Finding Good Predictors in Blogosphere Based on Temporal Analysis of Posting Patterns

抄録

Evaluating credibility of online information is important as the Web starts playing major role in our lives. As it is often difficult for users to manually estimate the level of trustworthiness of encountered content, providing automatic support for assessment of credibility levels of online information should improve user satisfaction. In this paper, we approach the problem of credibility evaluation from the author viewpoint. In particular, we propose analyzing temporal characteristics of posting behavior of bloggers. Our hypothesis is that precursor bloggers who persistently post content ahead of the community are often credible authors. The topics discussed by such bloggers frequently become common topics inside the community of bloggers. We propose categorization of blogging behavior depending on the time delay and content similarity between published posts and demonstrate several methods for calculating blogger scores.