Proposta de uma aplicação Web para monitorização do impacto de notícias nas redes sociais Facebook e Twitter

Este artigo resume os principais resultados de uma investigação que teve por objetivo a conceção, prototipagem e validação de uma aplicação web destinada a monitorizar o impacto de um conteúdo publicado nas redes sociais (Facebook e Twitter). A investigação foi aplicada ao caso concreto do Jornal Online da Universidade de Aveiro, com o objetivo de contribuir para fundamentar a tomada de decisão relativa à gestão (manutenção e/ou destaque) de notícias por parte dos gestores do referido jornal.This paper summarizes the main results of a research project which main goal was the design, development and evaluation of a web application for monitoring the buzz of news and other contents published in social networks (Facebook and Twitter) by the online news portal of the University of Aveiro. With this application a wiser decision making process can be achieved on the management of the publishing cycle of the news portal

Social User Mining: User Profiling of Social Media Network Based on Multimedia Data Mining

In recent years, the pervasive use of social media has generated extraordinary amounts of data that has started to gain an increasing amount of attention. Each social media source utilizes different data types such as textual and visual. For example, Twitter is used to transmit short text messages, whereas Flickr is used to convey images and videos. Moreover, Facebook uses all of these data types. From the social media users’ standpoint, it is highly desirable to find patterns from different data formats. The result of the huge amount of data from different sources or types has provided many opportunities for researchers in the fields of data mining and data analytics. Not only the methods and tools to organize and manage such data have become extremely important, but also methods and tools to discover hidden knowledge from such data, which can be used for a variety of applications. For example, the mining of a user's profile on social media could help to discover any missing information, including the user's location or gender information. However, the task of developing such methods and tools is very challenging. Social media data is unstructured and different from traditional data because of its privacy settings, data noise, and large capacity of data. Moreover, combining image features and text information annotated by users reveals interesting properties of social user mining, and serves as a useful tool for discovering unknown information about the users. Minimal research has been conducted on the combination of image and text data for social user mining. To address these challenges and to discover unknown information about users, we proposed a novel mining framework for social user mining that includes: 1) a data assemble module for different media source, 2) a data integration module, and 3) mining applications. First, we introduced a data assemble module in order to process both the textual and the visual information from different media sources, and evaluated the appropriate multimedia features for social user mining. Then, we proposed a new data integration method in order to integrate the textual and the visual data. Unlike the previous approaches that used a content based approach to merge multiple types of features, our main approach is based on image semantics through a semi-automatic image tagging system. Lastly, we presented two different application as an example of social user mining, gender classification and user location

Monitorização do impacto de notícias nas redes sociais : proposta, implementação e validação de uma aplicação

Mestrado em Comunicação MultimédiaEsta dissertação apresenta e descreve os resultados bem como todo o processo de desenvolvimento de uma investigação que tem por objetivo a conceção, prototipagem e validação de uma aplicação web destinada a monitorizar o impacto de um conteúdo publicado nas redes sociais (Facebook e Twitter). A investigação foi aplicada ao caso concreto do Jornal Online da Universidade de Aveiro, com o objetivo de fundamentar a tomada de decisão relativa à gestão (manutenção e/ou destaque) das notícias por parte dos gestores do referido jornal. Os resultados encontrados mostram as características que uma aplicação de monitorização do impacto de um conteúdo publicado nas redes sociais deve ter, centradas especificamente ao caso já referido, bem como a aceitação e validação por parte de um potencial público-alvo. Foram apontados assim alguns contributos para um modelo para gestão de notícias do Jornal Online da UA e para a adequação da ação de manutenção desempenhada pelos respetivos gestores.This paper presents and describes the results and the whole process of developing a research that aims to design, prototype and validate a web application designed to monitor the impact of content posted on social networks (Facebook and Twitter). The research was applied to the case of the Online Journal of University of Aveiro, in order to support decision making on the management (maintenance and / or highlight) of the news by managers of the Journal. The results show the characteristics that an application to monitor the impact of content posted on social networks should have, centered specifically to the case cited above, as well as acceptance and validation by a potential audience. Were appointed a few contributions to a model for the management of news of Online Journal of UA and the adequacy of the maintenance action performed by their managers

IDEAS-1997-2021-Final-Programs

This document records the final program for each of the 26 meetings of the International Database and Engineering Application Symposium from 1997 through 2021. These meetings were organized in various locations on three continents. Most of the papers published during these years are in the digital libraries of IEEE(1997-2007) or ACM(2008-2021)