2021
Autores
Paulino, D; Correia, A; Barroso, J; Liberato, M; Paredes, H;
Publicação
Advances in Intelligent Systems and Computing - Trends and Applications in Information Systems and Technologies
Abstract
2020
Autores
Correia, A; Jameel, S; Schneider, D; Fonseca, B; Paredes, H;
Publicação
Proceedings of the 53rd Hawaii International Conference on System Sciences
Abstract
2020
Autores
Schneider, DS; Correia, A; Chaves, R; Pimentel, AP; Antelio, M; Lucas, EM; de Almeida, MA; Oliveira, L; de Souza, JM;
Publicação
2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020, Toronto, ON, Canada, October 11-14, 2020
Abstract
Over the past decade, online crowdsourcing has established itself as an emerging paradigm that industry and government have been using to harness the cognitive abilities of a multitude of users distributed around the world. In this context, microtask crowdsourcing has become the method of choice for addressing a wide range of diverse problems. Microtasks typically require a minimum of time and cognitive effort, but combined individual efforts have made it possible to accomplish great achievements. The goal of this paper is to contribute to the ongoing effort of understanding whether the same success that microtask crowdsourcing has achieved in other domains can be obtained in the field of social news curation. In particular, we ask whether it is possible to turn online news curation, typically a social and collaborative activity on the Web, into a model in which curatorial activities are mapped into microtasks to be performed by a crowd of online users. © 2020 IEEE.
2020
Autores
Correia, A; Jameel, S; Schneider, D; Paredes, H; Fonseca, B;
Publicação
2020 IEEE International Conference on Big Data (Big Data)
Abstract
2019
Autores
Correia, A; Jameel, S; Schneider, D; Fonseca, B; Paredes, H;
Publicação
Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019
Abstract
The structure and evolution of a scientific research community can be quantitatively assessed taking into account the interactions between scientific agents dispersed geographically. In the recent years, CSCW has stabilized as a cross-disciplinary field suffering significant changes in its core structure, and there is limited understanding about the factors influencing the nature and progress of collaborative computing research. In this paper, we measure the correlation between a set of features related to the influence of collaboration types on the number of citations as well as the geographical distribution of the accumulated contribution to the CSCW literature. Overall, our work can represent a starting point to demonstrate how the study of scientific collaboration can partly explain the variations in the number of citations, frequency of papers, and topics addressed. © 2019 IEEE.
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