Journalistic genres in teaching of journalism in Spain. A historical review

This article shows the influence that journalistic genres had on the first organisation of communication studies in Spain as well as the role they remain to play in the teaching of journalism. A review is done starting from the origins of the didactics of genres, continuing with the role of genres in the beginning of regulated studies of journalism, and finalising with an analysis of their place in present education programmes which reveals that practical and theoretical knowledge of the genres are still a main objective in the training of future journalists in Spain.

A Data Model for Content Modelling of Temporal Media

This paper describes a data model for content representation of temporal media in an IP based sensor network. The model is formed by introducing the idea of semantic-role from linguistics into the underlying concepts of formal event representation with the aim of developing a common event model. The architecture of a prototype system for a multi camera surveillance system, based on the proposed model is described. The important aspects of the proposed model are its expressiveness, its ability to model content of temporal media, and its suitability for use with a natural language interface. It also provides a platform for temporal information fusion, as well as organizing sensor annotations by help of ontologies.

Data on carotid intima-media thickness and lipoprotein subclasses in type 1 diabetes from the Diabetes Control and Complications Trial and the Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC)

Type 1 diabetes (T1DM) is associated with increased risk of macrovascular complications. We examined longitudinal associations of serum conventional lipids and nuclear magnetic resonance (NMR)-determined lipoprotein subclasses with carotid intima-media thickness (IMT) in adults with T1DM (n=455) enrolled in the Diabetes Control and Complications Trial (DCCT). Data on serum lipids and lipoproteins were collected at DCCT baseline (1983-89) and were correlated with common and internal carotid IMT determined by ultrasonography during the observational follow-up of the DCCT, the Epidemiology of Diabetes Interventions and Complications (EDIC) study, at EDIC 'Year 1' (199-1996) and EDIC 'Year 6' (1998-2000). This article contains data on the associations of DCCT baseline lipoprotein profiles (NMR-based VLDL & chylomicrons, IDL/LDL and HDL subclasses and 'conventional' total, LDL-, HDL-, non-HDL-cholesterol and triglycerides) with carotid IMT at EDIC Years 1 and 6, stratified by gender. The data are supplemental to our original research article describing detailed associations of DCCT baseline lipids and lipoprotein profiles with EDIC Year 12 carotid IMT (Basu et al. in press) [1].

From the high ground to the swamp: A model for immersive journalism research

This article examines a reflexive, praxis-based methodology for conducting journalism research from a practitioner-academic perspective. Journalism research methods that are interactive, iterative and which rest on a dynamic communicative partnership between academics and practitioners, offer the best way for understanding change in our dynamic field. This permits the researcher to coalesce and strengthen their identity as a practitioner-academic and develop research projects that are mutually beneficial for advancing scholarship and practice. Drawing on reflexive methodologies in the human sciences, such as hermeneutics, cybernetics and constructivism, this article envisions an immersive approach embracing phenomenology and Gestalt as a fully reflexive method of data collection.

Eye tracking data representation and visualization : on information and communication studies at CETAC.MEDIA

Eye tracking has become a preponderant technique in the evaluation of user interaction and behaviour with study objects in defined contexts. Common eye tracking related data representation techniques offer valuable input regarding user interaction and eye gaze behaviour, namely through fixations and saccades measurement. However, these and other techniques may be insufficient for the representation of acquired data in specific studies, namely because of the complexity of the study object being analysed. This paper intends to contribute with a summary of data representation and information visualization techniques used in data analysis within different contexts (advertising, websites, television news and video games). Additionally, several methodological approaches are presented in this paper, which resulted from several studies developed and under development at CETAC.MEDIA - Communication Sciences and Technologies Research Centre. In the studies described, traditional data representation techniques were insufficient. As a result, new approaches were necessary and therefore, new forms of representing data, based on common techniques were developed with the objective of improving communication and information strategies. In each of these studies, a brief summary of the contribution to their respective area will be presented, as well as the data representation techniques used and some of the acquired results.

Workflow data exchange semantics, object discovery & integration architecture for cross media production & distribution

There has been a clear lack of common data exchange semantics for inter-organisational workflow management systems where the research has mainly focused on technical issues rather than language constructs. This paper presents the neutral data exchanges semantics required for the workflow integration within the AXAEDIS framework and presents the mechanism for object discovery from the object repository where little or no knowledge about the object is available. The paper also presents workflow independent integration architecture with the AXAEDIS Framework.

A survey of data mining techniques for social media analysis

Social network has gained remarkable attention in the last decade. Accessing social network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the web 2.0 technologies has become more affordable. People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters. The heavy reliance on social network sites causes them to generate massive data characterised by three computational issues namely; size, noise and dynamism. These issues often make social network data very complex to analyse manually, resulting in the pertinent use of computational means of analysing them. Data mining provides a wide range of techniques for detecting useful knowledge from massive datasets like trends, patterns and rules [44]. Data mining techniques are used for information retrieval, statistical modelling and machine learning. These techniques employ data pre-processing, data analysis, and data interpretation processes in the course of data analysis. This survey discusses different data mining techniques used in mining diverse aspects of the social network over decades going from the historical techniques to the up-to-date models, including our novel technique named TRCM. All the techniques covered in this survey are listed in the Table.1 including the tools employed as well as names of their authors.

Simultaneous activities in the household and residential electricity demand in Spain

Recent research and policy studies on the low-carbon future highlight the importance of flexible electricity demand. This might be problematic particularly for residential electricity demand, which is related to simultaneous consumers’ practices in the household. This paper analyses issues of simultaneity in residential electricity demand in Spain. It makes use of the 2011 Spanish Time Use Survey data with comparisons from the previous Spanish Time Use Survey and the Harmonised European Time Use Surveys. Findings show that media activities are associated the highest levels of continuity and simultaneity, particularly in the early and late parts of the evening during weekdays.

O projeto Media Cloud Brasil: uma análise do tratamento de informações em ambientes de big data

EMAp - Escola de Matemática Aplicada

A influência da mídia na personalização política dos acadêmicos de jornalismo

This paper aims to present a survey of Journalism students from UNESP (Brazil) and from the University of Seville (Spain) which gathered data to assess the perception of the influence of the media on political decisions in this segment. Through empirical research - qualitative and quantitative – was observed, as a result, that digital media is still gaining ground in political campaigns and the effectiveness of actions organized through on line universe which are beginning to be proven, from the perspective of students. Furthermore, it was possible to realize the criticality that is developed within universities making students able to analyze the context in which they are in

Mining linkedin social media: Tecniche di data e text mining applicate a recommender system per la ricerca ed offerta di lavoro

La tesi riguarda lo sviluppo di recommender system che hanno lo scopo di supportare chi è alla ricerca di un lavoro e le aziende che devono selezionare la giusta figura. A partire da un insieme di skill il sistema suggerisce alla persona la posizione lavorativa più affine al suo profilo, oppure a partire da una specifica posizione lavorativa suggerisce all'azienda la persona che più si avvicina alle sue esigenze.