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Sobre
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Sobre

Carla Teixeira Lopes é, atualmente, professora auxiliar no Departamento de Engenharia Informática da Faculdade de Engenharia da Universidade do Porto e investigadora sénior no INESC TEC. É doutorada (2013) em Engenharia Informática pela Faculdade de Engenharia da Universidade do Porto. Tem experiência de investigação e coordenação de trabalhos nas áreas de recuperação de informação, sistemas de gestão de dados, interação pessoa-computador, World Wide Web e análise de dados. A sua investigação atual está relacionada com recuperação de informação em saúde, com especial enfoque no desenvolvimento de ferramentas que apoiem os consumidores de saúde. 

 

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Carla Lopes
  • Cluster

    Informática
  • Cargo

    Investigador Sénior
  • Desde

    01 maio 2014
004
Publicações

2021

Assessing the quality of health-related Wikipedia articles with generic and specific metrics

Autores
Couto, L; Lopes, CT;

Publicação
WEB CONFERENCE 2021: COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2021)

Abstract

2021

How Can an Archive Be Characterized?

Autores
Araújo, MF; Lopes, CT;

Publicação
Linking Theory and Practice of Digital Libraries - 25th International Conference on Theory and Practice of Digital Libraries, TPDL 2021, Virtual Event, September 13-17, 2021, Proceedings

Abstract
Archives are evolving. Analog archives are becoming increasingly digitized and linked with other cultural heritage institutions and information sources. Diverse forms of born-digital archives are appearing. This diversity asks for systematic ways to characterize existing archives managing physical or digital records. We conducted a systematic review to identify and understand how archives are characterized. From the 885 identified articles, only 15 were focused on archives’ characterization and, therefore, included in the study. We found several characterization features organized in three main groups: archival materials, provided services, and internal processes. © 2021, Springer Nature Switzerland AG.

2021

Equal opportunities in the access to quality online health information? A multi-lingual study on Wikipedia

Autores
Couto, L; Lopes, CT;

Publicação
PROCEEDINGS OF THE 17TH INTERNATIONAL SYMPOSIUM ON OPEN COLLABORATION (OPENSYM)

Abstract
Wikipedia is a free, multilingual, and collaborative online encyclopedia. Nowadays, it is one of the largest sources of online knowledge, often appearing at the top of the results of the major search engines, being one of the most sought-after resources by the public searching for health information. The collaborative nature of Wikipedia raises security concerns since this information is used for decision-making, especially in the health area. Despite being available in hundreds of idioms, there are asymmetries between idioms, namely regarding their quality. In this work, we compare the quality of health information on Wikipedia between idioms with 100 million native speakers or more, and also in Greek, Italian, Korean, Turkish, Persian, Catalan and Hebrew, for historical tradition. Quality metrics are applied to health and medical articles in English, maintained by WikiProject Medicine, and their versions in the above idioms. With this, we contribute to a clarification of the role of Wikipedia in the access to health information. We demonstrate differences in both the quantity and quality of information available between idioms. English is the idiom with the highest quality in general. Urdu, Greek, Indonesian, and Hindi achieved lower values of quality. © 2021 ACM.

2021

Report on the 1st linked archives international workshop (LinkedArchives 2021) at TPDL 2021

Autores
Lopes, CT; Ribeiro, C; Niccolucci, F; Rodrigues, IP; Antunes Freire, NM;

Publicação
SIGIR Forum

Abstract

2020

Studying How Health Literacy Influences Attention during Online Information Seeking

Autores
Lopes, CT; Ramos, E;

Publicação
CHIIR'20: PROCEEDINGS OF THE 2020 CONFERENCE ON HUMAN INFORMATION INTERACTION AND RETRIEVAL

Abstract
Health literacy affects how people understand health information and, therefore, should be considered by search engines in health searches. In this work, we analyze how the level of health literacy is related to the eye movements of users searching the web for health information. We performed a user study with 30 participants that were asked to search online in the context of three work task situations defined by the authors. Their eye interactions with the Search Results Page and the Result Pages were logged using an eye-tracker and later analyzed. When searching online for health information, people with adequate health literacy spend more time and have more fixations on Search Result Pages. In this type of page, they also pay more attention to the results' hyperlink and snippet and click in more results too. In Result Pages, adequate health literacy users spend more time analyzing textual content than people with lower health literacy. We found statistical differences in terms of clicks, fixations, and time spent that could be used as a starting point for further research. That we know of, this is the first work to use an eye-tracker to explore how users with different health literacy search online for health-related information. As traditional instruments are too intrusive to be used by search engines, an automatic prediction of health literacy would be very useful for this type of system. © 2020 ACM.

Teses
supervisionadas

2021

Web Search Engines - A study on the evolution of user interfaces

Autor
Bruno Edgar Évora Rebelo Oliveira

Instituição
UP-FEUP

2021

Mutability of Web Search Engines Results - Data Collection and Brief Analysis

Autor
Bruno Miguel Faustino Moreno

Instituição
UP-FEUP

2021

Generating Hardware Modules via Binary Translation of RISC-V Binaries

Autor
João Miguel Curado Conceição

Instituição
UP-FEUP

2021

Avaliação da qualidade da Wikipédia enquanto fonte de informação em saúde

Autor
Luís Pedro da Silva Couto

Instituição
UP-FEUP

2020

A utilização e produção de imagens em contexto de investigação: contribuições para boas práticas de gestão de dados em formato de imagem

Autor
Miguel Martins Fernandes

Instituição
UP-FEUP