698 resultados para twitter


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THE MAP AS A COLLABORATIVE MEDIUM FOR SPATIO-TEMPORAL VISUALIZATION This dissertation focuses on the relationship between maps and spatio-temporal data visualization. It is divided into two components: theoretical framework and practical approach. The study begins by questioning the role of the map in today’s digital society and particularly its role in visualization, and finishes with the conceptualization and development of an interactive dot map that visualizes data from Instagram and Twitter. Nowadays, geographic information is no longer produced just by experts, but also by ordinary people that are able to participate in data creation and exchange. The Web 2.0 lies in the heart of this change, where social media represent a significant tool for producing geotagged content, allowing its users to share their location and to spatially reference their publications. Furthermore, amateur mapmaking and neogeography have benefited from the emergence of several new devices that enable the creation of digital maps that are interactive, adaptable and easily shared on the Web. This study adopts a descriptive approach calling upon the diverse aspects of the map and its evolution as a medium for visualizing geotagged data, highlighting collaborative mapping as an emerging subject area that is of mandatory future research. Relevant projects are also analyzed in order to identify trends and different approaches for visualizing social media data in its spatial context, intended to support the project’s conceptualization, development and evaluation. The created map demonstrates how spatial knowledge and perception of place are now redefined by the contributions of individuals; it also shows how that activity produces new sources of geographic information, forcing the development of new techniques and approaches that allow an adequate exploration of content and visualization methods of the contemporary map

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At an election rally on 20 March 2014, Turkish Prime Minister, Recep Tayyip Erdoğan, declared he wanted to “root out Twitter, no matter what the international community thought”. A few hours later Twitter was shut down. The decision backfired. Turkey’s some 12 million Twitter users immediately found ways to circumnavigate the ban; it highlighted the increasingly authoritarian trend of Erdoğan; and it brought immediate condemnation from numerous foreign leaders. The move has been viewed by many Turks as part of an operation to cover up a corruption probe that has consumed Turkey since 17 December, before key local elections on 30 March. The elections, which will be followed by Presidential election in August and political ones expected in 2015, have become a referendum on Erdoğan’s popularity, and are set to shape Turkey’s political landscape. A lot is at stake as a big win for the ruling Justice and Development Party (AKP) may not only be used by Erdoğan to justify his response to the corruption scandal but also risks consolidating his increasingly authoritarian style of governance.

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On 30 March, Turkey’s ruling Justice and Development Party (AKP) scooped a significant victory in local elections, taking almost 44 percent of the vote despite accusations of corruption, undermining the rule of law, fundamental rights and freedoms. While there have been claims of election fraud and the main opposition party, the Republican People’s Party (CHP), has demanded recounts in several cities including Istanbul and Ankara, it is clear that even allowing for some level of fraud the win was substantial and more than most people expected. Prime Minister Recep Tayyip Erdoğan has reached a juncture. He has two choices: return to the path of democracy after a period of democratic back-sliding which included passing several controversial reforms such as a new internet law which led to the recent banning of Twitter and Youtube; or alternatively he can forge ahead with his much talked of revenge campaign against those he has accused of creating a “parallel state” and conspiring to remove him from power. Given that Erdoğan viewed this election as a referendum on his popularity and leadership there is a serious risk that he will do the latter; using the significant mandate given to him to do whatever he wants, including further cracking down on democracy.

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In the 2000’s, the Internet became the preferred mean for the citizens to communicate. The YouTube, Twitter, Facebook, LinkedIn, i.e., the social networks in general appeared together with the Web 2.0, which allows an extraordinary interaction between citizens and the democratic institutions. The trade unions constantly fight governments’ decisions, especially in periods of crisis like the one that the world, Europe and, in particular, Portugal are facing. In this regard, the use of e-participation platforms is expected to strengthen the relationship between trade unions and the education community. This paper reports the research about the planning and driving of a series of experiments of online public consultation, launched by teachers’ trade unions. These experiments are compared with those of other countries, such as Australia, United Kingdom and United States of America. A quantitative analysis of the results regarding hits, subscriptions, and response rates is presented, and it is compared with the 90-9-1 rule, the ASCU model and data from government agencies. The experiments performed used the Liberopinion, an online platform that supports bidirectional asynchronous communication. A better understanding of the benefits of these collaborative environments is expected by promoting quality of interaction between actors.

