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An enhanced content selection mechanism for personalization of video news programmes

MANZATO, Marcelo G.; COIMBRA, Danilo B.; GOULARTE, Rudinei
Fonte: SPRINGER Publicador: SPRINGER
Tipo: Artigo de Revista Científica
ENG
Relevância na Pesquisa
56.01%
In this paper, we propose a content selection framework that improves the users` experience when they are enriching or authoring pieces of news. This framework combines a variety of techniques to retrieve semantically related videos, based on a set of criteria which are specified automatically depending on the media`s constraints. The combination of different content selection mechanisms can improve the quality of the retrieved scenes, because each technique`s limitations are minimized by other techniques` strengths. We present an evaluation based on a number of experiments, which show that the retrieved results are better when all criteria are used at time.

Mensuração da biomassa e construção de modelos para construção de equações de biomassa; Biomass measurement and models selection for biomass equations

Vismara, Edgar de Souza
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 07/05/2009 PT
Relevância na Pesquisa
35.97%
O interesse pela quantificação da biomassa florestal vem crescendo muito nos últimos anos, sendo este crescimento relacionado diretamente ao potencial que as florestas tem em acumular carbono atmosférico na sua biomassa. A biomassa florestal pode ser acessada diretamente, por meio de inventário, ou através de modelos empíricos de predição. A construção de modelos de predição de biomassa envolve a mensuração das variáveis e o ajuste e seleção de modelos estatísticos. A partir de uma amostra destrutiva de de 200 indivíduos de dez essências florestais distintas advindos da região de Linhares, ES., foram construídos modelos de predição empíricos de biomassa aérea visando futuro uso em projetos de reflorestamento. O processo de construção dos modelos consistiu de uma análise das técnicas de obtenção dos dados e de ajuste dos modelos, bem como de uma análise dos processos de seleção destes a partir do critério de Informação de Akaike (AIC). No processo de obtenção dos dados foram testadas a técnica volumétrica e a técnica gravimétrica, a partir da coleta de cinco discos de madeira por árvore, em posições distintas no lenho. Na técnica gravimétrica, estudou-se diferentes técnicas de composição do teor de umidade dos discos para determinação da biomassa...

Sumarização automática multidocumento: seleção de conteúdo com base no Modelo CST (Cross-document Structure Theory); Multidocument sumarization: content selection based on CST (Cross-document Structure Theory)

Jorge, Maria Lucía Del Rosario Castro
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 08/04/2010 PT
Relevância na Pesquisa
56.05%
A sumarização automática multidocumento consiste em produzir um sumário ou resumo (como mais comumente é conhecido) a partir de um grupo de textos que versam sobre um mesmo assunto, contendo as informações mais relevantes de acordo com o interesse do usuário. No cenário atual, com a quantidade imensa de informação em constante crescimento e atualização, e o tempo cada vez mais reduzido disponível para apreender o conteúdo de interesse, sumários multidocumento têm se tornado um recurso importante. Nesta dissertação, foram explorados métodos de seleção de conteúdo para sumarização multidocumento com base no modelo de relacionamento multidocumento CST (Cross-document Structure Theory), proposto recentemente e já difundido na área de Processamento de Línguas Naturais. Em particular, neste trabalho, foram definidos e formalizados operadores de seleção de conteúdo para sumarização multidocumento com base no modelo CST. Estes operadores representam possíveis preferências de sumarização e focam-se no tratamento dos principais desafios presentes no processamento de múltiplos documentos: redundância, complementaridade e informações contraditórias. Estes operadores são especificados em templates contendo regras e funções que relacionam essas preferências às relações CST. Especificamente...

Seleção de características por meio de algoritmos genéticos para aprimoramento de rankings e de modelos de classificação; Feature selection by genetic algorithms to improve ranking and classification models

