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Roles, Trust, and Reputation in Social Media Knowledge Markets

Theory and Methods

  • Book
  • © 2015

Overview

Editors:
  1. Elisa Bertino

    1. Computer Science, Purdue University, West Lafayette, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Sorin Adam Matei

    1. Brian Lamb School of Communication, Purdue University, West Lafayette, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Proposes new methods for understanding how opinion leaders and influential authors emerge on social media knowledge markets
  • Advances new approaches to theory-based understanding of how social media reputations emerge and shape content and public opinion
  • Highlights the most important understudied or promising areas of research regarding reputation and authorship on social media
  • Reviews existing accomplishments in the field of reputation research on social media knowledge markets
  • Features a multidisciplinary team of authors, covering several disciplines
  • Includes both senior, established authors and emerging, innovative voices
  • Includes supplementary material: sn.pub/extras

Part of the book series: Computational Social Sciences (CSS)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xiv
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  3. Methods for Researching Trust and Credibility

    1. Front Matter

      Pages 45-45
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    2. Semantic and Social Spaces: Identifying Keyword Similarity with Relations

      • Yun Huang, Cindy Weng, Baozhen Lee, Noshir Contractor
      Pages 47-55

    3. Emergent Social Roles in Wikipedia’s Breaking News Collaborations

      • Brian C. Keegan
      Pages 57-79

    4. Words and Networks: How Reliable Are Network Data Constructed from Text Data?

      • Jana Diesner
      Pages 81-89

    5. Predicting Low-Quality Wikipedia Articles Using User’s Judgements

      • Ning Zhang, Lingyun Ruan, Luo Si
      Pages 91-99

  4. Tools for Enhancing Trust and Transparency

    1. Front Matter

      Pages 101-101
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    2. From Invisible Algorithms to Interactive Affordances: Data After the Ideology of Machine Learning

      • Bernie Hogan
      Pages 103-117

  5. Novel Research Directions

    1. Front Matter

      Pages 119-119
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    2. Breaking the Iron Law of Oligarchy: Computational Institutions, Organizational Fidelity, and Distributed Social Control

      • Howard T. Welser
      Pages 121-144

    3. Cultural Differences in Social Media: Trust and Authority

      • Mei Kobayashi
      Pages 145-160

    4. Convincing Evidence

      • Andrew Gelman, Keith O’Rourke
      Pages 161-165

  6. Research Opportunities and Gaps in Trust, Credibility, and Authorship Research

    1. Front Matter

      Pages 167-167
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    2. The Trajectory of Current and Future Knowledge Market Research: Insights from the First KredibleNet Workshop

      • Sorin Adam Matei, Brian Britt, Elisa Bertino, Jeremy Foote
      Pages 169-196

  7. Back Matter

    Pages 197-198
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Keywords

About this book

Knowledge and expertise, especially of the kind that can shape public opinion, have been traditionally the domain of individuals holding degrees awarded by higher learning institutions or occupying formal positions in notable organizations. Expertise is validated by reputations established in an institutionalized marketplace of ideas with a limited number of “available seats” and a stringent process of selection and retention of names, ideas, topics and facts of interest. However, the social media revolution, which has enabled over two billion Internet users not only to consume, but also to produce information and knowledge, has created a secondary and very active informal marketplace of ideas and knowledge. Anchored by platforms like Wikipedia, YouTube, Facebook and Twitter, this informal marketplace has low barriers to entry and has become a gigantic and potentially questionable, knowledge resource for the public at large. Roles, Trust and Reputation in Social Media Knowledge Markets will discuss some of the emerging trends in defining, measuring and operationalizing reputation as a new and essential component of the knowledge that is generated and consumed online. The book will propose a future research agenda related to these issues. The ultimate goal of research agenda being to shape the next generation of theoretical and analytic strategies needed for understanding how knowledge markets are influenced by social interactions and reputations built around functional roles. The authors, including leading scholars and young innovators, will share with the readers some of the main lessons they have learned from their own work in these areas and will discuss the issues, topics and sub-areas that they find under-studied or that promise the greatest intellectual payoff in the future. The discussion will be placed in the context of social network analysis and “big data” research. Roles, Trust and Reputation in Social Media Knowledge Markets exposes issuesthat have not been satisfactorily dealt with in the current literature, as the research agenda in reputation and authorship is still emerging. In a broader sense, the volume aims to change the way in which knowledge generation in social media spaces is understood and utilized. The tools, theories and methodologies proposed by the contributors offer concrete avenues for developing the next generation of research strategies and applications that will help: tomorrow’s information consumers make smarter choices, developers to create new tools and researchers to launch new research programs.

Editors and Affiliations

  • Computer Science, Purdue University, West Lafayette, USA

    Elisa Bertino

  • Brian Lamb School of Communication, Purdue University, West Lafayette, USA

    Sorin Adam Matei

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