Abstract

This work relates to the analysis of a form of specialization based on Data Journalism and news organizations (old Media companies) have been incorporating this specialty as innovation journalism. Data Journalism involves using statistical and visualization tools to create and tell stories better in new and attractive to the Internet audience. It is the evolution of what some years ago was known as Precision Journalism or Desktop Journalism.

The article, starting from an analytical contextualization, aims to demonstrate how Data Journalism, whose use is clear from existing technologies linked to data processing, supplementing the various forms and contents, giving way to a new specialty of Journalism and, specifically, Investigative Journalism.

Abstract

The effective deployment of the semantic web depends not just on technological developments, but also on applying guidelines for the process of publishing structured data on the Web. Part of the work of the W3C working group about data on the Web is focused on the identification of best practices and defining vocabularies to represent datasets. The maturity of the semantic web is reflected in the increasing importance of aspects related to the use of published data, types of licenses, trust, publication dynamics, and data reusing, among other processes.

Abstract

This paper conceptualizes the term big data and describes its relevance in social research and journalistic practices. We explain large-scale text analysis techniques such as automated content analysis, data mining, machine learning, topic modeling, and sentiment analysis, which may help scientific discovery in social sciences and news production in journalism. We explain the required e-infrastructure for big data analysis with the use of cloud computing and we asses the use of the main packages and libraries for information retrieval and analysis in commercial software and programming languages such as Python or R.

Abstract

This article is a summary of the different pathways to publish research data, of metrics for evaluating publishing and reuse, and of the existing services for measuring the reuse of research data. It is not yet possible to accurately analyze the metrics for open research data and this is one of the reasons why, in general, researchers do not include them in the assessment of their work. In order to further the use of these tools, it is necessary to increase the number of studies about these evaluation metrics.

Abstract

Advertising has traditionally used research as a way to know the consumer, test its campaigns, etc. Thus, data usage is already part of the strategic plan. However, the creative possibilities of data are yet to be fully exploited, especially those opportunities that provide personalization and immediacy. This paper analyzes data usage in advertising creativity through the case of Google’s Art, Copy & Code project and four of its campaigns. This analysis reveals many features that would add value for the user including joint use of various open web technologies and different devices, all within the framework of procedures and structures that are well-established in the advertising field.

Abstract

There is a growing number of open data initiatives that allow citizens to reuse public data sets through specifically designed applications. This paper presents an overview of these initiatives and their development in Spain, analyzing the open data sets available and the functions and features of the applications developed for this purpose. The information source used in this work is the portal http://datos.gob.es, of national scope which organizes and manages the public information catalog of Spanish administrations. This source offers information about these data sets and the applications and utilities developed. The analysis shows a diverse distribution of these open data sets that requires grouping by metacategories for its study and analysis. The level of development of the applications seems low but it may be due to the incipience on freely available data. In any case, the data sets related to infrastructures (especially transports) appear to be the main object of the applications developed so far in Spain in this context.

Abstract

The confluence of professionals specializing in interactive storytelling, information visualization, digital documentation and investigative reporting in digital newsrooms has allowed the rise of the so called structured journalism (SJ). SJ is a recent trend in digital journalism that considers the reuse, accumulation, revision and contrast of current information with archived information and associated metadata. It is defined as a system in which the information storage in databases is combined with the potential for exploitation and diffusion of digital journalism. It is a way of approaching the informational content in which direct accessibility to primary information, documents, and data is given priority, and in which the construction of the narrative is mediated by the user’s interactivity. In addition to obtaining information and writing news, structured journalism requires an efficient definition and structuring of the database in which that information is stored, the design of information layers and an interactive story.

Abstract

This article aims to offer a guide of observed practices based on the main results obtained after the two-year European Feder project (April 2013-15) ‘Public and private in mobile communications’ carried out at LabCom.IFP, Beira Interior University in Portugal. Both quantitative and qualitative methods were used (surveys, interviews, focus groups, content analysis, digital ethnography, observation ethnography, workshops, etc.) in order to describe how users manage their public, private, intimate and personal spheres within the mobile media ecosystem. Results obtained showed an increased awareness of the risks without a concomitant exploration of consequences, an extensively circumstantial behaviour pattern influenced by interface design and volatile policies, terms and conditions, and a lack of rational user behaviours and performances.

Abstract

Programmatic advertising as a process capable of offering advantages for companies, combining audience data management with automation/technology and the human factor is analyzed. The starting premise is that in order to solve the problem of advertising saturation, contents has to be connected with the individuals, one by one and in real time. This work brings together the academic and professional knowledge to analyze the keys to this new form of digital advertising and its main challenges. There is also a focus on synergies between the information sciences and the future of programmatic advertising.