Silva, Sérgio Francisco da
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Tese de Doutorado Formato: application/pdf
Publicado em 25/04/2011 PT
Relevância na Pesquisa
36.02%
Sistemas de recuperação de imagens por conteúdo (Content-based image retrieval { CBIR) e de classificação dependem fortemente de vetores de características que são extraídos das imagens considerando critérios visuais específicos. É comum que o tamanho dos vetores de características seja da ordem de centenas de elementos. Conforme se aumenta o tamanho (dimensionalidade) do vetor de características, também se aumentam os graus de irrelevâncias e redundâncias, levando ao problema da "maldição da dimensionalidade". Desse modo, a seleção das características relevantes é um passo primordial para o bom funcionamento de sistemas CBIR e de classificação. Nesta tese são apresentados novos métodos de seleção de características baseados em algoritmos genéticos (do inglês genetic algorithms - GA), visando o aprimoramento de consultas por similaridade e modelos de classificação. A família Fc ("Fitness coach") de funções de avaliação proposta vale-se de funções de avaliação de ranking, para desenvolver uma nova abordagem de seleção de características baseada em GA que visa aprimorar a acurácia de sistemas CBIR. A habilidade de busca de GA considerando os critérios de avaliação propostos (família Fc) trouxe uma melhora de precisão de consultas por similaridade de até 22% quando comparado com métodos wrapper tradicionais para seleção de características baseados em decision-trees (C4.5)...

Seleção de leveduras para a fermentação com alto teor alcoólico a partir da biodiversidade encontrada em destilarias brasileiras; Yeast selection from the biodiversity of Brazilian distilleries for high ethanol content fermentation

Furlan, Renata Maria Christofoleti
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 04/07/2012 PT
Relevância na Pesquisa
36.09%
O Brasil é o segundo maior produtor e um dos maiores exportadores de etanol no mundo e tal biocombustível tem grande impacto na economia do país. A expectativa é de grande demanda por tal produto, quer pelo crescente consumo interno, como também em decorrência do fim do protecionismo nos Estados Unidos. Portanto, o Brasil deverá produzir mais etanol e a um custo mais reduzido para manter a competitividade frente aos combustíveis fósseis. Dentre as inovações tecnológicas estaria a fermentação com alto teor alcoólico. Contudo, um dos fatores limitantes para a implantação desta tecnologia é a ausência de leveduras apropriadas para tolerar as condições severas impostas por este tipo de fermentação, onde múltiplos estresses são impostos simultaneamente às leveduras. Assim, este trabalho se propôs a selecionar, da biodiversidade de leveduras encontradas nas destilarias brasileiras, linhagens de Saccharomyces cerevisiae com capacidade de conduzir fermentações com alto teor alcoólico e em condições de reciclo celular. A estratégia de seleção consistiu na busca de linhagens com tolerâncias múltiplas, frentes aos estresses etanólico, osmótico, ácido e térmico. Para tal, um total de 525 linhagens, obtidas de diferentes destilarias...

Grain yield and seed quality of soybean selected for high protein content

Mello Filho,Odilon Lemos de; Sediyama,Carlos Sigueyuki; Moreira,Maurílio Alves; Reis,Múcio Silva; Massoni,Guilherme Augusto; Piovesan,Newton Denis
Fonte: Embrapa Informação Tecnológica; Pesquisa Agropecuária Brasileira Publicador: Embrapa Informação Tecnológica; Pesquisa Agropecuária Brasileira
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/05/2004 EN
Relevância na Pesquisa
45.97%
The objective of this work was to evaluate the effects of selection for high protein on seed physiological quality and grain yield of soybean. Four populations of BC1F4 and four of F4, each from a cross between a commercial variety and a line bearing high protein seeds, were used. The high protein content selection has a tendency to affect negatively the seed physiological quality. Estimates of correlation coefficients between protein content and grain yield were mostly negative but varied among populations. It is possible to obtain lines with high protein content, keeping the grain yield and the seed physiological quality of their respective recurrent progenitors.

Genetic control of potassium content of common bean seeds

Poersch,Nerison Luís; Ribeiro,Nerinéia Dalfollo; Rosa,Daniele Piano; Possobom,Micheli Thaise Della Flora
Fonte: Embrapa Informação Tecnológica; Pesquisa Agropecuária Brasileira Publicador: Embrapa Informação Tecnológica; Pesquisa Agropecuária Brasileira
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/06/2011 EN
Relevância na Pesquisa
36.1%
The objective of this work was to investigate possible maternal effects on potassium content of common bean seeds, as well as to estimate the heritability and selection gains in early hybrid generations for this character and to evaluate the efficiency of genetic selection to improve the nutritional quality of common bean (Phaseolus vulgaris). Crosses with four cultivars from the Mesoamerican gene pool yielded the reciprocal F1 and F2 generations and the backcrossed populations (BCP1 and BCP2). The potassium content of the progenies was measured via nitric‑perchloric digestion and flame photometry. The potassium content in the tested progenies varied from 6.0 to 14.9 g kg-1 dry matter, and no significant maternal effect was observed. The narrow-sense heritability ranged from low (33.26%) to intermediate (43.05%). Partial dominance was observed for low potassium content in the seeds. No increase in potassium content was obtained through selection. Breeding common bean plants for increasing potassium content in seeds may be difficult because the local environment strongly influences the character.

