826 resultados para online social networks


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Pós-graduação em Comunicação - FAAC

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O presente trabalho apresenta estudos de casos de expressões audiovisuais reunidas por Jan Simons sob a denominação de narrativas complexas, propondo a sua utilização como referência para aplicação de interação na TV Digital. O corpus é constituído das seguintes produções submetidas a essa classificação: forking path narratives e puzzle films com The Butterfly Effect (Erci Bress e J. Mackye Gruber, 2004); mind-game films com Lola Rennt (Tom Tykwer, 1998); modular narratives com Nine Lives (GPS films, 2005), database narratives e modular narratives com Pulp Fiction (Quentin Tarantino, 1994); network narratives com Babel (Alejandro Gonzalez, 2006) e subjectives stories com Being John Malkovich (Spike Jonze, 1999). Compreendida como uma técnica de seleção e articulação de fragmentos de sentidos na composição do discurso audiovisual, aponta-se a montagem como um mecanismo propulsor de interação, manifestada pela transferência da sincronização dos módulos de sentidos que compõe a mensagem ou na construção de discursos audiovisuais com linearidade que se difere do nível dos acontecimentos. A pesquisa gerou um capítulo de livro, duas publicações em revistas científicas, além de integrar anais de diversos eventos acadêmicos

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The objective of this study was to find and discuss the possibilities of action of a public relations professional in social media, taking as an example, the most popular, Facebook and Twitter, to work the organizational communication with the public consumer. Social media are gaining more followers, who are seeking information on companies before consuming your products or hire your services, getting attention for any kind of promotion or crisis of this organization. We saw how public relations mediate communication between company and consumer, being responsible for the clear, objective and correct posting of your organization in social media

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The profession of public relations presents itself in Brazil currently as a profession in expansion. However, by it’s time of performance, it should already be instated and legitimatized by society like other areas that even though appeared later, are already known and understood. Therefore, this project intends to seek for answers about the current situation, analyzing since it’s appearance in Brazil until now a days. With this analysis of the whole historic trajectory it is possible to understand the many movements that occur today in the area of public relations that are constantly searching for a legitimating and valued profession. However in this context surfaces a paradox: How to value something that is not known? So this project starts up again a campaign of divulgation of public relations promoted by the ABRP (Brazilian Association of Public Relations), now on the internet using the social networks, seeking to have a wider audience, interaction and reach. By this campaign it is possible to show to different publics the existence and relevance of the profession in the Brazilian context in objective and practice way making it more comprehensible in Brazil

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Currently with the context of the Internet, especially on online social networks, it is observed that people and companies are establishing relationships both online and offline. The new digital culture and the competitiveness of the market are making companies change the way they communicate with their customers, providing a broader and more participative communication with their stakeholders. This resear chaims to understand the relation of corporate communication and Public Relations and from the conceptualization of the trials will detect the relationship processes of companies and their public in online social networks. Understand this type of relation ship is interesting because that, it is the field of the Public Relations professional. An area that grows in importance in today's market, since Facebook is being used as a channel of communication and relationship with consumers. The methodology used is exploratory research, in which, it aims to familiarize themselves with the subject and the possibility of analyzing three examples of relationships and engagement in the corporate communications field. In this case, the ranking of the top three companies, Coca-Cola, Guaraná Antarctica e Mc Donald's, in the Top Facebook Posts Brazil in January 2015. It is important that to have a Public Relations Professional that is able to create an open channel of communication on social networks with the purpose of detecting the characteristics of the target public and promote the participation of such public in the building of content and the innovative organization process. Therefore, it becomes an engaging and everlasting relationship

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This article analyzes how the Brazilian feminist movements utilize online social networks to expand their sphere of action and mobilization in society through understanding how is the activity of the collective Marcha das Vadias of Rio de Janeiro on your Facebook page and as this group is mobilized in the online environment to organize its annual march, here, specifically the 4th Marcha das Vadias of Rio de Janeiro. Through exploratory, descriptive and analytical qualitative research methodology and analysis of social networks on the Internet, it is concluded that the network generated by the topic "4th Marcha das Vadias of Rio de Janeiro" was central dynamic between a public clear feminist, but weak and little to comprehensive dialogue with society in general positions.

