Public scientific communication on Twitter:visual analytic approach

Purpose - The purpose of this paper is to assess high-dimensional visualisation, combined with pattern matching, as an approach to observing dynamic changes in the ways people tweet about science topics. Design/methodology/approach - The high-dimensional visualisation approach was applied to three scientific topics to test its effectiveness for longitudinal analysis of message framing on Twitter over two disjoint periods in time. The paper uses coding frames to drive categorisation and visual analytics of tweets discussing the science topics. Findings - The findings point to the potential of this mixed methods approach, as it allows sufficiently high sensitivity to recognise and support the analysis of non-trending as well as trending topics on Twitter. Research limitations/implications - Three topics are studied and these illustrate a range of frames, but results may not be representative of all scientific topics. Social implications - Funding bodies increasingly encourage scientists to participate in public engagement. As social media provides an avenue actively utilised for public communication, understanding the nature of the dialog on this medium is important for the scientific community and the public at large. Originality/value - This study differs from standard approaches to the analysis of microblog data, which tend to focus on machine driven analysis large-scale datasets. It provides evidence that this approach enables practical and effective analysis of the content of midsize to large collections of microposts.

Stretching the life of Twitter classifiers with time-stamped semantic graphs

Social media has become an effective channel for communicating both trends and public opinion on current events. However the automatic topic classification of social media content pose various challenges. Topic classification is a common technique used for automatically capturing themes that emerge from social media streams. However, such techniques are sensitive to the evolution of topics when new event-dependent vocabularies start to emerge (e.g., Crimea becoming relevant to War Conflict during the Ukraine crisis in 2014). Therefore, traditional supervised classification methods which rely on labelled data could rapidly become outdated. In this paper we propose a novel transfer learning approach to address the classification task of new data when the only available labelled data belong to a previous epoch. This approach relies on the incorporation of knowledge from DBpedia graphs. Our findings show promising results in understanding how features age, and how semantic features can support the evolution of topic classifiers.

Coding together at scale:GitHub as a collaborative social network

GitHub is the most popular repository for open source code (Finley 2011). It has more than 3.5 million users, as the company declared in April 2013, and more than 10 million repositories, as of December 2013. It has a publicly accessible API and, since March 2012, it also publishes a stream of all the events occurring on public projects. Interactions among GitHub users are of a complex nature and take place in different forms. Developers create and fork repositories, push code, approve code pushed by others, bookmark their favorite projects and follow other developers to keep track of their activities. In this paper we present a characterization of GitHub, as both a social network and a collaborative platform. To the best of our knowledge, this is the first quantitative study about the interactions happening on GitHub. We analyze the logs from the service over 18 months (between March 11, 2012 and September 11, 2013), describing 183.54 million events and we obtain information about 2.19 million users and 5.68 million repositories, both growing linearly in time. We show that the distributions of the number of contributors per project, watchers per project and followers per user show a power-law-like shape. We analyze social ties and repository-mediated collaboration patterns, and we observe a remarkably low level of reciprocity of the social connections. We also measure the activity of each user in terms of authored events and we observe that very active users do not necessarily have a large number of followers. Finally, we provide a geographic characterization of the centers of activity and we investigate how distance influences collaboration.

Importance and Benefits of OPEN SCIENCE for Ubiquitous Sharing, Dissemination and Impact

While openness is well applied to software development and exploitation (open sources), and successfully applied to new business models (open innovation), fundamental and applied research seems to lag behind. Even after decades of advocacy, in 2011 only 50% of the public-funded research was freely available and accessible (Archambault et al., 2013). The current research workflows, stemming from a pre-internet age, result in loss of opportunity not only for the researchers themselves (cf. extensive literature on topic at Open Access citation project, http://opcit.eprints.org/), but also slows down innovation and application of research results (Houghton & Swan, 2011). Recent studies continue to suggest that lack of awareness among researchers, rather than lack of e-infrastructure and methodology, is a key reason for this loss of opportunity (Graziotin 2014). The session will focus on why Open Science is ideally suited to achieving tenure-relevant researcher impact in a “Publish or Perish” reality. Open Science encapsulates tools and approaches for each step along the research cycle: from Open Notebook Science to Open Data, Open Access, all setting up researchers for capitalising on social media in order to promote and discuss, and establish unexpected collaborations. Incorporating these new approaches into a updated personal research workflow is of strategic beneficial for young researchers, and will prepare them for expected long term funder trends towards greater openness and demand for greater return on investment (ROI) for public funds.