Nine cycles of mass selection for increasing oil content in two maize (Zea mays L.) synthetics

Rosulj,Milorad; Trifunovic,S.; Husic,I.
Fonte: Sociedade Brasileira de Genética Publicador: Sociedade Brasileira de Genética
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/01/2002 EN
Relevância na Pesquisa
36.18%
The objectives of this study were to estimate changes in oil content, grain yield, percentage of broken plants and changes in yield components in the maize populations DS7u and YuSSSu. As estimations were performed at C0 and C9 for both populations, it was possible to observe changes occurring following long-term mass selection for high oil content. The synthetic population DS7u population was developed by recombination of 29 inbred lines of Yugoslav, Canadian and US origin. The synthetic population YuSSSu population is an Iowa Stiff Stalk Synthetic - BSS(R)C5. Progenies were derived according to the North Carolina Design II. Results indicated that nine cycles of selection led to statistically significant increase in oil content and statistically significant decrease for grain yield in both populations. Estimates of additive and dominance variances for grain oil content were highly significant in C0 and C9 of the population DS7u population. Dominance variance showed significance in the initial cycle of the population YuSSSu population, but it was not detected in the course of nine cycles of mass selection. Additive and dominance variances for grain yield were highly significant in both initial populations. Loss of significance did not result from selection...

Partitioning genetic effects due to embryo, cytoplasm and maternal parent for oil content in oilseed rape (Brassica napus L.)

Wu,Jian-Guo; Shi,Chun-Hai; Zhang,Hai-Zhen
Fonte: Sociedade Brasileira de Genética Publicador: Sociedade Brasileira de Genética
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/01/2006 EN
Relevância na Pesquisa
36.13%
Analysis of genetic main effects and genotype x environment (GE) interaction effects on the oil content of oilseed rape (Brassica napus L.) was conducted by using a genetic model for the quantitative traits of seeds in diploid plants. The experiments were carried out over two years with 8 parents and a diallel mating design, which produced F1 and F2 generations. We found that the oil content of rape was simultaneously controlled by embryo genetic effect, cytoplasmic effects and maternal genetic effect as well as GE interaction effects, with the cytoplasmic and maternal effects playing the main role. The results indicate that selection of maternal plants for high oil content would be more efficient than selection based on single seeds. Since the GE interaction effects accounted for 73.69% of the total genetic effects and were more important than the genetic main effects it seems that selection might be influenced by environmental conditions. The estimate of narrow-sense heritability for oil content was 73.52% with the interaction heritability being larger than the general heritability, indicating that the early generations can be used for selection for high oil content. The prediction of genetic effects suggested that the parent cultivars Youcai 601 and Gaoyou 605 were better than the other cultivars for increasing oil content during the breeding of B. napus. The implications for the quantitative trait loci mapping of seed traits interfered by these three genetic systems is also discussed.

Genetic control of potassium content of common bean seeds.

POERSCH, N. L.; RIBEIRO, N. D.; ROSA, D. P.; POSSOBOM, M. T. D. F.
Fonte: Pesquisa Agropecuária Brasileira. Brasília, v.46, n.6, p. 626-632, jun. 2011 Publicador: Pesquisa Agropecuária Brasileira. Brasília, v.46, n.6, p. 626-632, jun. 2011
Tipo: Artigo em periódico indexado (ALICE)
EN
Relevância na Pesquisa
36.1%
The objective of this work was to investigate possible maternal effects on potassium content of common bean seeds, as well as to estimate the heritability and selection gains in early hybrid generations for this character and to evaluate the efficiency of genetic selection to improve the nutritional quality of common bean (Phaseolus vulgaris). Crosses with four cultivars from the Mesoamerican gene pool yielded the reciprocal F1 and F2 generations and the backcrossed populations (BCP1 and BCP2). The potassium content of the progenies was measured via nitric-perchloric digestion and . The potassium content in the tested progenies varied from 6.0 to 14.9 g kg-1 dry matter, and no significant maternal effect was observed. The narrow-sense heritability ranged from low (33.26%) to intermediate (43.05%). Partial dominance was observed for low potassium content in the seeds. No increase in potassium content was obtained through selection. Breeding common bean plants for increasing potassium content in seeds may be difficult because the local environment strongly influences the character.; 2011

