Social media in disaster response : Queensland Police Service - public engagement during the 2011 floods

Social Media, particularly Microblogging services, are now being adopted as an additional tool for emergency service agencies to be able to interact with the community at all stages of a disaster. Unfortunately, no standard framework for Social Media adoption for disaster management exists and emergency service agencies are adopting Social Media in an ad-hoc fashion. This paper seeks to provide a general understanding of how Social Media is being used by emergency service agencies during disasters, to better understand how we might develop a standardised framework of adoption. In this study of the 2010/11 Queensland Flood event, Facebook broadcast messages from the Queensland Police Service to the general public, were analysed by genre. Findings show that these Microblogging activities were mostly about information distribution and warning broadcasts and that the strength of Social Media for two-way communication and collaboration with the general public, was under-utilised during this event.

Student attention, engagement and participation in a Twitter-friendly classroom

Guided by a participatory action research methodology, this paper outlines an approach to integrating the social media Twitter platform within a tertiary education course, based on a social, constructivist pedagogy. It explores the perceptions of students on the benefits of using this technology for enhancing attentiveness, engagement and participation in the classroom. Previous studies have shown that greater participation and communication can stimulate student learning and lead to better academic performance, increased motivation, and an appreciation of different points of views. The untested hypothesis is that social media tools like Twitter can foster this type of communication. Students posted their responses during classroom activities via Twitter and then were surveyed on their perceived benefits associated with using the social media platform. The preliminary findings of the qualitative study suggest that, while not without its challenges, social media tools like Twitter have the potential to be used effectively for education-based activities in the classroom to improve communication and engagement both amongst the students and with the instructor.

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

O citar no Twitter: o caso de Clarice Lispector

The phenomenon of the World Wide Web, the Internet, has revolutionized the way we live in a contemporary relevance. The relationships among people have changed since the media also changed: the cyberspace has been established as an important vehicle of communication in which different languages, cultures and peoples coexist. Within the virtual space there are several fica possibilities for communication, interaction, fun, knowledge etc. Everything happens extremely quickly. An interesting example of that are blogs that, to survive virtuality, require constant updating. It has become interesting to notice the factor of personal expressiveness taking a new shape in the context of network, before being seen in elements such as diaries, poetry, artistic production or debate. The chances and, thus, the need to find people to interact and to share interests has taken a gigantic proportion, and, in this way, sources of audiovisual and reading activities are always in vogue, being shared every second. Blogging can be about different subjects, but what is perceived on all blogs is the strong trace of written text is always presented. Twitter has established itself as a microblogging network for the expression of dynamism, information sharing and interaction. Thus, it was interesting to approach the manner language is expressed in these microblogs thinking about the way that literary discourse is constructed when is seen, on quotations, in the context of this social network: Twitter. Being able to attest the great increase on the occurrences of quotes from different literary genres, it was useful to pay attention to this fact. In Brazil, Twitter has thousands of users, fans and readers, that rewrite and quote authors. The number of quotations is so abundant that it has popularized several Brazilian writers, such as: Clarice Lispector and Caio Fernando Abreu; authors that are frequetenly quoted. So, we made usage of semiotic studies of the French line. In...

Etnofaulismos e os dicionários monolíngues brasileiros

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Metodi di previsione di indici di borsa con tecniche di text & opinion mining applicate a twitter

Il problema relativo alla predizione, la ricerca di pattern predittivi all‘interno dei dati, è stato studiato ampiamente. Molte metodologie robuste ed efficienti sono state sviluppate, procedimenti che si basano sull‘analisi di informazioni numeriche strutturate. Quella testuale, d‘altro canto, è una tipologia di informazione fortemente destrutturata. Quindi, una immediata conclusione, porterebbe a pensare che per l‘analisi predittiva su dati testuali sia necessario sviluppare metodi completamente diversi da quelli ben noti dalle tecniche di data mining. Un problema di predizione può essere risolto utilizzando invece gli stessi metodi : dati testuali e documenti possono essere trasformati in valori numerici, considerando per esempio l‘assenza o la presenza di termini, rendendo di fatto possibile una utilizzazione efficiente delle tecniche già sviluppate. Il text mining abilita la congiunzione di concetti da campi di applicazione estremamente eterogenei. Con l‘immensa quantità di dati testuali presenti, basti pensare, sul World Wide Web, ed in continua crescita a causa dell‘utilizzo pervasivo di smartphones e computers, i campi di applicazione delle analisi di tipo testuale divengono innumerevoli. L‘avvento e la diffusione dei social networks e della pratica di micro blogging abilita le persone alla condivisione di opinioni e stati d‘animo, creando un corpus testuale di dimensioni incalcolabili aggiornato giornalmente. Le nuove tecniche di Sentiment Analysis, o Opinion Mining, si occupano di analizzare lo stato emotivo o la tipologia di opinione espressa all‘interno di un documento testuale. Esse sono discipline attraverso le quali, per esempio, estrarre indicatori dello stato d‘animo di un individuo, oppure di un insieme di individui, creando una rappresentazione dello stato emotivo sociale. L‘andamento dello stato emotivo sociale può condizionare macroscopicamente l‘evolvere di eventi globali? Studi in campo di Economia e Finanza Comportamentale assicurano un legame fra stato emotivo, capacità nel prendere decisioni ed indicatori economici. Grazie alle tecniche disponibili ed alla mole di dati testuali continuamente aggiornati riguardanti lo stato d‘animo di milioni di individui diviene possibile analizzare tali correlazioni. In questo studio viene costruito un sistema per la previsione delle variazioni di indici di borsa, basandosi su dati testuali estratti dalla piattaforma di microblogging Twitter, sotto forma di tweets pubblici; tale sistema include tecniche di miglioramento della previsione basate sullo studio di similarità dei testi, categorizzandone il contributo effettivo alla previsione.

