The goal of this workshop is to provide a chance for sharing ideas on the different aspects of veracity in Big Data and the Web. On one hand, it is important to have mechanisms  to verify the correctness of data in knowledge bases that are obtained through automatic approaches. On the other hand, the propagation of false and misleading information in the Web, particularly in social media, is a social plague that calls for efficient actions.

The determination of the veracity of data and, therefore, the credibility of the source of this data poses several research challenges and is one of the major concerns in the domain of Big Data. In fact, veracity is often cited, along with volume, velocity, variety and value, as one of the five aspects (5V) of big data management.

Efficient tools need to be developed in order to evaluate the veracity of the facts stored in knowledge bases, such as DBpedia, Yago and GeoNames. These knowledge bases play an essential role in several critical applications, hence the importance of  efficient mechanisms for the verification of their content.

Moreover, the intentional propagation of false information on the Web, particularly in the social media, is a plague that the mainstream media recently acknowledged and that needs to be efficiently adressed. 

Several major problems deserve to be studied in this context, such as the evaluation of veracity while taking spatio-temporal information into account, the possibility of considering multiple truths, the identification of copies and the dependence/influence between sources and, finally, the need of mechanisms to explain the veracity of facts.

• Identification of incorrect facts in knowledge bases.
• Identification and propagation of false information in the Web, including the press and the social media.
• Determination of the credibility of data sources and social media users.
• Identification of the copies between data sources and their exploitation for the evaluation of veracity.
• Argumentation and rebuttal of false statements in the social media.
• Visualisation of the reasoning steps on which the determination of veracity is based.
• Enrichment of knowledge bases with spatio-temporal information linked to veracity.
• Use of spatio-temporal contexts for the determination of veracity.
• Development of tools for determining the veracity.
• Exploitation of crowdsourcing.
• Evaluation of the quality of methods for the determination of veracity.
• Benchmarks for the determination of veracity.