grant. This grant will be used to fund the creation of four bespoke text and audio transcription projects which will be hosted on the Zooniverse, the world-leading research crowdsourcing platform. These transcription projects, while supporting the research of four separate institutions, will also function as a means to expand and enhance the Zooniverse platform to better support galleries, libraries, archives and museums (GLAM institutions) in unlocking their data and engaging the public through crowdsourcing.

0.010478289 = product of:
  0.041913155 = sum of:
    0.041913155 = weight(_text_:services in 197) [ClassicSimilarity], result of:
      0.041913155 = score(doc=197,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2433798 = fieldWeight in 197, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046875 = fieldNorm(doc=197)
  0.25 = coord(1/4)

Abstract

Ausgehend von der Überzeugung, dass der Zugriff auf digitale Information künftig primär,wenn nicht sogar ausschließlich über mobile Endgeräte wie Smartphones und Tablets erfolgen wird, stellt die Bayerische Staatsbibliothek gegenwärtig ihre Basisdienste ebenso wie ihre digitalen Content-Angebote sukzessive als mobile Applikationen bereit. Zuerst wurden der Online-Katalog und die Website der Bibliothek als generische, auf allen gängigen Smartphone-Browsern lauffähige, mobile Applikationen programmiert. In einem weiteren Schritt hat die Bayerische Staatsbibliothek 5o digitalisierte Spitzenstücke ihres Bestandes als native App »Famous Books -Treasures of the Bavarian State Library« für iPad und iPhone bereitgestellt, darauf folgte im Frühling 2011 die App »Islamic Books - Oriental treasures of the Bavarian State Library«. Aktuell experimentiert die Bayerische Staatsbibliothek zudem mit Augmented-Reality-Anwendungen. In einer mobilen Applikation »Ludwig II.« soll digitalisierter Bibliothekscontent zum berühmten bayerischen »Märchenkönig« georeferenziert an herausragenden Wirkungsstätten des Königs wie Schloss Neuschwanstein als Augmented-Reality-Applikation angeboten werden. Der Artikel stellt die verschiedenen mobilen Services und Anwendungen der Bayerischen Staatsbibliothek vor, beleuchtet ihre technische Realisierung und bewertet die Chancen und Grenzen bibliothekarischer Dienste im mobilen Internet.

0.010478289 = product of:
  0.041913155 = sum of:
    0.041913155 = weight(_text_:services in 3955) [ClassicSimilarity], result of:
      0.041913155 = score(doc=3955,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2433798 = fieldWeight in 3955, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046875 = fieldNorm(doc=3955)
  0.25 = coord(1/4)

Abstract

Menschen in Deutschland ist Amazon vor allem bekannt als Onlinehändler, der ihnen fast alles nach Hause liefert: Bücher und Küchengeräte, Musik, Spielzeug und Möbel. Doch ist der USTechnologiekonzern mehr als ein riesiges Versandhaus - er ist auch ein gigantischer Datenspeicher. Diese Speicher nutzen inzwischen auch die Polizei, die Geheimdienste - und bald vielleicht auch das US-Militär. Zwischen den großen Cloud-Anbietern ist ein Kampf um einen Großauftrag entbrannt, mit dem das Pentagon seine weltweite Kriegsführung optimieren will. Amazon hat gute Chancen. Die »Neue Osnabrücker Zeitung« hatte Anfang März unter Berufung auf Behördenangaben berichtet, dass Amazons Tochterunternehmen Amazon Web Services die Bodycam-Aufnahmen der deutschen Bundespolizei auf ihren Cloudservern speichert. Damit ist die Bundespolizei nicht allein. Die CIA schloss schon 2013 einen Vertrag über etwa eine halbe Milliarde Dollar mit Amazon ab. Seitdem werden Daten des US-Geheimdienstes in der Cloud von Amazon gespeichert.

0.010478289 = product of:
  0.041913155 = sum of:
    0.041913155 = weight(_text_:services in 4220) [ClassicSimilarity], result of:
      0.041913155 = score(doc=4220,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2433798 = fieldWeight in 4220, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046875 = fieldNorm(doc=4220)
  0.25 = coord(1/4)

Abstract

Although people increasingly rely on online services to maintain their relationships, we know relatively little about what drives their use. To address this, I analyze data from a social networking site that started charging its users for an app that populates their e-mail address books with updated contact information. I find that purchase rates of the app were higher for users with large, structurally diverse networks - which contain several distinct social groups. Moreover, personal ties (i.e., family members and friends) increased purchase rates more than professional ties. I attribute the first effect to the difficulty of obtaining information about a large, diverse social network, which the app reduces, and the second effect to the regularity with which people use information about their personal ties.

