An experimental server for stock trading autonomous agents is presented and made available, together with an agent shell for swift development. The server, written in Java, was implemented as proof-of-concept for an agent trade server for a real financial exchange.

Fake news, malicious rumors, fabricated reviews, generated images and videos, are today spread at an unprecedented rate, making the task of manually assessing data veracity for decision-making purposes a daunting task. Hence, it is urgent to explore possibilities to perform automatic veracity assessment. In this work we review the literature in search for methods and techniques representing state of the art with regard to computerized veracity assessment. We study what others have done within the area of veracity assessment, especially targeted towards social media and open source data, to understand research trends and determine needs for future research. The most common veracity assessment method among the studied set of papers is to perform text analysis using supervised learning. Regarding methods for machine learning much has happened in the last couple of years related to the advancements made in deep learning. However, very few papers make use of these advancements. Also, the papers in general tend to have a narrow scope, as they focus on solving a small task with only one type of data from one main source. The overall veracity assessment problem is complex, requiring a combination of data sources, data types, indicators, and methods. Only a few papers take on such a broad scope, thus, demonstrating the relative immaturity of the veracity assessment domain. © 2019 The Authors

Electronic commerce has added a new complex issue to international trade. It is based upon the assumption that buyers and sellers conduct business with very little information about each other. This paper is on the importance and development of trust in electronic commerce. The importance of these assets in commercial relations is discussed. The paper describes how reputation is protected as a legal asset and how laws or legal principles support trust relationships in trade. Finally, the importance of developing legal guidelines for trust and reputation as a counterbalance to the lack of morality on the Internet is discussed. © 2001 Elsevier Science B.V.