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Pós-graduação em Comunicação - FAAC

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The media and the Internet may be having an influence on suicidal behavior. Online social networks such as Facebook represent a new facet of global information transfer. The impact of these online social networks on suicidal behavior has not yet been evaluated.

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Internet has affected our lives and society in manifold ways, and partly, in fundamental ways. Therefore, it is no surprise that one of the affected areas is language and communication itself. Over the last few years, online social networks have become a widespread and continuously expanding medium of communication. Being a new medium of social interaction, online social networks produce their own communication style, which in many cases differs considerably from real speech and is also perceived differently. The focus of analysis of my PhD thesis is how social network users from the city of Malaga create this virtual style by means of phonic features typical of the Andalusian variety of Spanish and how the users’ language attitude has an influence on the use of these phonic features. The data collection was fourfold: 1) a main corpus was compiled from 240 informants’ utterances on Facebook and Tuenti; 2) a corpus constituted of broad transcriptions of recordings with 120 people from Malaga served as a comparison; 3) a survey in which 240 participants rated the use of said phonetic variants on the following axes: “good–bad”, “correct–incorrect” and “beautiful–ugly” was carried out; 4) a survey with 240 participants who estimated with which frequency the analysed features are used in Malaga was conducted. For the analysis, which is quantitative and qualitative, ten variables were chosen. Results show that the studied variants are employed differently in virtual and real speech depending on how people perceive these variants. In addition, the use of the features is constrained by social factors. In general, people from Malaga have a more positive attitude towards non-­‐standard features if they are used in virtual speech than in real speech. Thus, virtual communication is seen as a style serving to create social meaning and to express linguistic identity. These stylistic practices reflect an amalgam of social presuppositions about usage conventions and individual strategies for handling a new medium. In sum, the virtual style is an initiative deliberately taken by the users, to create their, real and virtual, identities, and to define their language attitudes towards the features of their variety of speech.

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Over the last few years Facebook has become a widespread and continuously expanding medium of communication in Africa and worldwide. Being a new medium of social interaction, Facebook produces its own communication style. It is a style conditioned by the medium and the community of users. My focus of analysis is how Facebook users from the city of Cape Town create this style by means of emoticons and other graphic signs in order to reflect the reality of living in Cape Town’s underprivileged areas. This study is based on a theoretical framework which combines sociolinguistics with Computer-Mediated-Communication to study the emergence of a style peculiar of the online social networks. In a corpus of Coloured Facebook users from the Cape Flats, I have analysed the emergence of emoticons and other graphic signs related to Capetonian gang culture and then tracked the spread of these features to the extensive use by users not related to gangs. It can be deduced that in this process the analysed features amplify their meaning and are employed in a much broader context as their original use. Due to the development and spread of these features we can consider the peculiar electronic communication of Facebook as a style constrained by the electronic medium and its users. It is a style which serves the users to create social meaning and to express their linguistic identities.

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Over the last few years Facebook has become a widespread and continuously expanding medium of communication. Being a new medium of social interaction, Facebook produces its own communication style. My focus of analysis is how Facebook users from the city of Malaga create this style by means of phonic features typical of the Andalusian variety and how the users reflect on the use of these phonic features. This project is based on a theoretical framework which combines variationist sociolinguistics with CMC to study the emergence of a style peculiar of the online social networks. In a corpus of Facebook users from three zones of Malaga, I have analysed the use of non-standard phonic features and then compared them with the same features in a reference corpus collected on three beaches of Malaga. From this comparison it can be deduced that the analysed social and linguistic factors work differently in real and virtual speech. Due to these different uses we can consider the peculiar electronic communication of Facebook as a style constrained by the electronic medium. It is a style which serves the users to create social meaning and to express their linguistic identities.