Mainstream media behavior analysis on Twitter:a case study on UK general election

With the development of social media tools such as Facebook and Twitter, mainstream media organizations including newspapers and TV media have played an active role in engaging with their audience and strengthening their influence on the recently emerged platforms. In this paper, we analyze the behavior of mainstream media on Twitter and study how they exert their influence to shape public opinion during the UK's 2010 General Election. We first propose an empirical measure to quantify mainstream media bias based on sentiment analysis and show that it correlates better with the actual political bias in the UK media than the pure quantitative measures based on media coverage of various political parties. We then compare the information diffusion patterns from different categories of sources. We found that while mainstream media is good at seeding prominent information cascades, its role in shaping public opinion is being challenged by journalists since tweets from them are more likely to be retweeted and they spread faster and have longer lifespan compared to tweets from mainstream media. Moreover, the political bias of the journalists is a good indicator of the actual election results. Copyright 2013 ACM.

Making sense of microposts (#MSM2013) concept extraction challenge

Microposts are small fragments of social media content that have been published using a lightweight paradigm (e.g. Tweets, Facebook likes, foursquare check-ins). Microposts have been used for a variety of applications (e.g., sentiment analysis, opinion mining, trend analysis), by gleaning useful information, often using third-party concept extraction tools. There has been very large uptake of such tools in the last few years, along with the creation and adoption of new methods for concept extraction. However, the evaluation of such efforts has been largely consigned to document corpora (e.g. news articles), questioning the suitability of concept extraction tools and methods for Micropost data. This report describes the Making Sense of Microposts Workshop (#MSM2013) Concept Extraction Challenge, hosted in conjunction with the 2013 World Wide Web conference (WWW'13). The Challenge dataset comprised a manually annotated training corpus of Microposts and an unlabelled test corpus. Participants were set the task of engineering a concept extraction system for a defined set of concepts. Out of a total of 22 complete submissions 13 were accepted for presentation at the workshop; the submissions covered methods ranging from sequence mining algorithms for attribute extraction to part-of-speech tagging for Micropost cleaning and rule-based and discriminative models for token classification. In this report we describe the evaluation process and explain the performance of different approaches in different contexts.

Hogyan kezeljük a „közösségi ügyfeleket”? – Social CRM marketing és IT megközelítésben (How to manage social customer? Social CRM in marketing and IT context.)

Van egy szó, ami egyre fontosabb lesz a társadalom és a vállalatok számára is, ez a szó a közösség. A közösséghez tevékenységek tartoznak, és ezen a ponton kapcsolódik be a vállalat. A vállalkozások az elmúlt években a közösségi igényeket a CRM-(Customer Relationship Management) megoldásokkal szolgálták ki. Informatikailag a közösségi hálózatok, már nemcsak vállalkozási folyamatot, hanem ehhez kapcsoltan az emberek társadalmi igényét is megpróbálják lefedni az elektronika lehetőségeivel. Egyre inkább a közösségi vállalkozások korát éljük, melyben a folyamathoz tartozó közösségek megosztják, egymás rendelkezésére bocsátják az információkat. A korábbi klasszikus CRM-rendszerek csak begyűjtötték az információkat, ezzel ellenben a közösségi CRM-rendszerek kétirányú kommunikációt folytatnak, párbeszédet kezdeményeznek az ügyfelekkel, buzdítják őket, hogy mondják el a véleményüket. Vajon ez az új stratégia,egy teljesen új világot hoz el a vállalatok számára, vagy csak a CRM fejlődésének egy újabb fokát jelenti? A szerzők erre a kérdésre keresik a választ gyakorlati esetek és szakirodalmi publikációk feldolgozásával. ______ There is a word that begins to be more and more important for the society and the companies, and this word is community. We can talk about social networks, people seek the social demand they already had as a part of their lives for a long time, and this means that it appears in the electronic society as an essential need too. The community is not enough, activities are also needed and this is the point where the companies link in, who promote their goods and facilities to the outside world and with this they use the next stage of customer relationship management, the fulfilment of social needs. We live in the age of social shopping, communities are everywhere and everyone shares information, and up to the present classic CR M systems ran from static databases. On the contrary social CR M systems perform a two-way communication, start a conversation with customers and encourage them to tell their opinions, which always changes on social media, so they build a dynamic database and communicate with customers through response-reactions. Does this new strategy bring a whole new world to companies or is it only another step in the development and another channel of CRM?