Towards automatic tweet generation: A comparative study from the text summarization perspective in the journalism genre

In recent years, Twitter has become one of the most important microblogging services of the Web 2.0. Among the possible uses it allows, it can be employed for communicating and broadcasting information in real time. The goal of this research is to analyze the task of automatic tweet generation from a text summarization perspective in the context of the journalism genre. To achieve this, different state-of-the-art summarizers are selected and employed for producing multi-lingual tweets in two languages (English and Spanish). A wide experimental framework is proposed, comprising the creation of a new corpus, the generation of the automatic tweets, and their assessment through a quantitative and a qualitative evaluation, where informativeness, indicativeness and interest are key criteria that should be ensured in the proposed context. From the results obtained, it was observed that although the original tweets were considered as model tweets with respect to their informativeness, they were not among the most interesting ones from a human viewpoint. Therefore, relying only on these tweets may not be the ideal way to communicate news through Twitter, especially if a more personalized and catchy way of reporting news wants to be performed. In contrast, we showed that recent text summarization techniques may be more appropriate, reflecting a balance between indicativeness and interest, even if their content was different from the tweets delivered by the news providers.

Redes sociales de lectura: del libro de caras a la LIJ 2.0

Entre las múltiples posibilidades que nos ofrecen los distintos servicios de redes sociales y microblogging, algunos objetivos fundamentales para su uso didáctico pueden ser el fomento de la lectura y el desarrollo de la competencia lectoliteraria. Contrariamente a lo que muchas voces plantean, que las ven como una distracción frente a la lectura tradicional, las redes sociales son un espacio de conversación y lectura donde, con dinámicas adecuadas, se puede trabajar la comprensión lectora desde muy distintas perspectivas, siendo un espacio central de lo que se ha definido como LIJ 2.0 (Literatura y Lectura Infantil y Juvenil en la Web Social).

New Approaches for Teaching Soil and Rock Mechanics Using Information and Communication Technologies

Soil and rock mechanics are disciplines with a strong conceptual and methodological basis. Initially, when engineering students study these subjects, they have to understand new theoretical phenomena, which are explained through mathematical and/or physical laws (e.g. consolidation process, water flow through a porous media). In addition to the study of these phenomena, students have to learn how to carry out estimations of soil and rock parameters in laboratories according to standard tests. Nowadays, information and communication technologies (ICTs) provide a unique opportunity to improve the learning process of students studying the aforementioned subjects. In this paper, we describe our experience of the incorporation of ICTs into the classical teaching-learning process of soil and rock mechanics and explain in detail how we have successfully developed various initiatives which, in summary, are: (a) implementation of an online social networking and microblogging service (using Twitter) for gradually sending key concepts to students throughout the semester (gradual learning); (b) detailed online virtual laboratory tests for a delocalized development of lab practices (self-learning); (c) integration of different complementary learning resources (e.g. videos, free software, technical regulations, etc.) using an open webpage. The complementary use to the classical teaching-learning process of these ICT resources has been highly satisfactory for students, who have positively evaluated this new approach.

Lectura social y LIJ 2.0 en la universidad. Aplicaciones y redes sociales de lectura

Dentro del desarrollo de nuevos conceptos pedagógicos como las Tecnologías del Aprendizaje y el Conocimiento (TAC) y el Mobile Learning han aparecido algunos aspectos principales como la Lectura Social y la LIJ 2.0 fundamentales para la didáctica de la lengua y la literatura en entornos digitales. Entre las múltiples posibilidades que nos ofrecen los distintos servicios de redes sociales y microblogging, algunos objetivos para su uso didáctico pueden ser el fomento de la lectura y el desarrollo de la competencia lectoliteraria. Las redes sociales pueden ser un espacio de conversación y lectura donde, con dinámicas adecuadas, se trabaje la comprensión lectora desde muy distintas perspectivas. En el siguiente trabajo se hará una revisión de las distintas herramientas, desde los espacios más generalistas como Facebook o los clubes de lectura a través de servicios como Twitter, hasta llegar a aplicaciones y redes sociales específicas centradas en la literatura, como Aldiko, Wattpad, Ibooks, Anobii, Goodreads o Entrelectores, haciendo una descripción de las distintas posibilidades para la formación del alumnado y la promoción de la lectura.

