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LEADER: 08928cam 2201153Ii 4500
001 ocn914472161
003 OCoLC
005 20210804130105.0
008 150727s2015 sz ob 000 0 eng d
006 m o d
007 cr cnu|unuuu||
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020 $a9783319185521$q(electronic bk.)
020 $a3319185527$q(electronic bk.)
020 $a3319185519$q(print)
020 $a9783319185514$q(print)
020 $z9783319185514
024 7 $a10.1007/978-3-319-18552-1$2doi
024 8 $a10.1007/978-3-319-18
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037 $acom.springer.onix.9783319185521$bSpringer Nature
050 4 $aZA4482$b.T73 2015eb
072 7 $aCOM$x060150$2bisacsh
072 7 $aUNF$2bicssc
072 7 $aUYQE$2bicssc
082 04 $a006.7$223
245 00 $aTransparency in social media :$btools, methods and algorithms for mediating online interactions /$cSorin Adam Matei, Martha G. Russell, Elisa Bertino, editors.
264 1 $aCham :$bSpringer,$c2015.
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aComputational social sciences
588 0 $aOnline resource; title from PDF title page (Ebsco, viewed July 28, 2015).
504 $aIncludes bibliographical references.
505 0 $aPart I. Overtures to Transparency in Social Media -- Introduction -- Socio-Computational Frameworks, Tools and Algorithms for Supporting Transparent Authorship in Social Media Knowledge Markets: Lessons from the second KredibleNet Workshop -- Part II. Assessing Provenance and Pathways in Social Media: Case studies, methods and tools -- Robust Aggregation of Inconsistent Information -- Concepts and Research Directions -- Weaponized Crowdsourcing -- The Structures of Twitter Crowds and Conversations -- Visible Effort: Visualizing and measuring group structuration through social entropy -- Stepwise segmented regression analysis: An iterative statistical algorithm to detect and quantify evolutionary and revolutionary transformations in longitudinal data -- Towards Bottom-up Decision Making and Collaborative Knowledge Generation in Urban Infrastructure Projects through Online Social Media -- Biometric-Based User Authentication and Activity Level Detection in a Collaborative Environment -- Part III. Improving transparency through documentation and curation -- In the Flow: Evolving from Utility Based Social Medium to Community Peer -- Ostinato: The exploration-automation cycle of user-centric, process-automated data-driven visual network analytics -- Visual Analytics of User-influence based Dynamic Social Networks using Twitter Data -- Transparency, control and content generation on Wikipedia: Editorial strategies and technical affordances -- Part IV Transparency in social media: ethical and critical dimensions -- Truth Telling and Deception in Internet Society -- Embedding Privacy and Ethical Values in Big Data Technology -- Strategies for critical understanding of social media content.
520 $aThe volume presents, in a synergistic manner, significant theoretical and practical contributions in the area of social media reputation and authorship measurement, visualization, and modeling. The book justifies and proposes contributions to a future agenda for understanding the requirements for making social media authorship more transparent. Building on work presented in a previous volume of this series, Roles, Trust, and Reputation in Social Media Knowledge Markets, this book discusses new tools, applications, services, and algorithms that are needed for authoring content in a real-time publishing world. These insights may help people who interact and create content through social media better assess their potential for knowledge creation. They may also assist in analyzing audience attitudes, perceptions, and behavior in informal social media or in formal organizational structures. In addition, the volume includes several chapters that analyze the higher order ethical, critical thinking, and philosophical principles that may be used to ground social media authorship. Together, the perspectives presented in this volume help us understand how social media content is created and how its impact can be evaluated. The chapters demonstrate thought leadership through new ways of constructing social media experiences and making traces of social interaction visible. Transparency in Social Media aims to help researchers and practitioners design services, tools, or methods of analysis that encourage a more transparent process of interaction and communication on social media. Knowing who has added what content and with what authority to a specific online social media project can help the user community better understand, evaluate and make decisions and, ultimately, act on the basis of such information.
546 $aEnglish.
650 0 $aUser-generated content.
650 0 $aInformation superhighway$xSocial aspects.
650 0 $aOnline identities.
650 0 $aKnowledge management.
650 7 $aMathematical physics.$2bicssc
650 7 $aSocial research & statistics.$2bicssc
650 7 $aApplied mathematics.$2bicssc
650 7 $aSociety & social sciences.$2bicssc
650 7 $aData mining.$2bicssc
650 7 $aCOMPUTERS$xWeb$xUser Generated Content.$2bisacsh
650 7 $aInformation superhighway$xSocial aspects.$2fast$0(OCoLC)fst00973085
650 7 $aKnowledge management.$2fast$0(OCoLC)fst00988184
650 7 $aOnline identities.$2fast$0(OCoLC)fst01740515
650 7 $aUser-generated content.$2fast$0(OCoLC)fst01743487
653 00 $asystemen
653 00 $asystems
653 00 $acomputerwetenschappen
653 00 $acomputer sciences
653 00 $acomputertechnieken
653 00 $acomputer techniques
653 00 $asociale wetenschappen
653 00 $asocial sciences
653 00 $acomputernetwerken
653 00 $acomputer networks
653 00 $adatamining
653 00 $adata mining
653 10 $aInformation and Communication Technology (General)
653 10 $aInformatie- en communicatietechnologie (algemeen)
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aMatei, Sorin A.$q(Sorin Adam),$d1965-$eeditor.
700 1 $aRussell, Martha G.,$eeditor.
700 1 $aBertino, Elisa,$eeditor.
776 08 $iPrinted edition:$z9783319185514
830 0 $aComputational social sciences.
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856 40 $3SpringerLink$uhttps://link.springer.com/book/10.1007/978-3-319-18551-4
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