Grain yield and seed quality of soybean selected for high protein content.

MELLO FILHO, O.L. de; SEDIYAMA, C.S.; MOREIRA, M.A.; REIS, M.S.; MASSONI, G.A.; PIOVESAN, N.D.
Fonte: Pesquisa Agropecuária Brasileira, Brasília, DF, v. 39, n. 5, p. 445-450, maio 2004. Publicador: Pesquisa Agropecuária Brasileira, Brasília, DF, v. 39, n. 5, p. 445-450, maio 2004.
Tipo: Artigo em periódico indexado (ALICE)
EN
Relevância na Pesquisa
45.97%
The objective of this work was to evaluate the effects of selection for high protein on seed physiological quality and grain yield of soybean. Four populations of BC1F4 and four of F4, each from a cross between a commercial variety and a line bearing high protein seeds, were used. The high protein content selection has a tendency to affect negatively the seed physiological quality. Estimates of correlation coefficients between protein content and grain yield were mostly negative but varied among populations. It is possible to obtain lines with high protein content, keeping the grain yield and the seed physiological quality of their respective recurrent progenitors.; 2004

Application of supervised feature selection methods to define the most important traits affecting maximum kernel water content in maize

Shekoofa, A.; Emam, Y.; Ebrahimi, M.; Ebrahimie, E.
Fonte: Southern Cross Journals Publicador: Southern Cross Journals
Tipo: Artigo de Revista Científica
Publicado em //2011 EN
Relevância na Pesquisa
36.15%
This study presents the results of applying supervised feature selection algorithms in the selection of the most important traits contributing to the maximum kernel water content (MKWC) as a major yield component. Data were obtained from a field experiment conducted during 2008 growing season, at the Experimental Farm of the College of Agriculture, Shiraz University, and from the literature. Experiments on the subject of sink/source relationships in maize were collected from twelve fields (as records) of different parts of the world, differing in 23 characteristics (features). The feature selection algorithm demonstrated that 15 features including: planting date (days), countries (Iran, Argentina, India, USA, Canada), hybrid types, Phosphorous fertilizer applied (kg ha-1), final kernel weight (mg), soil type, season duration (days), days to silking, leaf dry weight (g plant-1), mean kernel weight (mg), cob dry weight (g plant-1), kernel number per ear, grain yield (g m-2), nitrogen applied (kg ha-1), and duration of the grain filling period (0C day) were the most effective traits in determining maximum kernel water content. Among the effective traits (features), planting date (days) revealed to be the critical one. Hybrids and countries were the second most important affecting factors on the maize kernel water content. For the first time...

Temporal segmentation and keyframe selection methods for user-generated video search-based annotation

González-Díaz, Iván; Martínez-Cortes, Tomás; Gallardo-Antolín, Ascensión; Díaz-de-María, Fernando
Fonte: Elsevier Publicador: Elsevier
Tipo: info:eu-repo/semantics/submittedVersion; info:eu-repo/semantics/article
Publicado em /01/2015 ENG
Relevância na Pesquisa
36.06%
In this paper we propose a temporal segmentation and a keyframe selection method for User-Generated Video (UGV). Since UGV is rarely structured in shots and usually user's interest are revealed through camera movements, a UGV temporal segmentation system has been proposed that generates a video partition based on a camera motion classification. Motion-related mid-level features have been suggested to feed a Hierarchical Hidden Markov Model (HHMM) that produces a user-meaningful UGV temporal segmentation. Moreover, a keyframe selection method has been proposed that picks a keyframe for fixed-content camera motion patterns such as zoom, still, or shake and a set of keyframes for varying-content translation patterns. The proposed video segmentation approach has been compared to a state-of-the-art algorithm, achieving 8% performance improvement in a segmentation-based evaluation. Furthermore, a complete search-based UGV annotation system has been developed to assess the influence of the proposed algorithms on an end-user task. To that purpose, two UGV datasets have been developed and made available online. Specifically, the relevance of the considered camera motion types has been analyzed for these two datasets, and some guidelines are given to achieve the desired performance-complexity tradeoff. The keyframe selection algorithm for varying-content translation patterns has also been assessed...

