Álvaro Figueira
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View article: Emotional Sequencing as a Marker of Manipulation in Social Media Disinformation
Emotional Sequencing as a Marker of Manipulation in Social Media Disinformation Open
The proliferation of disinformation on social media platforms poses a significant challenge to the reliability of online information ecosystems and the protection of public discourse. This study investigates the role of emotional sequences…
View article: Development and Performance Evaluation of an Adapted QuEChERS-Gas Chromatography–Mass Spectrometry Method for the Analysis of Cocaine in Surface Water Samples
Development and Performance Evaluation of an Adapted QuEChERS-Gas Chromatography–Mass Spectrometry Method for the Analysis of Cocaine in Surface Water Samples Open
The consumption of illicit psychoactive substances, such as cocaine, poses significant public health and socioeconomic challenges due to its widespread use and impact on the central nervous system. This study aimed to develop and validate …
View article: Incremental Repair Feedback on Automated Assessment of Programming Assignments
Incremental Repair Feedback on Automated Assessment of Programming Assignments Open
Automated assessment tools for programming assignments have become increasingly popular in computing education. These tools offer a cost-effective and highly available way to provide timely and consistent feedback to students. However, whe…
View article: Post, Predict, and Rank: Exploring the Relationship Between Social Media Strategy and Higher Education Institution Rankings
Post, Predict, and Rank: Exploring the Relationship Between Social Media Strategy and Higher Education Institution Rankings Open
In today’s competitive higher education sector, institutions increasingly rely on international rankings to secure financial resources, attract top-tier talent, and elevate their global reputation. Simultaneously, these universities have e…
View article: Rethinking negative sampling in content-based news recommendation
Rethinking negative sampling in content-based news recommendation Open
News recommender systems are hindered by the brief lifespan of articles, as they undergo rapid relevance decay. Recent studies have demonstrated the potential of content-based neural techniques in tackling this problem. However, these mode…
View article: Clustering source code from automated assessment of programming assignments
Clustering source code from automated assessment of programming assignments Open
Clustering of source code is a technique that can help improve feedback in automated program assessment. Grouping code submissions that contain similar mistakes can, for instance, facilitate the identification of students’ difficulties to …
View article: GANs in the Panorama of Synthetic Data Generation Methods
GANs in the Panorama of Synthetic Data Generation Methods Open
This article focuses on the creation and evaluation of synthetic data to address the challenges of imbalanced datasets in machine learning (ML) applications, using fake news detection as a case study. We conducted a thorough literature rev…
View article: Topic Extraction: BERTopic’s Insight into the 117th Congress’s Twitterverse
Topic Extraction: BERTopic’s Insight into the 117th Congress’s Twitterverse Open
As social media (SM) becomes increasingly prevalent, its impact on society is expected to grow accordingly. While SM has brought positive transformations, it has also amplified pre-existing issues such as misinformation, echo chambers, man…
View article: Comparing semantic graph representations of source code: The case of automatic feedback on programming assignments
Comparing semantic graph representations of source code: The case of automatic feedback on programming assignments Open
Static source code analysis techniques are gaining relevance in automated assessment of programming assignments as they can provide less rigorous evaluation and more comprehensive and formative feedback. These techniques focus on source co…
View article: On the Quality of Synthetic Generated Tabular Data
On the Quality of Synthetic Generated Tabular Data Open
Class imbalance is a common issue while developing classification models. In order to tackle this problem, synthetic data have recently been developed to enhance the minority class. These artificially generated samples aim to bolster the r…
View article: Bibliometric Analysis of Automated Assessment in Programming Education: A Deeper Insight into Feedback
Bibliometric Analysis of Automated Assessment in Programming Education: A Deeper Insight into Feedback Open
Learning to program requires diligent practice and creates room for discovery, trial and error, debugging, and concept mapping. Learners must walk this long road themselves, supported by appropriate and timely feedback. Providing such feed…
View article: PROGpedia: Collection of source-code submitted to introductory programming assignments
PROGpedia: Collection of source-code submitted to introductory programming assignments Open
View article: A WebApp for Reliability Detection in Social Media
A WebApp for Reliability Detection in Social Media Open
In recent years, social media disinformation had a significant impact on real-world events. Consequently, to fight disinformation, a large number of fake news detection models have been proposed. However, the theory behind these models has…
View article: PROGpedia
PROGpedia Open
This dataset consists of the submissions to 16 programming exercises in Mooshak proposed in multiple years within the 2003-2020 timespan to undergraduate Computer Science students at the Faculty of Sciences from the University of Porto. In…
View article: PROGpedia
PROGpedia Open
This dataset consists of the submissions to 16 programming exercises in Mooshak proposed in multiple years within the 2003-2020 timespan to undergraduate Computer Science students at the Faculty of Sciences from the University of Porto. In…
View article: PROGpedia
PROGpedia Open
This dataset consists of the submissions to 16 programming exercises in Mooshak proposed in multiple years within the 2003-2020 timespan to undergraduate Computer Science students at the Faculty of Sciences from the University of Porto. In…
View article: Survey on Synthetic Data Generation, Evaluation Methods and GANs
Survey on Synthetic Data Generation, Evaluation Methods and GANs Open
Synthetic data consists of artificially generated data. When data are scarce, or of poor quality, synthetic data can be used, for example, to improve the performance of machine learning models. Generative adversarial networks (GANs) are a …
View article: Do Top Higher Education Institutions’ Social Media Communication Differ Depending on Their Rank?
