Twitter: microblog e rede social

Trata-se de uma pesquisa exploratória sobre o Twitter, um tipo rede social na Internet em formato de microblog. A questão central foi compreender a popularização do serviço, sobretudo no Brasil, e como este pode ser utilizado como ferramenta de comunicação pessoal ou, mesmo, corporativa. Este estudo preliminar foi desenvolvido por meio de pesquisa documental sobre redes sociais na Internet e pesquisa exploratória, com base em artigos publicados sobre o Twitter. A principal constatação é que a utilização das redes sociais como o Twitter para difusão de informações, sejam pessoais, sejam corporativas, utilizando-se de perfis reais e institucionais em sua divulgação, gera maior credibilidade das ações desenvolvidas, bem como estas são mais rápidas e podem ser acessadas via browser ou aplicativos que rodam em outros gadgets, como celulares ou smartphones.

Campanha eleitoral e twitter: a utilização do microblog durante o 2º turno da eleição presidencial de 2010

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Analysis and identification of spamming behaviors in Sina Weibo microblog

Spamming has been a widespread problem for social networks. In recent years there is an increasing interest in the analysis of anti-spamming for microblogs, such as Twitter. In this paper we present a systematic research on the analysis of spamming in Sina Weibo platform, which is currently a dominant microblogging service provider in China. Our research objectives are to understand the specific spamming behaviors in Sina Weibo and find approaches to identify and block spammers in Sina Weibo based on spamming behavior classifiers. To start with the analysis of spamming behaviors we devise several effective methods to collect a large set of spammer samples, including uses of proactive honeypots and crawlers, keywords based searching and buying spammer samples directly from online merchants. We processed the database associated with these spammer samples and interestingly we found three representative spamming behaviors: Aggressive advertising, repeated duplicate reposting and aggressive following. We extract various features and compare the behaviors of spammers and legitimate users with regard to these features. It is found that spamming behaviors and normal behaviors have distinct characteristics. Based on these findings we design an automatic online spammer identification system. Through tests with real data it is demonstrated that the system can effectively detect the spamming behaviors and identify spammers in Sina Weibo.

Predicting Academic Performance Based on Students' Blog and Microblog Posts

This study investigates the degree to which textual complexity indices applied on students’ online contributions, corroborated with a longitudinal analysis performed on their weekly posts, predict academic performance. The source of student writing consists of blog and microblog posts, created in the context of a project-based learning scenario run on our eMUSE platform. Data is collected from six student cohorts, from six consecutive installments of the Web Applications Design course, comprising of 343 students. A significant model was obtained by relying on the textual complexity and longitudinal analysis indices, applied on the English contributions of 148 students that were actively involved in the undertaken projects.

Predicting Student Performance and Differences in Learning Styles based on Textual Complexity Indices applied on Blog and Microblog Posts

Social media tools are increasingly popular in Computer Supported Collaborative Learning and the analysis of students' contributions on these tools is an emerging research direction. Previous studies have mainly focused on examining quantitative behavior indicators on social media tools. In contrast, the approach proposed in this paper relies on the actual content analysis of each student's contributions in a learning environment. More specifically, in this study, textual complexity analysis is applied to investigate how student's writing style on social media tools can be used to predict their academic performance and their learning style. Multiple textual complexity indices are used for analyzing the blog and microblog posts of 27 students engaged in a project-based learning activity. The preliminary results of this pilot study are encouraging, with several indexes predictive of student grades and/or learning styles.

Topic extraction from microblog posts using conversation structures

Conventional topic models are ineffective for topic extraction from microblog messages since the lack of structure and context among the posts renders poor message-level word co-occurrence patterns. In this work, we organize microblog posts as conversation trees based on reposting and replying relations, which enrich context information to alleviate data sparseness. Our model generates words according to topic dependencies derived from the conversation structures. In specific, we differentiate messages as leader messages, which initiate key aspects of previously focused topics or shift the focus to different topics, and follower messages that do not introduce any new information but simply echo topics from the messages that they repost or reply. Our model captures the different extents that leader and follower messages may contain the key topical words, thus further enhances the quality of the induced topics. The results of thorough experiments demonstrate the effectiveness of our proposed model.

Semi-automatic keyword based approach for FIRE 2016 Microblog Track

This paper describes our semi-automatic keyword based approach for the four topics of Information Extraction from Microblogs Posted during Disasters task at Forum for Information Retrieval Evaluation (FIRE) 2016. The approach consists three phases.

