We examine how a diverse global readership assigns trust to Wikipedia articles, and the strategies they use to assess Wikipedia’s credibility. Through surveys and interviews, we develop and refine a Wikipedia trust taxonomy that describes the mechanisms by which readers assess the credibility of Wikipedia articles. Our findings suggest that readers draw on direct experience, established online content credibility indicators, and their own mental models of Wikipedia’s editorial process in their credibility assessments. Our findings can help the development of general online information assessment frameworks and the design of open collaboration systems to support credibility evaluation and trust calibration.
This article studies open-source 3D printer manufacturers’ business models, as well as the strategies into which these models fit. To do so, we use the concepts of business model innovation and specific capabilities. The analysis of the particularities of the projects and of the associated companies reveals two “pure” open-hardware strategies, the first one based on the temporary exploitation of the free/libre/open hardware community as a complementary resources, the second one based on the construction of a sustainable collaborative activity in order to maintain dynamic capabilities that are hard to imitate.
Block-based languages have been used as a facilitator to teach programming to newcomer and end-user programming students. Another alternative is to abstract the programming domain by using educational robots. Such approaches face some challenges. Block-based languages are far different than conventional programming languages, resulting in an abrupt transition between the two paradigms. On the other hand, commercial educational robots are limited to predesigned projects, which bounds students' creativity. In this work, we propose an intermediate language (between blocks and traditional language that focuses on Arduino, allowing a wide range and student-designed projects. Preliminary results show that our language is simpler than the native Arduino language and that it would be a preferred alternative for beginner students of a computer science undergraduate course.
Motion Capture systems are crucial in many fields, and Mobile Robotics is one of them. This paper describes an Open Source robotic framework to standardize the use of motion capture systems called MOCAP4ROS2. This framework features a layered architecture that allows building applications that use Motion Capture systems regardless of the specific system model/vendor. The challenges are technical and social: on the one hand, resolving synchronization and representation issues; on the other hand, involving the community to reach a consensus on the necessary interfaces. MOCAP4ROS2 has been implemented in ROS2 and already has drivers (we understand a driver for MOCA4ROS2 as a ROS2 node that publish the MOCAP system information) for today’s main commercial systems.
In this paper, we will focus on improving the quality of open data offered through open data portals by engaging with citizens using open source tools. To do so, we will evaluate current open source solutions from the data engineering field, selecting those better suited towards collaborative workflows. We will propose a methodology to evaluate errors in open datasets and notify public administrations, resulting in better overall quality and more trustworthy and transparent processes.