Marketing político e mídias sociais: as estratégias utilizadas no facebook e twitter de Cássio Cunha Lima PSDB/PB, nas eleições de 2014

This dissertation aims to analyze and understand the process and practices of political marketing strategies applied to social media facebook and twitter Cássio Cunha Lima - PSDB candidate for governor of Paraíba, in the 2014 elections The work is divided into three parts . The first two chapters, both of theoretical nature, underlie the discussion about the use of the Internet as a campaign space and political marketing campaign as well as the different communication strategies and electoral marketing already presented in the literature. Following, is dedicated to a topic for the presentation of the methodology and subsequently makes the discussion of empirical data analysis. Finally, we present the conclusions. The analysis takes as its starting point the models Figueiredo et al. (1998) and Albuquerque (1999) to observe the traditional strategies and suggests the inclusion of typically recorded on the Internet strategies. The methodology used for the analysis was the qualitative and quantitative content from variables that we list different campaign strategies. In order to achieve the purpose of this research, we conducted a case study as an analytical object online campaign Cássio Cunha Lima. The case study took place from the construction of a candidate's biographical and political profile, presented and discussed in the text. This research also made use of virtual ethnography. Therefore, were monitored social media facebook and twitter that political, with the help of image capture program - Greenshot by creating pre-defined categories of analysis, for example, calendar, prestige and support, negative campaign , engagement, among others. The period chosen for monitoring the candidate's official profiles was from 24 August to 28 October 2014, because it holds the pre, during and post-election where there was greater candidate drive level and his team marketing in social media selected for analysis. The results indicate that mobilization strategy (online and offline), merged with the promotion schedule, it is predominant in the social media Cassio. They also indicate that they do not show the failure of the campaign of the candidate in 2014.

Rede de aprendizagem em robótica : uma perspectiva educativa de trabalho com jovens

The present research sought to comprehend what is the development perspective of a collective work of educational robotics with high school students. The work started from the development activities Mathematics Sub Project of PIBID (Programa Institucional de Bolsa de Iniciação à Docência, Institutional Program of Initiation to Teaching Scholarship) in a school network from the state of Minas Gerais. The production process of data of this research was done through the follow up of high school students that participated in workshops robotics at the mentioned public school and were selected to continue the project at the Faculty of Mechanical Engineering in Federal University of Uberlândia (UFU). Subsequently, these students were involved in activities related to Robotics championships, elapsed through different spaces in public and private schools of basic education, University and Non-Governmental Organization. The data at the research were registered by photos, videos, field notes, documents produced by the participants and arising from internet like the social media Facebook, questionnaires and, mainly, interviews. At the analysis process of data the followed axes were constituted: Movement Learning Network with Robotics; The Different Roles at the Robotics Events and Experiences in Engineering and Technology. By this axes we understand what is the trajectory of the constitution process of a learning network in educational robotics that we find in expansion and consolidation. In this network the research participants performed different roles which left imprints responsible for their transformation. As a more evident imprint, we detected the robot construction and programming, which as for as they moved their studies forward, they developed the subject autonomy, collaboration, sharing and technological authorship.

ToPI - uma abordagem online para identificar locais de interesse utilizando fotografias geo-referenciadas

Due to the growing use of social networks people no longer just consume data, they also produce and share it. Geo-tagged information, i.e., data with geographical location, have been used in many attempts to identify popular places and help tourists that will visit unfamiliar cities. This Master Thesis presents an online strategy that uses geo-tagged photos and their metadata in order to identify places of interest inside a given geographical area and retrieve relevant related information. The whole process runs automatically in real time, returning updated information about places. The proposed strategy takes into account the inherent dynamism of social media, and thus is robust under inconsistencies and/or outdated information, a common issue in solutions that rely on previously stored data. The analysis of the results showed that our approach is very promising, returning places that present high agreement with those from a popular travel website.

Bola na rede: uma análise das estratégias comunicacionais de empresas esportivas no ambiente digital conectado

O uso das mídias sociais digitais como meio de divulgação de produtos, serviços e conteúdos organizacionais tem crescido nas últimas décadas e ganhou especial atenção nos planejamentos de comunicação organizacional e nos estudos acadêmicos sobre o tema. Nesse sentido, o segmento de empresas esportivas atua com destaque, despertando o interesse e a empatia do consumidor. Por meio de análise bibliográfica e estudo empírico, esta pesquisa teve como objetivo investigar as ações de comunicação mercadológica do segmento esportivo no ambiente digital conectado, através de um estudo de caso múltiplo das empresas Nike e Adidas. Para a obtenção dos dados, foram realizadas entrevistas em profundidade com profissionais do mercado e aplicado um protocolo de investigação de redes sociais digitais nos perfis das duas empresas. Após a coleta dos dados, estes foram analisados à luz das teorias estudadas nos capítulos iniciais (que abordaram temas como comunicação organizacional, comunicação digital, esporte e comunicação esportiva), e foi possível concluir, entre outros pontos, que, no universo do segmento esportivo, a comunicação digital conectada não prioriza o diálogo com seus públicos de interesse, sendo essencialmente baseada na divulgação unilateral de conteúdos, nem tampouco explora a potencialidade de cada uma das plataformas digitais disponíveis, replicando conteúdos em diferentes ambientes. Ficou evidente, também, o uso dos elementos constituintes do universo esportivo como argumentos estratégicos de comunicação das empresas, decorrente de sua capacidade de estreitar os laços relacionais com os públicos de interesse, por meio de seus apelos simbólicos de fácil identificação social.