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De 45 mil menções no Twitter, entre quinta e ontem à noite, a Temer e aos problemas do Brasil Segundo levantamento da FGV/DAPP, a maior preocupação é com a educação, com 20 mil referências Em seguida. estão economia (16 mil), saúde (nove mil) e geração de empregos (sete mil).

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Análise realizada pela DAPP/FGV (Diretoria de Análise de Políticas Públicas da Fundação Getulio Vargas) com informações do Twitter mostra a opinião pública britânica fortemente dividida em relação à saída do Reino Unido da União Europeia, chamado de Brexit (junção das palavras inglesas British, que significa Reino Unido, e exit, que significa saída). Há alguma tendência favorável à permanência na União Europeia. As postagens na rede social em línguas alemã e francesa mostram uma tendência de apoio à permanência do Reino Unido no bloco europeu. Esse resultado, baseado em dados obtidos ao longo de uma semana, sugere importantes diferenças de perspectiva quanto ao futuro do Reino Unido na UE tanto entre britânicos como entre as principais potências do bloco, cujas visões acerca dos benefícios e prejuízos da UE ficam evidentes no debate.

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In the present study the use and experience of using social media was examined in men and women in order to evaluate a possible relationship to gender. Particular emphasis was placed upon negative emotions. A questionnaire was constructed and submitted via Facebook by an online survey. There were 61 women and 50 men who completed the questionnaire. It was found that women and men used social media similarly with regard to frequency and the kind of social media they approached. Both genders used social media on a daily basis and both had profiles on the most popular social network sites as Facebook, Instagram, YouTube and Snapchat. The main purpose for using social media was to maintain already established friend relationships and to take part of other peoples content. A majority of the women but not the men used blogs, whereas a majority of the men but not the women used Twitter more frequently. The study also indicated a sex difference concerning the contents they took part of in the social media. More women took part of content that was related to a female stereotypic image whereas more men took part of content that was related to a male stereotypic image. There was no gender difference concerning contents such as fashion, entertainment, humour, news or politics. In the women there was a significant relationship between the use of social media and negative emotions. However, in the men, such a relationship was not found. The results indicate that more women tend to experience negative emotions when active on social media. More women experienced life as meaningless and boring, as well as stress after consuming contents in social media. They also did compare their life with others on social media leaving them with negative feelings. Such relationships could not be found in the men. In conclusion the present study indicated that for many aspects the use of social media is similar in women and men. However there seems to be a difference with regard to the experience of negative emotions in relation to the use of social media in women but not in men. 

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Até às 17h do dia 7 de julho, houve mais de 130 mil menções a Eduardo Cunha no Twitter, 28 mil delas sobre o choro do deputado.

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O atentado em Nice, na França, fez aumentar o medo — que já era grande — dos brasileiros de um eventual ato terrorista nos Jogos. Veja os dados da FGV/DAPP: na semana que antecedeu o ataque com o caminhão, 46 mil brasileiros publicaram no Twitter sobre a segurança na Rio-2016. Após o atentato, já são mais de 59 mil.

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Thesis (Ph.D.)--University of Washington, 2016-06

