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In order to develop a validated model to teach key conceptsand values on the right to information and transparency to young people, the "IRIS" program was designed during the 2017-2018 academic year, which was applied as part of the "Philosophy" course of the First Year of High School students of six Secondary Education Institutes of five municipalities of the Region of Murcia. Its objectives were: a) Prepare and teach a Learning Unit on Transparency and Right to Information, in accordance with the standards of the Philosophy curriculum of the Region of Murcia. b) Identify initial perceptions of the students of the Region regarding concepts as Transparency and Open Government. c) Design a Contest on dissertations and videos on transparency and good governance, aimed at the students participating in the project. e) Evaluate results and identify recommendations to improve the program. After the evaluation we concluded that objectives had been achieved, and have proposed some recommendations to generalize and consolidate the acquisition of this citizen competence: a specific training plan for teachers, the inclusion of this standard on transparency in the autonomic curriculum, and that is necessary to develop a set of materials, texts and practical tasks to make easier the application to the teaching staff.

This paper presents an experience made for the Chair Free Social Librarianship (CaLiBiSo ), Buenos Aires University over Services and information needs of the community GLTTIBQ in Argentina. We have designed a workshop which aims to use information technology and communication to increase student motivation and improve, therefore, the teaching-learning process.

Three qualitative methodologies that can be applied to the study of the vulnerable users of public libraries are described and proposed: The interview, the participant observation and the discussion group. In order to validate these methodologies, it is described the process of using them in a research carried out in the Regional Library of Murcia, in which we researched the motivations and main uses, the social interaction in the library, the effects of the crisis in the library organization and in these users and their degree of competence and digital empowerment. It was concluded the usefulness of these methodologies for user studies, identifying factors that are beyond statistical techniques, such as the different discourses on socialization that take place in the library and the valuation that vulnerable users make of relationships and learning Performed in the same.

The objective of the research is to evaluate algorithms for automatic classification of content, originally designed for thematic categorization of content and news compiled with RESYNC platform. The evaluation process is conducted with forms specifically designed to determine the degree of relevance of content classified by the evaluators. Finally, it shows that the algorithm evaluated, has an accuracy of 71%. It was also determined that the highest ranked topics are those related to finance, law and politics.

The objective of this research is to develop an automatic classification system for the contents retrieved through the Resync platform specializing in the investigation of sources of information media. This investigation is justified due to the lack of automated methods to organize the information gathered and the need to scrutinize the thematic categories addressed by the media by country. To resolve these problems, we transform the Eurovoc multilingual thesaurus in a pseudo-ontology vocabulary that is used as a qualifier for the documentary corpus. The test collection used has 400,000 contents from Mexican and Spaniard media published during the months of June-July 2011. Additionally, are designed and tested 5 automatic classification algorithms, accurate consultation and generic classification using the vocabulary above, for their harmonization with the collection of evidence. You get all the quantitative results of the experiment, concluding a progressive escalation in the percentage of classified content, given by the precision of the algorithm and its conditioning. Finally, the basis for qualitative evaluation of the classification made by the system, in order to perfect the process described herein.