Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
About

About

I'm a brazilian PhD student of Informatics from Universidade Federal do Estado do Rio de Janeiro (UNIRIO) with a mobility period in Computer Engineering at the Faculdade de Engenharia da Universidade do Porto (FEUP) in Portugal. I have a Bachelor degree in Informatics from Centro Universitário Celso Lisboa (Rio de Janeiro, Brazil) and a Master degree in Informatics from Universidade Federal do Estado do Rio de Janeiro (UNIRIO).

As a researcher at INESCTEC, I'm working with Database modeling from ontological/semantics approach to the production level and the development of RESTful API for communication with mobile devices and IoT, control of messages and push notifications using Google FCM @ Biomedical Research And INnovation (BRAIN) - CBER.

Interest
Topics
Details

Details

Publications

2018

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

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

Publication
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

Authors
Pinheiro, A; Cappelli, C; Maciel, C;

Publication
IEEE Latin America Transactions

Abstract

2017

Building up a verified page on facebook using information transparency guidelines

Authors
Pinheiro, A; Cappelli, C; Maciel, C;

Publication
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]

Authors
Pinheiro, A; Cappelli, C; MacIel, C;

Publication
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

Authors
Pinheiro, A; Cappelli, C; Maciel, C;

Publication
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.