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A aceitação e o uso de Tecnologia da Informação (TI) pelo indivíduo têm sido estudadas por diferentes modelos conceituais que, em geral, derivaram de teorias da Psicologia como a TRA Theory of Reasoned Action e a TPB Theory of Planned Behavior, derivada da primeira. Um importante modelo de análise dai derivado, resultado da minuciosa análise de outros 8 modelos anteriores, o UTAUT - Unified Theory of Acceptance and Use of Technology de VENKATESH et. al. (2003) tem sido largamente analisado e validado em vários cenários de tecnologia e ambientes. Este trabalho visa compreender de uma maneira mais ampla dos fatores antecedentes da intenção de uso e comportamento de uso a partir do modelo UTAUT, bem como os fatores que melhores explicam a intenção e o comportamento de uso, assim como a análise de seus moderadores. Em seu desenvolvimento, Venkatesh et al. empreenderam comparações em três etapas de implantação e em dois cenários: na adoção mandatória, aquela em que se deu em ambiente empresarial onde o sistema é requerido para execução de processos e tomada de decisões, e na adoção voluntária, cenário em que a adoção se dá pelo indivíduo. No segundo caso, os autores concluíram que o fator influência social tem baixa magnitude e significância, não se revelando um fator importante na adoção da tecnologia. Este trabalho visa analisar também se o mesmo fenômeno ocorre para adoção que se dá de forma voluntária, mas passível de ser altamente influenciada pelos laços sociais, como o que ocorre entre usuários das redes sociais como Orkut, Facebook, Twitter e Linkedin, especialmente em tecnologias que habilitam ganhos associados ao exercício desses laços, como no caso do uso de sites de compras coletivas tais como Peixe Urbano, Groupon e Clickon. Com base no modelo UTAUT, foi aplicada uma pesquisa e posteriormente foram analisados os resultados de 292 respondentes validados que foram acessados por e-mails e redes sociais. A técnica de análise empregada consistiu do uso de modelagem por equações estruturais, com base no algoritmo PLS Partial Least Square, com bootstrap de 1000 reamostragens. Os resultados demonstraram alta magnitude e significância preditiva sobre a Intenção de uso da tecnologia pelos fatores de Expectativa de Desempenho (0,288@0,1%), Influência Social (0,176@0,1%). Os primeiro, compatível com estudos anteriores. Já a magnitude e significância do último fator resultou amplamente superior ao estudo original de Venkatesh et al. (2003) variando entre 0,02 a 0,04, não significante, dependendo dos dados estarem agrupados ou não (p.465). A principal conclusão deste estudo é que, ao considerarmos o fenômeno das compras coletivas, em um ambiente de adoção voluntária, portanto, o fator social é altamente influente na intenção de uso da tecnologia, o que contrasta fortemente com o estudo original do UTAUT (já que no estudo de Venkatesh et al. (2003) este fator não foi significante) e apresenta várias possibilidades de pesquisas futuras e possíveis implicações gerenciais.

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O trabalho é resultado de pesquisa realizada sobre a gestão da Comunicação em processos de crise organizacional. Busca-se compreender como se processa, na atualidade, o fluxo informacional nesses momentos, seja pela mídia tradicional,seja pelas redes sociais online, e, dessa forma, trazer contribuições para a atuação das organizações sob uma perspectiva ética. Em termos metodológicos, a pesquisa apoia-se no estudo de caso da gestão da Comunicação da crise do Playcenter, ocorrida em abril de 2011. Utiliza-se de revisão bibliográfica, análises de matérias jornalísticas, posts do Twitter, além de entrevistas semiestruturadas. Os resultados revelam que a imagem não é uma questão de emissão, mas de recepção, resultado de percepções diversas e que esses fenômenos, na atualidade, têm sido potencializados pela rápida propagação dos fatos facilitada pela internet. Entretanto, ainda há um forte papel das mídias tradicionais nesses episódios, forte convergência entre as mídias tradicionais e as novas mídias, bem como convergência entre os cidadãos na propagação dos fatos.

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We present an initial examination of the (alt)metric ageing factor to study posts in Twitter. Ageing factor was used to characterize a sample of tweets, which contained a variety of astronomical terms. It was found that ageing factor can detect topics that both cause people to retweet faster than baseline values, and topics that hold people’s attention for longer than baseline values.

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Timeline generation is an important research task which can help users to have a quick understanding of the overall evolution of any given topic. It thus attracts much attention from research communities in recent years. Nevertheless, existing work on timeline generation often ignores an important factor, the attention attracted to topics of interest (hereafter termed "social attention"). Without taking into consideration social attention, the generated timelines may not reflect users' collective interests. In this paper, we study how to incorporate social attention in the generation of timeline summaries. In particular, for a given topic, we capture social attention by learning users' collective interests in the form of word distributions from Twitter, which are subsequently incorporated into a unified framework for timeline summary generation. We construct four evaluation sets over six diverse topics. We demonstrate that our proposed approach is able to generate both informative and interesting timelines. Our work sheds light on the feasibility of incorporating social attention into traditional text mining tasks. Copyright © 2013 ACM.

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We introduce ReDites, a system for realtime event detection, tracking, monitoring and visualisation. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. Events are automatically detected from the Twitter stream. Then those that are categorised as being security-relevant are tracked, geolocated, summarised and visualised for the end-user. Furthermore, the system tracks changes in emotions over events, signalling possible flashpoints or abatement. We demonstrate the capabilities of ReDites using an extended use case from the September 2013 Westgate shooting incident. Through an evaluation of system latencies, we also show that enriched events are made available for users to explore within seconds of that event occurring.