0.008987681 = product of:
  0.035950724 = sum of:
    0.035950724 = product of:
      0.07190145 = sum of:
        0.07190145 = weight(_text_:22 in 4313) [ClassicSimilarity], result of:
          0.07190145 = score(doc=4313,freq=4.0), product of:
            0.1642603 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046906993 = queryNorm
            0.4377287 = fieldWeight in 4313, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=4313)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Date

22. 6.2018 14:22:02

0.008731907 = product of:
  0.03492763 = sum of:
    0.03492763 = weight(_text_:services in 3424) [ClassicSimilarity], result of:
      0.03492763 = score(doc=3424,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2028165 = fieldWeight in 3424, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3424)
  0.25 = coord(1/4)

Abstract

In recent years we have witnessed a significant growth of social-computing communities - online services in which users share information in various forms. As content contributions from participants are critical to the viability of these communities, it is important to understand what drives users to participate and share information with others in such settings. We extend previous literature on user contribution by studying the factors that are associated with various forms of participation in a large online photo-sharing community. Using survey and system data, we examine four different forms of participation and consider the differences between these forms. We build on theories of motivation to examine the relationship between users' participation and their motivations with respect to their tenure in the community. Amongst our findings, we identify individual motivations (both extrinsic and intrinsic) that underpin user participation, and their effects on different forms of information sharing; we show that tenure in the community does affect participation, but that this effect depends on the type of participation activity. Finally, we demonstrate that tenure in the community has a weak moderating effect on a number of motivations with regard to their effect on participation. Directions for future research, as well as implications for theory and practice, are discussed.

0.008731907 = product of:
  0.03492763 = sum of:
    0.03492763 = weight(_text_:services in 4448) [ClassicSimilarity], result of:
      0.03492763 = score(doc=4448,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2028165 = fieldWeight in 4448, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4448)
  0.25 = coord(1/4)

Abstract

Twitter, Facebook, and other related systems that we call social awareness streams are rapidly changing the information and communication dynamics of our society. These systems, where hundreds of millions of users share short messages in real time, expose the aggregate interests and attention of global and local communities. In particular, emerging temporal trends in these systems, especially those related to a single geographic area, are a significant and revealing source of information for, and about, a local community. This study makes two essential contributions for interpreting emerging temporal trends in these information systems. First, based on a large dataset of Twitter messages from one geographic area, we develop a taxonomy of the trends present in the data. Second, we identify important dimensions according to which trends can be categorized, as well as the key distinguishing features of trends that can be derived from their associated messages. We quantitatively examine the computed features for different categories of trends, and establish that significant differences can be detected across categories. Our study advances the understanding of trends on Twitter and other social awareness streams, which will enable powerful applications and activities, including user-driven real-time information services for local communities.

0.008731907 = product of:
  0.03492763 = sum of:
    0.03492763 = weight(_text_:services in 1635) [ClassicSimilarity], result of:
      0.03492763 = score(doc=1635,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2028165 = fieldWeight in 1635, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1635)
  0.25 = coord(1/4)

Abstract

Micro-blogging services such as Twitter represent constantly evolving, user-generated sources of information. Previous studies show that users search such content regularly but are often dissatisfied with current search facilities. We argue that an enhanced understanding of the motivations for search would aid the design of improved search systems, better reflecting what people need. Building on previous research, we present qualitative analyses of two sources of data regarding how and why people search Twitter. The first, a diary study (p?=?68), provides descriptions of Twitter information needs (n?=?117) and important meta-data from active study participants. The second data set was established by collecting first-person descriptions of search behavior (n?=?388) tweeted by twitter users themselves (p?=?381) and complements the first data set by providing similar descriptions from a more plentiful source. The results of our analyses reveal numerous characteristics of Twitter search that differentiate it from more commonly studied search domains, such as web search. The findings also shed light on some of the difficulties users encounter. By highlighting examples that go beyond those previously published, this article adds to the understanding of how and why people search such content. Based on these new insights, we conclude with a discussion of possible design implications for search systems that index micro-blogging content.

