Overview
- Proposes new methods for measuring, visualizing and modelling how opinion leaders and influential authors emerge in social media
- Advances new approaches to theory based tools, algorithms, methods or visualization techniques that can help ordinary users better understand the origin and motivations of a given social media unit of content
- Highlights the most important areas of research regarding the development of algorithms, tools and services for modeling social media authorship and reputation
Part of the book series: Computational Social Sciences (CSS)
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Table of contents (16 chapters)
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Front Matter
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Overtures to Transparency in Social Media
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Front Matter
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Assessing Provenance and Pathways in Social Media: Case Studies, Methods, and Tools
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Front Matter
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Improving Transparency Through Documentation and Curation
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Front Matter
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Transparency in Social Media: Ethical and Critical Dimensions
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Front Matter
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Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Transparency in Social Media
Book Subtitle: Tools, Methods and Algorithms for Mediating Online Interactions
Editors: Sorin Adam Matei, Martha G. Russell, Elisa Bertino
Series Title: Computational Social Sciences
DOI: https://doi.org/10.1007/978-3-319-18552-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-18551-4Published: 04 August 2015
Softcover ISBN: 978-3-319-36262-5Published: 15 October 2016
eBook ISBN: 978-3-319-18552-1Published: 22 July 2015
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: VI, 318
Number of Illustrations: 11 b/w illustrations, 67 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Applications of Graph Theory and Complex Networks, Methodology of the Social Sciences, Complex Systems, Computer Appl. in Social and Behavioral Sciences