The use of tags and tag clouds to discern credible content in online health message forums.

Background: Web sites with health-oriented content are potentially harmful if inaccurate or inappropriate medical information is used to make health-related decisions. Checklists, rating systems and guidelines have been developed to help people determine what is credible, but recent Internet technologies emphasize applications that are collaborative in nature, including tags and tag clouds, where site users 'tag' or label online content, each using their own labelling system. Concepts such as the date, reference, author, testimonial and quotations are considered predictors of credible content.

Designing health innovation networks using complexity science and systems thinking: the CoNEKTR model.

Rationale, Aims And Objectives: Complex problems require strategies to engage diverse perspectives in a focused, flexible manner, yet few options exist that fit with the current health care and public health system constraints. The Complex Network Electronic Knowledge Translation Research model (CoNEKTR) brings together complexity science, design thinking, social learning theories, systems thinking and eHealth technologies together to support a sustained engagement strategy for social innovation support and enhancing knowledge integration.

Methods: The CoNEKTR model adapts elements of other face-to-face social organizing methods and combines it with social media and electronic networking tools to create a strategy for idea generation, refinement and social action.