Uma arquitetura de personalização de conteúdo baseada em anotações do usuário; An architecture for content personalization based on peer-level annotations

Manzato, Marcelo Garcia
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Tese de Doutorado Formato: application/pdf
Publicado em 14/02/2011 PT
Relevância na Pesquisa
45.79%
A extração de metadados semânticos de vídeos digitais para uso em serviços de personalização é importante, já que o conteúdo é adaptado segundo as preferências de cada usuário. Entretanto, apesar de serem encontradas várias propostas na literatura, as técnicas de indexação automática são capazes de gerar informações semânticas apenas quando o domínio do conteúdo é restrito. Alternativamente, existem técnicas para a criação manual dessas informações por profissionais, contudo, são dispendiosas e suscetíveis a erros. Uma possível solução seria explorar anotações colaborativas dos usuários, mas tal estratégia provoca a perda de individualidade dos dados, impedindo a extração de preferências do indivíduo a partir da interação. Este trabalho tem como objetivo propor uma arquitetura de personalização que permite a indexação multimídia de modo irrestrito e barato, utilizando anotações colaborativas, mas mantendo-se a individualidade dos dados para complementar o perfil de interesses do usuário com conceitos relevantes. A multimodalidade de metadados e de preferências também é explorada na presente tese, fornecendo maior robustez na extração dessas informações, e obtendo-se uma maior carga semântica que traz benefícios às aplicações. Como prova de conceito...

Analyzing peer selection policies for bittorrent multimedia on-demand streaming systems in internet

Rodrigues, Carlo Kleber da Silva
Fonte: Centro Universitário de Brasília Publicador: Centro Universitário de Brasília
Tipo: Artigo de Revista Científica
EN_US
Relevância na Pesquisa
35.98%
The adaptation of the BitTorrent protocol to multimedia on-demand streaming systems essentially lies on the modification of its two core algorithms, namely the piece and the peer selection policies, respectively. Much more attention has though been given to the piece selection policy. Within this context, this article proposes three novel peer selection policies for the design of BitTorrent-like protocols targeted at that type of systems: Select Balanced Neighbour Policy (SBNP), Select Regular Neighbour Policy (SRNP), and Select Optimistic Neighbour Policy (SONP). These proposals are validated through a competitive analysis based on simulations which encompass a variety of multimedia scenarios, defined in function of important characterization parameters such as content type, content size, and client´s interactivity profile. Service time, number of clients served and efficiency retrieving coefficient are the performance metrics assessed in the analysis. The final results mainly show that the novel proposals constitute scalable solutions that may be considered for real project designs. Lastly, future work is included in the conclusion of this paper.

Learning Content Selection Rules for Generating Object Descriptions in Dialogue

Jordan, P. W.; Walker, M. A.
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 09/09/2011
Relevância na Pesquisa
46.13%
A fundamental requirement of any task-oriented dialogue system is the ability to generate object descriptions that refer to objects in the task domain. The subproblem of content selection for object descriptions in task-oriented dialogue has been the focus of much previous work and a large number of models have been proposed. In this paper, we use the annotated COCONUT corpus of task-oriented design dialogues to develop feature sets based on Dale and Reiters (1995) incremental model, Brennan and Clarks (1996) conceptual pact model, and Jordans (2000b) intentional influences model, and use these feature sets in a machine learning experiment to automatically learn a model of content selection for object descriptions. Since Dale and Reiters model requires a representation of discourse structure, the corpus annotations are used to derive a representation based on Grosz and Sidners (1986) theory of the intentional structure of discourse, as well as two very simple representations of discourse structure based purely on recency. We then apply the rule-induction program RIPPER to train and test the content selection component of an object description generator on a set of 393 object descriptions from the corpus. To our knowledge, this is the first reported experiment of a trainable content selection component for object description generation in dialogue. Three separate content selection models that are based on the three theoretical models...

