The Web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of information on the Web. Moreover, different websites often provide conflicting information on a subject. Several truth discovery methods have been proposed for various scenarios, and they have been successfully applied in diverse application domains. In this paper...

Truth discovery is a general name for broad range of statistical methods aimed to extract the correct answers questions, based on multiple coming from noisy sources. For example, workers in crowdsourcing platform. In this paper, we consider an extremely simple heuristic estimating workers' competence using average proximity other workers. We prove that estimates well actual level and enables se...

. More and more people choose to obtain news online in today’s world. However, in recent times, there exists many fake claims on web. Rumor detection has been a popular topic. Recent search on truth discovery still doesn’t satisfy the realistic requirments now. As most of them focus on structured data, others proposed a new method to detect fake news with unstructured data. That is combine sour...

Truth discovery has been widely studied in recent years as a fundamental means for resolving the con icts in multi-source data. Although many truth discovery methods have been proposed based on di erent considerations and intuitions, investigations show that no single method consistently outperforms the others. To select the right truth discovery method for a speci c application scenario, it be...

Social computing initiatives that mark a shift from personal computing towards computations involving collective action, are driving a dramatic evolution in modern decision-making. Decisionmakers or stakeholders can now tap into the power of tremendous numbers and varieties of information sources (crowds), capable of providing information for decisions that could impact individual or collective...

Truth discovery is a fundamental research topic, which aims at identifying the true value(s) of objects of interest given the conflicting multi-sourced data. Although considerable research efforts have been conducted on this topic, we can still point out two significant issues unsolved: i) single-valued assumption, i.e., current methods assume only one true value for each object, while in reali...