A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs

Existing approaches of social influence analysis usually focus on how to develop effective algorithms to quantize users' influence scores. They rarely consider a person's expertise levels which are arguably important to influence measures. In this paper, we propose a computational approach to measuring the correlation between expertise and social media influence, and we take a new perspective to understand social media influence by incorporating expertise into influence analysis. We carefully constructed a large dataset of 13,684 Chinese celebrities from Sina Weibo (literally 'Sina microblogging'). We found that there is a strong correlation between expertise levels and social media influence scores. In addition, different expertise levels showed influence variation patterns: high-expertise celebrities have stronger influence on the 'audience' in their expertise domains.

We know what you want to buy:a demographic-based system for product recommendation on microblogs

Product recommender systems are often deployed by e-commerce websites to improve user experience and increase sales. However, recommendation is limited by the product information hosted in those e-commerce sites and is only triggered when users are performing e-commerce activities. In this paper, we develop a novel product recommender system called METIS, a MErchanT Intelligence recommender System, which detects users' purchase intents from their microblogs in near real-time and makes product recommendation based on matching the users' demographic information extracted from their public profiles with product demographics learned from microblogs and online reviews. METIS distinguishes itself from traditional product recommender systems in the following aspects: 1) METIS was developed based on a microblogging service platform. As such, it is not limited by the information available in any specific e-commerce website. In addition, METIS is able to track users' purchase intents in near real-time and make recommendations accordingly. 2) In METIS, product recommendation is framed as a learning to rank problem. Users' characteristics extracted from their public profiles in microblogs and products' demographics learned from both online product reviews and microblogs are fed into learning to rank algorithms for product recommendation. We have evaluated our system in a large dataset crawled from Sina Weibo. The experimental results have verified the feasibility and effectiveness of our system. We have also made a demo version of our system publicly available and have implemented a live system which allows registered users to receive recommendations in real time. © 2014 ACM.

A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs

Social media influence analysis, sometimes also called authority detection, aims to rank users based on their influence scores in social media. Existing approaches of social influence analysis usually focus on how to develop effective algorithms to quantize users’ influence scores. They rarely consider a person’s expertise levels which are arguably important to influence measures. In this paper, we propose a computational approach to measuring the correlation between expertise and social media influence, and we take a new perspective to understand social media influence by incorporating expertise into influence analysis. We carefully constructed a large dataset of 13,684 Chinese celebrities from Sina Weibo (literally ”Sina microblogging”). We found that there is a strong correlation between expertise levels and social media influence scores. Our analysis gave a good explanation of the phenomenon of “top across-domain influencers”. In addition, different expertise levels showed influence variation patterns: e.g., (1) high-expertise celebrities have stronger influence on the “audience” in their expertise domains; (2) expertise seems to be more important than relevance and participation for social media influence; (3) the audiences of top expertise celebrities are more likely to forward tweets on topics outside the expertise domains from high-expertise celebrities.

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.

El impacto de la presencia online en las cuentas de Twitter de las universidades vascas y navarras

Las Universidades han tenido que adaptarse a los nuevos modelos de comunicación surgidos en la época de Internet. Dentro de estos nuevos paradigmas las redes sociales han irrumpido y Twitter se ha establecido como una de las más importantes. El objetivo de esta investigación es demostrar que existe una relación entre la presencia online de una Universidad, definida por la cantidad de información disponible en Internet, y su cuenta en Twitter. Para ello se analizó la relación entre la presencia online y los perfiles oficiales de las cinco universidades del País Vasco y Navarra. Los resultados demostraron la existencia de una correlación significativa entre la presencia online de las instituciones y el número de seguidores de sus respectivas cuentas. En segundo lugar, esta investigación se planteó si Twitter puede servir para potenciar la presencia online de una Universidad. Es por eso que se formuló una segunda hipótesis que buscaba analizar si tener varias cuentas en Twitter aumentaría la presencia online de las Universidades. Los hallazgos para esta segunda hipótesis demostraron una correlación muy significativa entre tener varios perfiles en Twitter y la presencia online de las Universidades. Así queda demostrada la importancia de la presencia online para las cuentas de Twitter y la relevancia de Twitter a la hora de potenciar la presencia online de los centros.