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Sobre

Sobre

Sou Doutorando em Informática pela Universidade Federal do Estado do Rio de Janeiro (UNIRIO) com período mobilidade em Engenharia da Computação na Faculdade de Engenharia da Universidade do Porto (FEUP) em Portugal. Possuo graduação em Informática pelo Centro Universitário Celso Lisboa (2010) e Mestrado em Informática pela Universidade Federal do Estado do Rio de Janeiro (2015). Tenho experiência na área de Ciência da Computação, com ênfase em Informática e Banco de Dados Relacionais, atuando principalmente nos seguintes temas: Auditabilidade e Transparência de Informação, Requisitos Não-Funcionais de Software (NFR), Interação Humano Computador (IHC), Engenharia Social, Literacia e Hermenêutica Digital, Jornalismo Participativo na Internet, Propagação de Desinformação e Boatos na Internet e APIs de Redes Sociais.

Como pesquisador no INESCTEC trabalho com modelagem de banco de dados desde abordagem ontológica e semântica do domínio até a fase de produção (go live). Desenvolvimento de API RESTful para consumo de aplicações móveis e IoT, controle de mensagens e notificações push via Google FCM @ Biomedical Research And INnovation (BRAIN) - CBER.

Tópicos
de interesse
Detalhes

Detalhes

Publicações

2018

Measuring the accuracy and learnability of tools in the struggle against misinformation in social media applications

Autores
Pinheiro, A; Aguiar, A; Cappelli, C; Maciel, C;

Publicação
Iberian Conference on Information Systems and Technologies, CISTI

Abstract
Misinformation became pervasive on social media applications. The companies behind this kind of system have launched tools to avoid the problem, but some issues regarding the user behavior and proper software quality still need a forceful approach. First attempts to mitigate misinformation did not take into account user behavior and softwares requirements like learnability and accuracy, furthermore the characteristics of actors and artifacts from social media applications ecosystem has not been explored. This research aims to evaluate the usability of available tools made to combat the spread of misinformation and to verify the interrelationship between actors and artifacts from social media applications ecosystem for suggesting improvements on development of these tools. © 2018 AISTI.

2017

Designing Auditability in Social Networks to Prevent the Spread of False Information

Autores
Pinheiro, A; Cappelli, C; Maciel, C;

Publicação
IEEE Latin America Transactions

Abstract

2017

Building up a verified page on facebook using information transparency guidelines

Autores
Pinheiro, A; Cappelli, C; Maciel, C;

Publicação
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
Online credibility is a quality pursued by users, business and brands on Internet. Having a verified page on Facebook means improvement of the social web presence, reliability and reinforcement of security against impersonations of identity, unwanted fake pages and spams. Since the Facebook’s page verification request has become more complex and the requirements to receive a verified page badge are uncertain, this paper describes the use of foundations of transparency on information systems to fulfill the data on the forms of the application for verification to improve the success in receiving the verified page status. © Springer International Publishing AG 2017.

2016

Adoption of auditability as a proposal to identify false information on social networks [Adoção da auditabilidade como proposta para identificar informações falsas em redes sociais]

Autores
Pinheiro, A; Cappelli, C; MacIel, C;

Publicação
CEUR Workshop Proceedings

Abstract
The lack of mechanisms made to check reliability of information on social networks is evidenced by the spread of misinformation and rumors in this kind of system. Given this scenario, the provision of tools to assist users with information auditability on social networks needs an emergencial approach. This article describes a catalog, followed by a guide of features that provide auditability on social networks. The guide contains guidelines for development of funcionalities in order to promote the adoption of auditability and enable users to identify false information and validate content on social networks. © 2016 for this paper by its authors.

2016

Checking information reliability in social networks regarding user behavior and developers’ effort to avoid misinformation

Autores
Pinheiro, A; Cappelli, C; Maciel, C;

Publicação
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
The increasing number of users and data generated is leading the Social Networks to a scenario where the information cannot be verified. Social networks developers have faced problems about unreliable information sharing and availability of content intentionally prepared to confuse or mislead users. This paper presents a solution to add audit capacity in social networks. It is based on a catalog that organizes characteristics and operationalizations which support auditability of information in social networks and a guide that can help developers to build software that allow evaluation of information reliability. © Springer International Publishing Switzerland 2016.