Accuracy in Online Media

Accuracy is at the core of what journalists do and it amounts to journalistic commitment to report without errors. This tenet of journalism is now in danger, because of the influence of digitalization, changes in media landscapes, and the utilization of the assertation model of journalism. In this study, we used a combination of content analysis and visual network analysis to investigate how subjective errors are disseminated through an online environment, how time/speed influences the propagation of errors, and what the error correction procedures/routines are. The results demonstrate that 69% of the analyzed stories contained errors, and the main cause of such errors was the use of secondary sources, instead of primary ones, these errors transcend national borders and, time/speed had only a minor role in the emergence and correction of the errors, etc. Out of the 107 media websites analyzed, only seventeen provide certain modalities of requesting error correction.

Measurements of Entropic Uncertainty Relations in Neutron Optics

The emergence of the uncertainty principle has celebrated its 90th anniversary recently. For this occasion, the latest experimental results of uncertainty relations quantified in terms of Shannon entropies are presented, concentrating only on outcomes in neutron optics. The focus is on the type of measurement uncertainties that describe the inability to obtain the respective individual results from joint measurement statistics. For this purpose, the neutron spin of two non-commuting directions is analyzed. Two sub-categories of measurement uncertainty relations are considered: noise–noise and noise–disturbance uncertainty relations. In the first case, it will be shown that the lowest boundary can be obtained and the uncertainty relations be saturated by implementing a simple positive operator-valued measure (POVM). For the second category, an analysis for projective measurements is made and error correction procedures are presented.