The first major publication of the KredibleNet project is out. The volume Roles, Trust, and Reputation in Social Media Knowledge Markets: Theory and Methods discusses 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 also proposes a future research agenda related to these issues—with the ultimate goal of shaping 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.
Roles, Trust, and Reputation in Social Media Knowledge Markets exposes issues that have not been satisfactorily dealt with in the current literature. 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 here 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.
Part I Introduction
A Research Agenda for the Study of Entropic Social Structural Evolution, Functional Roles, Adhocratic Leadership Styles, and Credibility in Online Organizations and Knowledge Markets
Sorin Adam Matei, Elisa Bertino, Michael Zhu, Chuanhai Liu, Luo Si and Brian Britt
Building Trusted Social Media Communities: A Research Roadmap for Promoting Credible Content
Part II Methods for Researching Trust and Credibility
Semantic and Social Spaces: Identifying Keyword Similarity with Relations
Yun Huang, CindyWeng, Baozhen Lee and Noshir Contractor
Emergent Social Roles in Wikipedia’s Breaking News Collaborations
Brian C. Keegan
Words and Networks: How Reliable Are Network Data Constructed from Text Data?
Predicting Low-Quality Wikipedia Articles Using User’s Judgements
Ning Zhang, Lingyun Ruan and Luo Si
Part III Tools for Enhancing Trust and Transparency
From Invisible Algorithms to Interactive Affordances: Data After the Ideology of Machine Learning
Part IV Novel Research Directions
Breaking the Iron Law of Oligarchy: Computational Institutions, Organizational Fidelity, and Distributed Social Control
Cultural Differences in Social Media: Trust and Authority
Andrew Gelman and Keith O’Rourke
Part V Research Opportunities and Gaps in Trust, Credibility, and Authorship Research
The Trajectory of Current and Future Knowledge Market Research: Insights from the First KredibleNet Workshop
Sorin Adam Matei, Brian Britt, Elisa Bertino and Jeremy Foote