Verifying information is one of the core activities of journalism. However, recent research shows that many stories derive from unchecked information from news agencies and PR material. That being said, reporters who do not use this pre-packaged material, but who instead produce original stories based on independent research, might be journalists who stay devoted to the verification of information. Therefore, this study focuses on in-depth stories that originated inside the newsroom. We expected that these kinds of stories would be checked and double-checked, because time constraints are less important and these stories are characteristic of independent, quality journalism. Contrary to this expectation, the results show that even these kinds of stories are not always vetted. The lack of time was seldom mentioned as an excuse. Our research points to avoidance mechanisms which inhibit journalists from verifying their information.
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Abstract-Architecture Compliance Checking (ACC) is useful to bridge the gap between architecture and implementation. ACC is an approach to verify conformance of implemented program code to high-level models of architectural design. Static ACC focuses on the modular software architecture and on the existence of rule violating dependencies between modules. Accurate tool support is essential for effective and efficient ACC. This paper presents a study on the accuracy of ACC tools regarding dependency analysis and violation reporting. Seven tools were tested and compared by means of a custom-made test application. In addition, the code of open source system Freemind was used to compare the tools on the number and precision of reported violation and dependency messages. On the average, 74 percent of 34 dependency types in our custom-made test software were reported, while 69 percent of 109 violating dependencies within a module of Freemind were reported. The test results show large differences between the tools, but all tools could improve the accuracy of the reported dependencies and violations.
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Aim. This study aims to identify ways that allow studying how intellectually impaired persons showing challenging behaviour interact with space, without impacting their daily lives. Back-ground. Research about space that better suits these persons’ needs is challenging to conduct, since they may have difficulties expressing themselves verbally and are extremely sensitive to-wards sensory stimuli. Therefore, researchers collecting data may be disturbing and intrusive, and requires great caution. Tapping into existing data may be a promising alternative. Residential care organisations routinely collect data about residents during their regular work processes, such as personal information and incident registration. Also useful may be routinely collected spatial data, such as drawings and repair reports. This study explores how routinely collected data (RCD) can provide insight into how residents interact with space, without impacting their daily lives. Methods. We reflect on the possibilities of using RCD (related to resident or space) based on explorations in the context of a case study at a Dutch very-intensive-care facility. The data were analysed to identify general patterns, such as locations with a high density of incidents/repairs and verified initial findings by member checking with staff. Results. The RCD analysed provide a basic and relevant insight into incidents and repairs connected to challenging behaviour. However, most data were neither complete or relevant for analysis. Therefore, we dis-cussed the RCD were with staff and only then it was possible to draw conclusions regarding relevance of RCD and the residents-space interactions. Conclusions. Only in conjunction with an ex-tended approach on member checking the use of RCD seems relevant. RCD have little meaning of their own. But the combination of RCD with member checking seems to provide insight into the interaction between residents and space, without interfering with the residents’ daily lives.
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