Pierpaolo Dondio

Learn More
The problem of identifying trustworthy information on the World Wide Web is becoming increasingly acute as new tools such as wikis and blogs simplify and democratize publications. Wikipedia is the most extraordinary example of this phenomenon and, although a few mechanisms have been put in place to improve contributions quality, trust in Wikipedia content(More)
The problem of identifying useful and trustworthy information on the World Wide Web is becoming increasingly acute as new tools such as wikis and blogs simplify and democratize publication. It is not hard to predict that in the future the direct reliance on this material will expand and the problem of evaluating the trustworthiness of this kind of content(More)
In this paper we analyze probabilistic argumentation frameworks (PAFs), defined as an extension of Dung abstract argumentation frameworks in which each argument is asserted with a probability . The debate around PAFs has so far centered on their theoretical definition and basic properties. This work contributes to their computational analysis by proposing a(More)
1. This paper proposes a generic method for identifying elements in a domain that can be used as trust evidences. As an alternative to external infrastructured approaches based on certificates or user recommendations we propose a computation based on evidences gathered directly from application elements that have been recognized to have a trust meaning.(More)
In this paper we investigate how temporal factors (i.e. factors computed by considering only the time-distribution of interactions) can be used as an evidence of an entity’s trustworthiness. While reputation and direct experience are the two most widely used sources of trust in applications, we believe that new sources of evidence and new(More)
The concept of social search has been acquiring importance in the WWW as large-scale collaborative computing environments have become feasible.This field focuses on the reader’s perspective in order to assign relevance and trustworthiness to web pages. Although current web searching technologies tend to rely on explicit human recommendations, these(More)
The World Wide Web is growing in size and with the proliferation of large-scale collaborative computing environments Social search has become increasingly important. The focal point of this recent field is to assign relevance and trustworthiness to web-pages by taking into account the reader’s perspective rather than web-masters’ point of view. Current(More)
This paper investigates the predictive power of online communities traffic in regard to stock prices. Using the largest dataset to date, spanning 8 years and almost the complete set of SP500 stocks, we analyze the predictive power of raw unstructured traffic without considering any sentiment associated. Our results partially challenge the assumption that(More)