In recent years, the growing importance of platforms for producing, sharing, and consuming news has been evident. However, several challenges associated with this growth have emerged, such as those linked disinformation authorship. article, which uses part data from a more extensive study local media in central region Portugal, we present results three focus groups editors, journalists, consume...

The interpretability of a machine learning model is essential for gaining insight into model behaviour. While some machine learning models (e.g., decision trees) are transparent, the majority of models used today are still black-boxes. Recent work in machine learning aims to analyse these models by explaining the basis of their decisions. In this work, we extend one such technique, called local...

We use the notion of quasilength to introduce a nonnegative real number hx(M) that is intended heuristically as a “measure” of the local cohomology module H I (M). It is defined as a limit or lim inf of normalized quasilengths: see §2. When x is understood from context we shall also refer to this real number as the h-content of M . The positivity of hx(R) gives a necessary condition for there t...

As the capabilities of mobile phones are increasing and they are able to consume different type of multimedia contents, it is important to provide an efficient content sharing solution for them. Since people usually store their content on their personal computer, we need an architecture for content sharing which supports mobiles and personal computers as well. In this paper we propose an innova...

In this paper we present an adaptive version of the update step in the lifting implementation of MCTF (Motion Compensated Temporal Filtering). We explicitly take into account the local image content in order to avoid ghosting artifacts in the updated low-pass frame, tuning the update weighting factor where such artifacts are more likely to be perceived. The proposed solution is integrated into ...