國立虎尾科技大學 |

Transparency in Social Media = Tools, Methods and Algorithms for Mediating Online Interactions /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Transparency in Social Media/ edited by Sorin Adam Matei, Martha G. Russell, Elisa Bertino.
Reminder of title:	Tools, Methods and Algorithms for Mediating Online Interactions /
other author:	Matei, Sorin Adam.
Description:	VI, 318 p. 78 illus., 67 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-319-18552-1
ISBN:	9783319185521

Transparency in Social Media = Tools, Methods and Algorithms for Mediating Online Interactions /
Transparency in Social MediaTools, Methods and Algorithms for Mediating Online Interactions /[electronic resource] :edited by Sorin Adam Matei, Martha G. Russell, Elisa Bertino. - 1st ed. 2015. - VI, 318 p. 78 illus., 67 illus. in color.online resource. - Computational Social Sciences,2509-9574. - Computational Social Sciences,.

Part 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.

The 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.

ISBN: 9783319185521

Standard No.: 10.1007/978-3-319-18552-1doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Transparency in Social Media = Tools, Methods and Algorithms for Mediating Online Interactions /
LDR:05048nam a22004215i 4500 001 961404
003 DE-He213
005 20201107222446.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319185521 $9 978-3-319-18552-1
024 7 $a 10.1007/978-3-319-18552-1 $2 doi
035 $a 978-3-319-18552-1
050 4 $a QA76.9.D343
072 7 $a UNF $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 006.312 $2 23
245 1 0 $a Transparency in Social Media $h [electronic resource] : $b Tools, Methods and Algorithms for Mediating Online Interactions / $c edited by Sorin Adam Matei, Martha G. Russell, Elisa Bertino.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a VI, 318 p. 78 illus., 67 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Computational Social Sciences, $x 2509-9574
505 0 $a Part 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 $a The 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.
650 0 $a Data mining. $3 528622
650 0 $a Physics. $3 564049
650 0 $a Social sciences. $3 572679
650 0 $a System theory. $3 566168
650 0 $a Application software. $3 528147
650 1 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Applications of Graph Theory and Complex Networks. $3 1113468
650 2 4 $a Methodology of the Social Sciences. $3 669263
650 2 4 $a Complex Systems. $3 888664
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 669920
700 1 $a Matei, Sorin Adam. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1062972
700 1 $a Russell, Martha G. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1067014
700 1 $a Bertino, Elisa. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 675398
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319185514
776 0 8 $i Printed edition: $z 9783319185538
776 0 8 $i Printed edition: $z 9783319362625
830 0 $a Computational Social Sciences, $x 2509-9574 $3 1255801
856 4 0 $u https://doi.org/10.1007/978-3-319-18552-1
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)