Hearing the Child's Voice: Their Lived Experience in the Pediatric Intensive Care Unit

Background: More than 200,000 children are admitted annually to Pediatric Intensive Care Units (PICUs) in the US. Research has shown young children can provide insight into their hospitalization experiences; child reports rather than parental reports are critical to understanding the child’s experience. Information relating to children’s perceptions while still in the PICU is scarce. Aims: The purpose of this qualitative study was to investigate school age children’s and adolescents’ perceptions of PICU while in the PICU; changes in perceptions after transfer to the General Care Unit (GCU); differences in perceptions of school age children/adolescents and those with more invasive procedures. Methods: Interviews were conducted in PICU within 24-48 hours of admission and 24-48 hours after transfer to GCU. Data on demographics, clinical care and number/types of procedures were obtained. Results: Participants were 7 school age children, 13 adolescents; 10 Hispanic; 13 males. Five overarching themes: Coping Strategies, Environmental Factors, Stressors, Procedures/Medications, and Information. Children emphasized the importance of peer support and visitation; adolescents relied strongly on social media and texting. Parent visits sometimes were more stressful than peer visits. Video games, TV, visitors, and eating were diversional activities. In the PICU, they wanted windows to see outside and interesting things to see on the ceiling above them. Children expressed anticipatory fear of shots and procedures, frustration with lab work, and overwhelming PICU equipment. Number of child responses was higher in PICU (927) than GCU (593); the largest difference was in Environmental Factors. Variations between school age children and adolescents were primarily in Coping Strategies, especially in social support. Number of GCU procedures were the same (8 children) or greater (2 children) than PICU procedures. Discussion: Admission to PICU is a very stressful event. Perceptions from children while still in PICU found information not previously found in the literature. Longitudinal studies to identify children’s perceptions regarding PICU hospitalization and post-discharge outcomes are needed.

Aproximaciones a los usos y apropiación de Twitter en bibliotecas universitarias de Argentina

El artículo analiza los principales usos de la plataforma Twitter por parte de bibliotecas universitarias en Argentina. Luego de la revisión bibliográfica, se exponen los procedimientos metodológicos empleados para identificar las instituciones que cuentan con esta herramienta comunicacional en la actualidad y los usos que se hace de ella a partir de ítems tales como: datos institucionales básicos, visibilidad y accesibilidad de la cuenta de Twitter en la Web de la biblioteca, momento de inicio de la actividad, volumen histórico de tuits, seguidores y siguiendo, así como cantidad y tipo de publicaciones realizadas en el período del relevamiento de datos. En los resultados se observa que un escaso número de bibliotecas adoptaron Twitter y que la apropiación de la herramienta muestra en general usos no planificados más centrados en la difusión que la interacción con usuarios. Se proponen estudios complementarios para conocer rutinas laborales de los bibliotecarios al respecto

Aproximaciones a los usos y apropiación de Twitter en bibliotecas universitarias de Argentina

El artículo analiza los principales usos de la plataforma Twitter por parte de bibliotecas universitarias en Argentina. Luego de la revisión bibliográfica, se exponen los procedimientos metodológicos empleados para identificar las instituciones que cuentan con esta herramienta comunicacional en la actualidad y los usos que se hace de ella a partir de ítems tales como: datos institucionales básicos, visibilidad y accesibilidad de la cuenta de Twitter en la Web de la biblioteca, momento de inicio de la actividad, volumen histórico de tuits, seguidores y siguiendo, así como cantidad y tipo de publicaciones realizadas en el período del relevamiento de datos. En los resultados se observa que un escaso número de bibliotecas adoptaron Twitter y que la apropiación de la herramienta muestra en general usos no planificados más centrados en la difusión que la interacción con usuarios. Se proponen estudios complementarios para conocer rutinas laborales de los bibliotecarios al respecto

Aproximaciones a los usos y apropiación de Twitter en bibliotecas universitarias de Argentina

El artículo analiza los principales usos de la plataforma Twitter por parte de bibliotecas universitarias en Argentina. Luego de la revisión bibliográfica, se exponen los procedimientos metodológicos empleados para identificar las instituciones que cuentan con esta herramienta comunicacional en la actualidad y los usos que se hace de ella a partir de ítems tales como: datos institucionales básicos, visibilidad y accesibilidad de la cuenta de Twitter en la Web de la biblioteca, momento de inicio de la actividad, volumen histórico de tuits, seguidores y siguiendo, así como cantidad y tipo de publicaciones realizadas en el período del relevamiento de datos. En los resultados se observa que un escaso número de bibliotecas adoptaron Twitter y que la apropiación de la herramienta muestra en general usos no planificados más centrados en la difusión que la interacción con usuarios. Se proponen estudios complementarios para conocer rutinas laborales de los bibliotecarios al respecto