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In the last several years, micro-blogging Online Social Networks (OSNs), such as Twitter, have taken the world by storm, now boasting over 100 million subscribers. As an unparalleled stage for an enormous audience, they offer fast and reliable centralized diffusion of pithy tweets to great multitudes of information-hungry and always-connected followers. At the same time, this information gathering and dissemination paradigm prompts some important privacy concerns about relationships between tweeters, followers and interests of the latter. In this paper, we assess privacy in today?s Twitter-like OSNs and describe an architecture and a trial implementation of a privacy-preserving service called Hummingbird. It is essentially a variant of Twitter that protects tweet contents, hashtags and follower interests from the (potentially) prying eyes of the centralized server. We argue that, although inherently limited by Twitter?s mission of scalable information-sharing, this degree of privacy is valuable. We demonstrate, via a working prototype, that Hummingbird?s additional costs are tolerably low. We also sketch out some viable enhancements that might offer better privacy in the long term.

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Durante la actividad diaria, la sociedad actual interactúa constantemente por medio de dispositivos electrónicos y servicios de telecomunicaciones, tales como el teléfono, correo electrónico, transacciones bancarias o redes sociales de Internet. Sin saberlo, masivamente dejamos rastros de nuestra actividad en las bases de datos de empresas proveedoras de servicios. Estas nuevas fuentes de datos tienen las dimensiones necesarias para que se puedan observar patrones de comportamiento humano a grandes escalas. Como resultado, ha surgido una reciente explosión sin precedentes de estudios de sistemas sociales, dirigidos por el análisis de datos y procesos computacionales. En esta tesis desarrollamos métodos computacionales y matemáticos para analizar sistemas sociales por medio del estudio combinado de datos derivados de la actividad humana y la teoría de redes complejas. Nuestro objetivo es caracterizar y entender los sistemas emergentes de interacciones sociales en los nuevos espacios tecnológicos, tales como la red social Twitter y la telefonía móvil. Analizamos los sistemas por medio de la construcción de redes complejas y series temporales, estudiando su estructura, funcionamiento y evolución en el tiempo. También, investigamos la naturaleza de los patrones observados por medio de los mecanismos que rigen las interacciones entre individuos, así como medimos el impacto de eventos críticos en el comportamiento del sistema. Para ello, hemos propuesto modelos que explican las estructuras globales y la dinámica emergente con que fluye la información en el sistema. Para los estudios de la red social Twitter, hemos basado nuestros análisis en conversaciones puntuales, tales como protestas políticas, grandes acontecimientos o procesos electorales. A partir de los mensajes de las conversaciones, identificamos a los usuarios que participan y construimos redes de interacciones entre los mismos. Específicamente, construimos una red para representar quién recibe los mensajes de quién y otra red para representar quién propaga los mensajes de quién. En general, hemos encontrado que estas estructuras tienen propiedades complejas, tales como crecimiento explosivo y distribuciones de grado libres de escala. En base a la topología de estas redes, hemos indentificado tres tipos de usuarios que determinan el flujo de información según su actividad e influencia. Para medir la influencia de los usuarios en las conversaciones, hemos introducido una nueva medida llamada eficiencia de usuario. La eficiencia se define como el número de retransmisiones obtenidas por mensaje enviado, y mide los efectos que tienen los esfuerzos individuales sobre la reacción colectiva. Hemos observado que la distribución de esta propiedad es ubicua en varias conversaciones de Twitter, sin importar sus dimensiones ni contextos. Con lo cual, sugerimos que existe universalidad en la relación entre esfuerzos individuales y reacciones colectivas en Twitter. Para explicar los factores que determinan la emergencia de la distribución de eficiencia, hemos desarrollado un modelo computacional que simula la propagación de mensajes en la red social de Twitter, basado en el mecanismo de cascadas independientes. Este modelo nos permite medir el efecto que tienen sobre la distribución de eficiencia, tanto la topología de la red social subyacente, como la forma en que los usuarios envían mensajes. Los resultados indican que la emergencia de un grupo selecto de usuarios altamente eficientes depende de la heterogeneidad de la red subyacente y no del comportamiento individual. Por otro lado, hemos desarrollado técnicas para inferir el grado de polarización política en redes sociales. Proponemos una metodología para estimar opiniones en redes sociales y medir el grado de polarización en las opiniones obtenidas. Hemos diseñado un modelo donde estudiamos el efecto que tiene la opinión de un pequeño grupo de usuarios influyentes, llamado élite, sobre las opiniones de la mayoría de usuarios. El modelo da como resultado una distribución de opiniones sobre la cual medimos el grado de polarización. Aplicamos nuestra metodología para medir la polarización en redes de difusión de mensajes, durante una conversación en Twitter de una sociedad políticamente polarizada. Los resultados obtenidos presentan una alta correspondencia con los datos offline. Con este estudio, hemos demostrado que la metodología propuesta es capaz de determinar diferentes grados de polarización dependiendo de la estructura de la red. Finalmente, hemos estudiado el comportamiento humano a partir de datos de telefonía móvil. Por una parte, hemos caracterizado el impacto que tienen desastres naturales, como innundaciones, sobre el comportamiento colectivo. Encontramos que los patrones de comunicación se alteran de forma abrupta en las áreas afectadas por la