Enterprise Social Networking

Microblogging in the workplace as a functionality of Enterprise Social Networking (ESN) platforms is a relatively new phenomenon of which the use in knowledge work has not yet received much attention from research. In this cross-sectional study, I attempt to shed light on the role of microblogging in knowledge work. I identify microblogging use practices of knowledge workers on ESN platforms, and I identify its role in supporting knowledge work performance. A questionnaire is carried out among a non-representative sample of knowledge workers. The results shed light on the purposes of the microblogging messages that knowledge workers write. It also helps us find out whether microblogging supports them in performing their work. The survey is based on existing theory that supplied me with possible microblog purposes as well as theory on what the actions of knowledge workers are. The results reveal that “knowledge & news sharing”, “crowd sourcing”, “socializing & networking” and “discussion & opinion” are frequent microblog purposes. The study furthermore shows that microblogging benefits knowledge workers’ work. Microblogging seems to be a worthy addition to the existing means of communication in the workplace, and is especially useful to let knowledge, news and social contact reach a further and broader audience than it would in a situation without this social networking service.

¿Qué está sucediendo? la "twitteración" de los medios colombianos

Desde hace unos años, en la actividad periodística se han venido utilizando las nuevas herramientas que han surgido con el desarrollo de las tecnologías de la información y de la comunicación (TIC). Las distintas transformaciones no han significado una redefinición de lo que es la esencia del periodismo, pero si de la forma como los periodistas se adaptan a su trabajo, según las limitaciones y consideraciones que derivan el empleo de las tecnologías y del entorno sociocultural en la cual se encuentran. En este trabajo se analiza la manera como tres medios de información colombianos (dos de ellos versiones impresas y uno que solo se publica en internet) han estado empleando el microblog Twitter, que hoy en día es uno de los instrumentos más utilizados en las redacciones para difundir noticias rápidamente, invitar a que los usuarios complementen las informaciones, dar espacio a otras agendas temáticas y obtener información de primera mano sobre acontecimientos que no pueden ser cubiertos por los periodistas en un primer momento.

ENEM atinge marca de 1,1 milhão de menções nas redes sociais durante fim de semana

Realizado neste fim de semana, o ENEM (Exame Nacional do Ensino Médio) atraiu grande mobilização nas redes sociais e bateu a marca de 1 milhão e 110 mil menções no Twitter entre sábado e a manhã de segunda. Principal assunto do microblog ao longo da última semana, o Exame ficou amplamente destacado em várias regiões do Brasil, conforme análise do Pulso do País, ferramenta de monitoramento e análise de rede da FGV-DAPP. O pico de postagens aconteceu por volta das 18h de sábado – com média de 40 posts por segundo.

Empolgação com Copa freia protestos nas redes sociais no Brasil e no mundo

Depois da Copa das Confederações de 2013 serem marcadas pelas manifestações contrárias à realização e gastos excessivos para o Mundial do Brasil – tanto nas ruas quanto na internet -, a impressão de que houve uma queda nos protestos da Copa do Mundo do Brasil se confirma com uma ampla pesquisa nas redes sociais. Em monitoramento de mais de 11 milhões de mensagens de Twitter no Brasil e no mundo, o número de menções a protestos é de apenas 17 mil – percentualmente, significa dizer que apenas 0,15% das mensagens escritas no microblog fazem referência a problemas no Mundial.

Trendtv : uma arquitetura para mudança automática de canais de TV baseada em redes sociais virtuais com graus de amizade e suporte a múltiplos dispositivos no cenário da TV digital brasileira

Due to the large amount of television content, which emerged from the Digital TV, viewers are facing a new challenge, how to find interesting content intuitively and efficiently. The Personalized Electronic Programming Guides (pEPG) arise as an answer to this complex challenge. We propose TrendTV a layered architecture that allows the formation of social networks among viewers of Interactive Digital TV based on online microblogging. Associated with a pEPG, this social network allows the viewer to perform content filtering on a particular subject from the indications made by other viewers of his network. Allowing the viewer to create his own indications for a particular content when it is displayed, or to analyze the importance of a particular program online, based on these indications. This allows any user to perform filtering on content and generate or exchange information with other users in a flexible and transparent way, using several different devices (TVs, Smartphones, Tablets or PCs). Moreover, this architecture defines a mechanism to perform the automatic exchange of channels based on the best program that is showing at the moment, suggesting new components to be added to the middleware of the Brazilian Digital TV System (Ginga). The result is a constructed and dynamic database containing the classification of several TV programs as well as an application to automatically switch to the best channel of the moment

Jornalismo na internet: a influência das redes sociais no processo de confecção das notícias de entretenimento e celebridade

Pós-graduação em Comunicação - FAAC