Abstract
The overwhelming amount of news content published online every day has made it increasingly difficult to perform macro-level analysis of the news landscape. Visual exploration tools harness both computing power and human perception to assist in making sense of large data collections. In this paper, we employed three visualization tools to explore a dataset comprising one million articles published by news organizations and blogs. The visual analysis of the dataset revealed that 1) news and blog sources evaluate very differently the importance of similar events, granting them distinct amounts of coverage, 2) there are both dissimilarities and overlaps in the publication patterns of the two source types, and 3) the content's direction and diversity behave differently over time. Copyright © 2016 for the individual papers by the paper's authors.

Abstract
Malaria is one of the most severe public health problems worldwide. It is estimated that 3.3 billion people live in areas at risk of malaria transmission, and in 2010 caused around 655,000 deaths, 91% of them in the African Region. In this study we assess if the mHealth application “MalariaScope” developed by Fraunhofer Portugal AICOS (FhP AICOS) found to be usable and satisfactory by users from a European country, Portugal, can achieve similar positive results in an African country, Mozambique, which is one of its intended contexts of use. To this end, an academic partner from that African country conducted locally a usability evaluation of the application following the same procedure with participants with similar scientific backgrounds to the Portuguese counterparts. A comparison of the usability metrics of the two evaluations found no significant differences between the Portuguese and Mozambican set of users. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.

Abstract
In this paper, we present the tools of the MediaViz project, a work-in progress platform that aims to provide researchers, academics and professionals from the media field with a set of analytical and exploratory resources to answer high level and complex questions about the online media panorama, in an eficient, visual and interactive way. Our approach consists of aggregating and processing news data from multiple online sources, and provide programatic access to it through an Application Programming Interface (API). The visualization tools leverage the data provided by the API, allowing users to interact, explore and interrogate that information. Through the use of data visualization techniques, we aim to characterize the publication patterns of multiple online news sources by analyzing and comparing distinct dimensions. Dimensions of interest include the frequency and flow of publications and social shares throughout time, and the geographic coverage of online news outlets. We present some of the developed visualization tools and describe how they can offer meaningful insights by providing a bird's-eye view of distinct characteristics of the online mediascape. © 2015 ACM.

Abstract
In this article we survey the historical background and development of information and data visualization, and an overview of the intersection of data visualization with storytelling applied to the field of data journalism, where it finds its most widespread use in narrative visualizations. We start by explaining why the mere act of visualization can be highly useful to readers, helping them discover patterns and comprehend information. Backed by historical references, we will describe how some of the first data visualizations were used to explain facts, understand certain events, and determine courses of action. We will then outline how storytelling and narrative techniques are being currently used with data visualization to leverage the power of visual expression. Our goal is to characterize storytelling with data as a vibrant and interesting field that current journalism practices employ to help readers understand and form opinions on complex facts. By presenting concepts like storytelling with data and data stories, we aim to spark interest in further research in the applications of data visualization and narrative. © 2015 ACM.

Abstract
Non-instrumental dimensions, the aspects of a product that go beyond its ability to help achieve goals efficiently, are increasingly important in User Experience (UX) research. These dimensions, which include qualities like aesthetics and symbolism, are mainly assessed by self-reports, research has shown. However, respondents can provide wrong answers, willingly, due to concerns like social desirability and self-presentation, or unwillingly, due to the inability to access their inner states. We explored if one implicit measuring method, the Implicit Association Test (IAT), can be used to complement or replace self-report measures. Participants completed six IATs and explicit measures to determine their attitudes toward products represented by pictures of their interfaces. Two non-instrumental dimensions were assessed: valence and self-identification. Overall, implicit and explicit measures displayed a medium correlation. When comparing the correlations between the IATs for the two assessed dimensions and the corresponding explicit measures, similar strong effects were found. This suggests that the IAT bears further exploration as a complement or alternative to selfreport methods. Copyright © IARIA, 2014.

Abstract
The increasing prevalence of Open Science has brought reproducibility to the center of discussion of the scientific community as a requirement for ensuring the transparency and correctness of a research workflow. The current publishing landscape is evolving, as shown by the emergence of notebook technologies powering a new generation of interactive Web Journals. These use state-of-the-art interactive graphical visualizations and on-demand data processing to research papers, allowing readers to trace every step of the process, from raw data to the finalized visualization. Since there are many Research Notebook technologies and interactive graphical visualization solutions to choose from, we present a summary comparative overview of Web Journals and the Notebook engines that power the interactive, data driven visualizations inside their publications. Given our focus on visualization, our metrics are the support for the most advanced, popular and widely adopted data visualization frameworks. We conclude that Jupyter Notebook is currently the best alternative for the average user, given its popularity and support, combined with broad support for powerful and high-level interactive visualization grammars.