Credibility

About: Credibility is a research topic. Over the lifetime, 13730 publications have been published within this topic receiving 331944 citations. The topic is also known as: believability & plausibility.

People on Drugs: Credibility of User Statements in Health Communities

Abstract: Online health communities are a valuable source of information for patients and physicians. However, such user-generated resources are often plagued by inaccuracies and misinformation. In this work we propose a method for automatically establishing the credibility of user-generated medical statements and the trustworthiness of their authors by exploiting linguistic cues and distant supervision from expert sources. To this end we introduce a probabilistic graphical model that jointly learns user trustworthiness, statement credibility, and language objectivity. We apply this methodology to the task of extracting rare or unknown side-effects of medical drugs --- this being one of the problems where large scale non-expert data has the potential to complement expert medical knowledge. We show that our method can reliably extract side-effects and filter out false statements, while identifying trustworthy users that are likely to contribute valuable medical information.

Credibility and Economic Value in the Visual Arts

Abstract: The paper states that the quality of visual arts cannot be measured objectively. An artist must be credible to the public in order to generate economic value. How is credibility and thus economic value generated on the market? To judge the quality of arts, it takes experts. They form a worldwide network relationship and apply cultural knowledge, a highly specific type of knowledge which requires lifelong learning. Cultural knowledge is only in part of a factual nature and includes subjective elements. Since the public cannot in general ascertain the quality of an artist's oeuvre directly, experts must themselves be credible to the public in order to lend credibility to a given oeuvre. It is shown that the process by which experts generate public credibility for a given oeuvre is path dependent, i.e., may by chance end up at inferior solutions.

Trust in information sources as a source for trust: a fuzzy approach

Abstract: The aim of this paper is to show how relevant is a trust model based on beliefs and their credibility.The approaches to the study of trust are various and very different from each of other. In our view, just a socio-cognitive approach to trust would be able to analyse the sub-components on which the final decision to trust or not is taken. In this paper we show an implementation of our socio-cognitive model of trust developed using the so-called Fuzzy Cognitive Maps. The model allows to distinguish between internal and external attributions and it introduced a degree of trust derived from the credibility of the trust beliefs, while the credibility of the beliefs derives from their sources and the sources' number, convergence, reliability (i.e. trust).With this implementation we show how the different components may change and how their impact can change depending on the specific situation and from the agent heuristics or personality. In particular, we analyse the different nature of the belief sources and their trustworthiness. We assumed different types of belief sources. For each trustier's belief one should consider what the content of the belief is, who/what the source is, how this source evaluates the belief, how the trustier evaluates this source (with respect to this belief). In addition for considering the contribution of different sources we need a theory of how they combine. The interesting thing in this paper is that starting from finding the sources of trust we are obliged to consider the trustworthiness of these sources.