Knowledge Acquisition for Content Selection

Reiter, Ehud; Cawsey, Alison; Osman, Liesl; Roff, Yvonne
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 24/02/1997
Relevância na Pesquisa
46.01%
An important part of building a natural-language generation (NLG) system is knowledge acquisition, that is deciding on the specific schemas, plans, grammar rules, and so forth that should be used in the NLG system. We discuss some experiments we have performed with KA for content-selection rules, in the context of building an NLG system which generates health-related material. These experiments suggest that it is useful to supplement corpus analysis with KA techniques developed for building expert systems, such as structured group discussions and think-aloud protocols. They also raise the point that KA issues may influence architectural design issues, in particular the decision on whether a planning approach is used for content selection. We suspect that in some cases, KA may be easier if other constructive expert-system techniques (such as production rules, or case-based reasoning) are used to determine the content of a generated text.; Comment: To appear in the 1997 European NLG workshop. 10 pages, postscript

An Ensemble method for Content Selection for Data-to-text Systems

Gkatzia, Dimitra; Hastie, Helen
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 09/06/2015
Relevância na Pesquisa
45.85%
We present a novel approach for automatic report generation from time-series data, in the context of student feedback generation. Our proposed methodology treats content selection as a multi-label classification (MLC) problem, which takes as input time-series data (students' learning data) and outputs a summary of these data (feedback). Unlike previous work, this method considers all data simultaneously using ensembles of classifiers, and therefore, it achieves higher accuracy and F- score compared to meaningful baselines.; Comment: 3 pages, 2 figures, 1st International Workshop on Data-to-text Generation

Brazilian Model of Library and Information Studies in the Bachelor's level

Zins, Chaim; Santos, Plácida L. V. Amorim da Costa
Fonte: UFPB Publicador: UFPB
Tipo: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion; Formato: application/pdf
Publicado em 28/12/2015 ENG
Relevância na Pesquisa
45.94%
The article is aimed to improve the academic education in the field of library and information science in Brazil by structuring the curricular reasoning that shapes the contents of undergraduate academic programs. It is the second article of a group of two articles that resulted from a study conducted in Brazil in 2011– 2014. The first article presents a universal model1 of LIS programs (ZINS; SANTOS, 2015, in press). This article presents the Brazilian model2. This part of the research was composed of two methodological phases. The first phase was a systematic Critical Delphi study with 21 leading information science scholars from Brazil. The second phase was an unsystematic formative evaluation of the content categories. The evaluation was based on a Grounded theory study of 13 academic programs in Brazil. The study resulted in a model2 that sets the guiding principles for developing undergraduate programs in Brazil. The model is actually composed of two complementary models; a systematic four step developing process (model2.1) and a structured plan of 288 content categories (model2.2). The study improves the development and evaluation of LIS programs in Brazil by providing a structured model for content selection. The study stresses the key role of the curricular reasoning for improving LIS education in Brazil; a curricular reasoning that is grounded in the Brazilian milieu.

«My Friends are my Audience»: Mass-mediation of Personal Content and Relations in Facebook

Pedroni,Marco; Pasquali,Francesca; Carlo,Simone
Fonte: OberCom Publicador: OberCom
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/09/2014 EN
Relevância na Pesquisa
45.87%
Facebook identity management implies a selective front and backstage: users perform multiple social roles for a multiple spectator audience (boyd 2008). But as friend lists increase and the discussion about sensitive topics becomes more critical, people tend to protect their image by dealing only with content that may be interesting to all their contacts (Hogan, 2010). Starting from field research on Italian users (40 in-depth interviews with Facebook users aged 14-55), this paper discusses the idea of Facebook as a place where people are engaged in building their social relations and their self-representation by managing their online presence in a way that can be both intriguing and acceptable for most of their contacts. The paper will highlight the strategies of content homogenization and the online behavior adopted by users according to their perceptions of their «imagined audience» (Litt, 2012). The article aims at underlining that Facebook use is surprisingly consistent with mass-media and generalist-media cultural models: users seem to apply models of television spectatoriality, not only in terms of passivity (lurking), but also in terms of consumption (skipping uninteresting content) and content production performed for a generalist audience (developing a distinctive and acceptable style of interaction).