catástofre. Con lo cual, demostramos que se podría medir el impacto en la región casi en tiempo real y sin necesidad de desplegar esfuerzos en el terreno. Por otra parte, hemos estudiado los patrones de actividad y movilidad humana para caracterizar las interacciones entre regiones de un país en desarrollo. Encontramos que las redes de llamadas y trayectorias humanas tienen estructuras de comunidades asociadas a regiones y centros urbanos. En resumen, hemos mostrado que es posible entender procesos sociales complejos por medio del análisis de datos de actividad humana y la teoría de redes complejas. A lo largo de la tesis, hemos comprobado que fenómenos sociales como la influencia, polarización política o reacción a eventos críticos quedan reflejados en los patrones estructurales y dinámicos que presentan la redes construidas a partir de datos de conversaciones en redes sociales de Internet o telefonía móvil. ABSTRACT During daily routines, we are constantly interacting with electronic devices and telecommunication services. Unconsciously, we are massively leaving traces of our activity in the service providers’ databases. These new data sources have the dimensions required to enable the observation of human behavioral patterns at large scales. As a result, there has been an unprecedented explosion of data-driven social research. In this thesis, we develop computational and mathematical methods to analyze social systems by means of the combined study of human activity data and the theory of complex networks. Our goal is to characterize and understand the emergent systems from human interactions on the new technological spaces, such as the online social network Twitter and mobile phones. We analyze systems by means of the construction of complex networks and temporal series, studying their structure, functioning and temporal evolution. We also investigate on the nature of the observed patterns, by means of the mechanisms that rule the interactions among individuals, as well as on the impact of critical events on the system’s behavior. For this purpose, we have proposed models that explain the global structures and the emergent dynamics of information flow in the system. In the studies of the online social network Twitter, we have based our analysis on specific conversations, such as political protests, important announcements and electoral processes. From the messages related to the conversations, we identify the participant users and build networks of interactions with them. We specifically build one network to represent whoreceives- whose-messages and another to represent who-propagates-whose-messages. In general, we have found that these structures have complex properties, such as explosive growth and scale-free degree distributions. Based on the topological properties of these networks, we have identified three types of user behavior that determine the information flow dynamics due to their influence. In order to measure the users’ influence on the conversations, we have introduced a new measure called user efficiency. It is defined as the number of retransmissions obtained by message posted, and it measures the effects of the individual activity on the collective reacixtions. We have observed that the probability distribution of this property is ubiquitous across several Twitter conversation, regardlessly of their dimension or social context. Therefore, we suggest that there is a universal behavior in the relationship between individual efforts and collective reactions on Twitter. In order to explain the different factors that determine the user efficiency distribution, we have developed a computational model to simulate the diffusion of messages on Twitter, based on the mechanism of independent cascades. This model, allows us to measure the impact on the emergent efficiency distribution of the underlying network topology, as well as the way that users post messages. The results indicate that the emergence of an exclusive group of highly efficient users depends upon the heterogeneity of the underlying network instead of the individual behavior. Moreover, we have also developed techniques to infer the degree of polarization in social networks. We propose a methodology to estimate opinions in social networks and to measure the degree of polarization in the obtained opinions. We have designed a model to study the effects of the opinions of a small group of influential users, called elite, on the opinions of the majority of users. The model results in an opinions distribution to which we measure the degree of polarization. We apply our methodology to measure the polarization on graphs from the messages diffusion process, during a conversation on Twitter from a polarized society. The results are in very good agreement with offline and contextual data. With this study, we have shown that our methodology is capable of detecting several degrees of polarization depending on the structure of the networks. Finally, we have also inferred the human behavior from mobile phones’ data. On the one hand, we have characterized the impact of natural disasters, like flooding, on the collective behavior. We found that the communication patterns are abruptly altered in the areas affected by the catastrophe. Therefore, we demonstrate that we could measure the impact of the disaster on the region, almost in real-time and without needing to deploy further efforts. On the other hand, we have studied human activity and mobility patterns in order to characterize regional interactions on a developing country. We found that the calls and trajectories networks present community structure associated to regional and urban areas. In summary, we have shown that it is possible to understand complex social processes by means of analyzing human activity data and the theory of complex networks. Along the thesis, we have demonstrated that social phenomena, like influence, polarization and reaction to critical events, are reflected in the structural and dynamical patterns of the networks constructed from data regarding conversations on online social networks and mobile phones.

