9 resultados para Communication online

em BORIS: Bern Open Repository and Information System - Berna - Suiça


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In this article we argue that it is pressing to study the “hybrid media system” at the intersection of online and offl ine communication and its potential for agenda building. The topic is relevant because it is argued that the internet off ers new opportunities of public infl uence for challengers without access to political decision making. Except for single case studies, little is known about the conditions under which these actors succeed. Informed by the research on agenda building we tackle with the mechanisms of online-offline media agenda building and the conditions under which challengers succeed to produce issue spill-over into conventional mass media. We develop a theoretical framework for investigating the linkage between online communication and traditional mass media and discuss how our model translates into empirical research. We conclude that the nature of online networks is critical for spill-over, but also the issue itself and the structure of the political system.

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Online reputation management deals with monitoring and influencing the online record of a person, an organization or a product. The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated information, which can rapidly have a disastrous influence on the online reputation of some of the entities. The author focuses on the Social Web and possibilities of its integration with the Semantic Web as resource for a semi-automated tracking of online reputations using imprecise natural language terms. The inherent structure of natural language supports humans not only in communication but also in the perception of the world. Thereby fuzziness is a promising tool for transforming those human perceptions into computer artifacts. Through fuzzy grassroots ontologies, the Social Semantic Web becomes more naturally and thus can streamline online reputation management. For readers interested in the cross-over field of computer science, information systems, and social sciences, this book is an ideal source for becoming acquainted with the evolving field of fuzzy online reputation management in the Social Semantic Web area. ​

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Online reputation management deals with monitoring and influencing the online record of a person, an organization or a product. The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated information, which can rapidly have a disastrous influence on the online reputation of some of the entities. This dissertation can be split into three parts: In the first part, possible fuzzy clustering applications for the Social Semantic Web are investigated. The second part explores promising Social Semantic Web elements for organizational applications,while in the third part the former two parts are brought together and a fuzzy online reputation analysis framework is introduced and evaluated. Theentire PhD thesis is based on literature reviews as well as on argumentative-deductive analyses.The possible applications of Social Semantic Web elements within organizations have been researched using a scenario and an additional case study together with two ancillary case studies—based on qualitative interviews. For the conception and implementation of the online reputation analysis application, a conceptual framework was developed. Employing test installations and prototyping, the essential parts of the framework have been implemented.By following a design sciences research approach, this PhD has created two artifacts: a frameworkand a prototype as proof of concept. Bothartifactshinge on twocoreelements: a (cluster analysis-based) translation of tags used in the Social Web to a computer-understandable fuzzy grassroots ontology for the Semantic Web, and a (Topic Maps-based) knowledge representation system, which facilitates a natural interaction with the fuzzy grassroots ontology. This is beneficial to the identification of unknown but essential Web data that could not be realized through conventional online reputation analysis. Theinherent structure of natural language supports humans not only in communication but also in the perception of the world. Fuzziness is a promising tool for transforming those human perceptions intocomputer artifacts. Through fuzzy grassroots ontologies, the Social Semantic Web becomes more naturally and thus can streamline online reputation management.

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Introduction With a three year project the assessment of communication skills within the Swiss Federal Licensing Examinations (FLE) shall be improved. As a first step a needs assessment among communication experts and medical students of the Swiss Medical Faculties will be performed. In this presentation the results of the students’ needs assessment will be presented. Methods A bilingual student’s online questionnaire will be developed by an expert panel taking relevant literature, the Swiss Catalogue of Learning Objectives and other consensus statements for communication (e.g., the European and Basler consensus statements) into account. With a think aloud study response process validity evidence will be sought. The questionnaire will focus on the following topics related to communication skills: (1) What has been taught?, (2) What has been assessed in the faculty exams?, (3) What has been assessed in the FLE?, (4) What should have been assessed in the FLE and how should the assessment be improved? Results Results of the students’ needs assessment will be available by the end of 2015 and be presented. Conclusions/ Take-home message We hope for valuable input for improving the assessment of communications skills within the FLE also from the students’ side. Results of the needs assessment from the students and experts will be combined and taken as input for an international expert symposium on how to improve the communication skills assessment within the FLE.