Jornalismo no Metaverso : um breve estudo das práticas de jornalismo do G2 no Second Life

Este trabalho monográfico analisa as práticas de jornalismo do G2, blog pertencente ao portal de notícias da Globo G1, dentro do Second Life. Conceitos como ciberespaço e virtualidade são discutidos em um primeiro momento, bem como algumas teorias do jornalismo e questões acerca de fontes e rotinas produtivas no jornalismo tradicional e online. Junto à revisão de literatura, é realizada uma apresentação do Second Life, com detalhamento de suas regras e funcionamento. Além disso, uma descrição profunda dos processos de produção de notícias no metaverso é apresentada, unindo as informações obtidas por meio de entrevistas com os repórteres que trabalharam como avatares no mundo virtual. Na análise e discussão dessas práticas, constata-se, por fim, quais são os valores-notícia utilizados pelos jornalistas, como ocorre a rotina jornalística para produção de notícias e quais são as fontes de informação nesse ambiente virtual.This thesis analyzes the journalism practice of G2, a weblog that is part of the G1 portal, which is managed by Globo Organizations, on Second Life. Initially the cyberspace and virtuality concepts are discussed, and some of the journalism theories and also topics about sources and the online and the traditional journalism routine are presented. An explanation about Second Life is given in the literature review, showing details of its rules and its policies. In addition to that, a deep description of the newsmaking process in the metaverse is shown, gathering the information received from the interviews with the journalists who have worked in the virtual environment as avatars. Analyzing and discussing G2's journalism practice, this paper attempts to explain which are the newsworthiness criteria used by its professionals, how the newsmaking process is led and what the information sources are in the virtual environment

Jornalismo no Metaverso : um breve estudo das práticas de jornalismo do G2 no Second Life

Este trabalho monográfico analisa as práticas de jornalismo do G2, blog pertencente ao portal de notícias da Globo G1, dentro do Second Life. Conceitos como ciberespaço e virtualidade são discutidos em um primeiro momento, bem como algumas teorias do jornalismo e questões acerca de fontes e rotinas produtivas no jornalismo tradicional e online. Junto à revisão de literatura, é realizada uma apresentação do Second Life, com detalhamento de suas regras e funcionamento. Além disso, uma descrição profunda dos processos de produção de notícias no metaverso é apresentada, unindo as informações obtidas por meio de entrevistas com os repórteres que trabalharam como avatares no mundo virtual. Na análise e discussão dessas práticas, constata-se, por fim, quais são os valores-notícia utilizados pelos jornalistas, como ocorre a rotina jornalística para produção de notícias e quais são as fontes de informação nesse ambiente virtual.This thesis analyzes the journalism practice of G2, a weblog that is part of the G1 portal, which is managed by Globo Organizations, on Second Life. Initially the cyberspace and virtuality concepts are discussed, and some of the journalism theories and also topics about sources and the online and the traditional journalism routine are presented. An explanation about Second Life is given in the literature review, showing details of its rules and its policies. In addition to that, a deep description of the newsmaking process in the metaverse is shown, gathering the information received from the interviews with the journalists who have worked in the virtual environment as avatars. Analyzing and discussing G2's journalism practice, this paper attempts to explain which are the newsworthiness criteria used by its professionals, how the newsmaking process is led and what the information sources are in the virtual environment

Factors associated with overweight: are the conclusions influenced by choice of the regression method?

Submitted by Sandra Infurna ([email protected]) on 2016-12-13T11:19:33Z No. of bitstreams: 1 rosane_griep_etal_IOC_2016.pdf: 638520 bytes, checksum: d78da175901f86574b7d533290fc776f (MD5)Approved for entry into archive by Sandra Infurna ([email protected]) on 2016-12-13T11:29:34Z (GMT) No. of bitstreams: 1 rosane_griep_etal_IOC_2016.pdf: 638520 bytes, checksum: d78da175901f86574b7d533290fc776f (MD5)Made available in DSpace on 2016-12-13T11:29:34Z (GMT). No. of bitstreams: 1 rosane_griep_etal_IOC_2016.pdf: 638520 bytes, checksum: d78da175901f86574b7d533290fc776f (MD5) Previous issue date: 2016Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Rio de Janeiro, RJ. BrasilFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Rio de Janeiro, RJ. BrasilFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Rio de Janeiro, RJ. BrasilFundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ. Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ. Brasil.Background: Different analytical techniques have been used to study the determinants of overweight. However, certain commonly used techniques may be limited by the continuous nature and skewed distribution of body mass index (BMI) data. In this article, different regression models are compared to identify the best approach for analysing predictors of BMI. Methods: Data collected on 2270 nurses at 18 public hospitals in Rio de Janeiro, RJ (2010–2011) were analysed (80.6 % of the respondents). The explanatory variables considered were age, marital status, race/colour, mother’s schooling, domestic overload, years worked at night, Consumption of fried food, physical inactivity, self-rated health and BMI at age 20 years. In addition to gamma regression, regarded as the reference method for selecting the set of explanatory variables described here, other modelling strategies – including linear, quantile (for the 0.25, 0.50 and 0.75 quantiles), binary and multinomial logistic regression – were compared in terms of final results and measures of fit. Results: The variables age, marital status, race/colour, domestic overload, self-rated health, physical inactivity and BMI at age 20 years were significantly associated with BMI, independently of the method used. In the same way, consumption of fried food was significant in all the models, but a dose–response pattern was identified only in the gamma and normal models and the quantile model for the 0.75 quantile. Years worked at night was also associated with BMI in these three models only. The variable mother’s schooling returned significant results only for the category 12 or more years of schooling, except for overweight in the multinomial model and for the 0.50 quantile in the quantile model, in which the two categories were not significant. The results of the quantile regression showed that, generally, the effects of the variables investigated were greater in the upper quantiles of the BMI distribution. Of the models using BMI in its continuous form, the gamma model showed best fit, followed by the quantile models (0.25 and 0.5 quantiles). Conclusions: The different strategies used produced similar results for the factors associated with BMI, but differed in the magnitude of the associations and goodness of fit. We recommend using the different approaches in combination, because they furnish complementary information on the problem studied

Additional file 2: of Factors associated with overweight: are the conclusions influenced by choice of the regression method?

Analysis of standardized Pearson residuals from the linear model. Description of data: This additional file presents the analysis of standardized Pearson residuals from the linear model, demonstrating that the distribution of the residuals did not support the normality assumption. (PDF 87 kb

Additional file 1: of Factors associated with overweight: are the conclusions influenced by choice of the regression method?

Questionnaire. Description of data: The self-completed questionnaire, covering characteristics of professional and household work, health and socioeconomic. (PDF 255 kb