0.008731907 = product of:
  0.03492763 = sum of:
    0.03492763 = weight(_text_:services in 3426) [ClassicSimilarity], result of:
      0.03492763 = score(doc=3426,freq=2.0), product of:
        0.17221296 = queryWeight, product of:
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.046906993 = queryNorm
        0.2028165 = fieldWeight in 3426, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6713707 = idf(docFreq=3057, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3426)
  0.25 = coord(1/4)

Abstract

With the information overload of user-generated content in microblogging, users find it extremely challenging to browse and find valuable information in their first attempt. In this paper we propose a microblogging recommendation algorithm, TSI-MR (Topic-Level Social Influence-based Microblogging Recommendation), which can significantly improve users' microblogging experiences. The main innovation of this proposed algorithm is that we consider social influences and their indirect structural relationships, which are largely based on social status theory, from the topic level. The primary advantage of this approach is that it can build an accurate description of latent relationships between two users with weak connections, which can improve the performance of the model; furthermore, it can solve sparsity problems of training data to a certain extent. The realization of the model is mainly based on Factor Graph. We also applied a distributed strategy to further improve the efficiency of the model. Finally, we use data from Tencent Weibo, one of the most popular microblogging services in China, to evaluate our methods. The results show that incorporating social influence can improve microblogging performance considerably, and outperform the baseline methods.

0.0076486035 = product of:
  0.030594414 = sum of:
    0.030594414 = product of:
      0.06118883 = sum of:
        0.06118883 = weight(_text_:management in 4230) [ClassicSimilarity], result of:
          0.06118883 = score(doc=4230,freq=6.0), product of:
            0.15810528 = queryWeight, product of:
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.046906993 = queryNorm
            0.38701317 = fieldWeight in 4230, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.046875 = fieldNorm(doc=4230)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Abstract

This article presents conceptual navigation and NavCon, an architecture that implements this navigation in World Wide Web pages. NavCon architecture makes use of ontology as metadata to contextualize user search for information. Based on ontologies, NavCon automatically inserts conceptual links in Web pages. By using these links, the user may navigate in a graph representing ontology concepts and their relationships. By browsing this graph, it is possible to reach documents associated with the user desired ontology concept. This Web navigation supported by ontology concepts we call conceptual navigation. Conceptual navigation is a technique to browse Web sites within a context. The context filters relevant retrieved information. The context also drives user navigation through paths that meet his needs. A company may implement conceptual navigation to improve user search for information in a knowledge management environment. We suggest that the use of an ontology to conduct navigation in an Intranet may help the user to have a better understanding about the knowledge structure of the company.

Source

Information processing and management. 46(2010) no.4, S.413-425

0.007359871 = product of:
  0.029439485 = sum of:
    0.029439485 = product of:
      0.05887897 = sum of:
        0.05887897 = weight(_text_:management in 2336) [ClassicSimilarity], result of:
          0.05887897 = score(doc=2336,freq=8.0), product of:
            0.15810528 = queryWeight, product of:
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.046906993 = queryNorm
            0.37240356 = fieldWeight in 2336, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.3706124 = idf(docFreq=4130, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2336)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Abstract

Managing the constant flow of incoming messages is a daily challenge faced by knowledge workers who use technologies such as e-mail and other digital communication tools. This study focuses on the most ubiquitous of these technologies, e-mail, and unobtrusively explores the ongoing inbox-management activities of thousands of users worldwide over a period of 8 months. The study describes the dynamics of these inboxes throughout the day and the week as users strive to handle incoming messages, read them, classify them, respond to them in a timely manner, and archive them for future reference, all while carrying out the daily tasks of knowledge workers. It then tests several hypotheses about the influence of specific inbox-management behaviors in mitigating the causes of e-mail overload, and proposes a continuous index that quantifies one of these inbox-management behaviors. This inbox clearing index (ICI) expands on the widely cited trichotomous classification of users into frequent filers, spring cleaners, and no filers, as suggested by Whittaker and Sidner (1996). We propose that the ICI allows shifting the focus, from classifying users to characterizing a diversity of user behaviors and measuring the relationships between these behaviors and desired outcomes.