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Este artículo analiza la relación entre la eficiencia productiva y las Redes Sociales Virtuales (RSV) en las empresas de telecomunicaciones en España. En una primera etapa, se aplica el análisis envolvente de datos (DEA) incorporando varios indicadores de actividad ?Social Media?. En una segunda etapa, se utiliza una regresión logística para caracterizar las empresas eficientes. Los resultados muestran que la capacidad de absorción y utilización de las RSV es un factor determinante en la mejora de la eficiencia productiva. La utilización combinada y las distintas capacidades de gestión de las RSV permiten identificarlas como un recurso heterogéneo. Este trabajo presenta un modelo para la evaluación del desempeño estratégico al abordar su presencia y actividad en RSV. ABSTRACT. This paper analyzes the relationship between the productive efficiency and the Online Social Networks - OSN in the Spanish telecommunications firms. First, a data envelopment analysis (DEA) is used and several indicators of business "Social Media" activities are incorporated. In a second stage, a logistic regression model regression is applied to characteri ze the efficient enterprises. Results show that the company's ability to absorb and utilize this OSN is a key factor in improving the productive efficiency. These results on the combined use and different management capabilities of OSN point to a definitio n of OSN as a heterogeneous resource. This paper presents a model for assessing the strategic performance to address their presence and activity in OSN.

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Purpose – The use of online social networks has experienced a vertiginous increase in the last few years, and young people appear as the key players in this trend. Immersed, educated and raised in the middle of technology, the new student generation is one of digital natives. Instead, lecturers are digital immigrants, but the authors have the responsibility to turn a technology which can be a distraction into a teaching tool. Facebook is an example of Web 2.0 technology that owns a huge potential in the field of education. The purpose of this paper is to show the teaching experience with the Facebook social network in human resource management degree subjects, for the purpose of highlighting its strengths and weaknesses. Design/methodology/approach – A survey was carried out among university students in order to reach the goal. A total of 191 students were asked to give their opinion about the use of Facebook in teaching, achieving 125 valid answers. Findings – Facebook can positively impact on the performance of students, who are satisfied with the experience and think that the information obtained in Facebook can improve their training. More negative attitudes towards Facebook appeared among those students who had not used it. Originality/value – The paper summarises the strengths and weaknesses of Facebook through a literature review and assesses them via a survey.