Socio-Computational Frameworks, Tools and Algorithms for Supporting Transparent Authorship in Social Media Knowledge Markets

This chapter presents a summary of the themes, topics, methods and case studies presented at the Kredible.net workshop on Reputation, Trust and Authority, held at Stanford University in 2013. The workshop brought together scholars from a variety of disciplines to explore how—amidst the Internet’s enormous volume of content and relationships—certain topics, concepts and individuals rise to prominence, develop strong reputations, gain followers and establish credibility and trust. The projects presented in this paper explore the emergence of social roles, the creation of value, and the perception of credibility and trustworthiness in online information. They combine social science insights into the structure and nature of online interaction with advances in computational science, data visualization, graph analysis and natural language processing. The methods and results presented in this paper offer innovative statistical strategies, models, and methodologies for navigating the large and complex data sets produced by online content.