Do Top Higher Education Institutions’ Social Media Communication Differ Depending on Their Rank? Open
View article: Can Fake News Detection Models Maintain the Performance through Time? A Longitudinal Evaluation of Twitter Publications
Can Fake News Detection Models Maintain the Performance through Time? A Longitudinal Evaluation of Twitter Publications Open
The negative impact of false information on social networks is rapidly growing. Current research on the topic focused on the detection of fake news in a particular context or event (such as elections) or using data from a short period of t…
View article: An organized review of key factors for fake news detection
An organized review of key factors for fake news detection Open
Fake news in social media has quickly become one of the most discussed topics in today's society. With false information proliferating and causing a significant impact in the political, economical, and social domains, research efforts to a…
View article: A Brief Overview on the Strategiesto Fight Back the Spreadof False Information
A Brief Overview on the Strategiesto Fight Back the Spreadof False Information Open
The proliferation of false information on social networks is one of the hardest challenges in today's society, with implications capable of changing users perception on what is a fact or rumor.Due to its complexity, there has been an overw…
View article: A Brief Overview on the Strategies to Fight Back the Spread of False Information
A Brief Overview on the Strategies to Fight Back the Spread of False Information Open
The proliferation of false information on social networks is one of the hardest challenges in today’s society, with implications capable of changing users perception on what is a fact or rumor. Due to its complexity, there has been an over…
View article: A System to Automatically Predict Relevance in Social Media
A System to Automatically Predict Relevance in Social Media Open
The rise of online social networks has reshaped the way information is published and spread. Users can now post in an effortless way and in any location, making this medium ideal for searching breaking news and journalistic relevant conten…
View article: Preventing Failures by Predicting Students’ Grades through an Analysis of Logged Data of Online Interactions
Preventing Failures by Predicting Students’ Grades through an Analysis of Logged Data of Online Interactions Open
Nowadays, students commonly use and are assessed through an online platform. New pedagogy theories that promote the active participation of students in the learning process, and the systematic use of problem-based learning, are being adopt…
View article: Clustering and classifying text documents a revisit to tagging integration methods
Clustering and classifying text documents a revisit to tagging integration methods Open
In this paper we analyze and discuss two methods that are based on the traditional k-means for document clustering and that feature integration of social tags in the process. The first one allows the integration of tags directly into a Vec…
View article: Current State of the Art to Detect Fake News in Social Media: Global Trendings and Next Challenges
Current State of the Art to Detect Fake News in Social Media: Global Trendings and Next Challenges Open
View article: Uncovering Social Media Content Strategies for Worldwide Top-Ranked Universities
Uncovering Social Media Content Strategies for Worldwide Top-Ranked Universities Open
As organizations are entering social media, determining their current strategy will allow to combine monitoring and benchmarking methods to foster the identification of opportunities and threats, which can serve as inputs for the evaluatio…
View article: Contributions to the Detection of Unreliable Twitter Accounts through Analysis of Content and Behaviour
Contributions to the Detection of Unreliable Twitter Accounts through Analysis of Content and Behaviour Open
View article: Mining Moodle Logs for Grade Prediction
Mining Moodle Logs for Grade Prediction Open
Research concerning mining data from learning management systems have been consistently been appearing in the literature. However, in many situations there is not a clear path on the data mining procedures that lead to solid conclusions. T…
View article: A System for Visualization and Analysis of Online Pedagogical Interactions
A System for Visualization and Analysis of Online Pedagogical Interactions Open
We present a system for a dynamic graphical representation of the interactions captured in educational online environments. The system goes beyond interaction between students and teachers, also addressing resource usage or any other entit…