112 documents found, page 1 of 12
Data-driven insights to reduce uncertainty from disruptive events in passenger ...
Marques, L.; Moro, S.; Ramos, P.This study investigates the predictive modeling of the impact of disruptive events on passenger railway systems, using real data from the Portuguese main operator, Comboios de Portugal. We develop models using neural networks and decision trees, using key features such as the betweenness centrality indicator, railway track, time of day, and the train service group. Conclusively, these attributes significantly p...
Consumer-controlled digital twin architecture: How blockchain technology gives ...
Pinto, F.; Ferreira da Silva, C.; Moro, S.; Aquino, P.This article presents Consumer-Controlled Digital Twin Architecture (C2DTA), a novel architecture that aims to empower consumers in the Personal Data Ecosystem (PDE). The hallmark of the architecture is the transfer of the smart device Digital Twin (DT) to the consumer domain, granting consumers de facto control over their data. This paradigm shift hinges on multiple decentralized technologies, chiefly Self-Sov...
Unpacking online hate speech in Portuguese social media: A social-psychological...
Guerra, R.; Carvalho, P.; Marques, C.; Carmona, M.; Sarroeira, R.; Batista, F.; Ribeiro, R.; Fonseca, A.; Moro, S.; Silva, C.Building on social psychology and language sciences, this research identified core social psychological, and linguistic-discursive features of online hate speech targeting racialized, migrant and LGBTI+ communities in two social media platforms in Portugal: YouTube, and Twitter/X. The research was based on the analysis of two annotated corpora comprising 24,739 YouTube comments and associated replies, and 29,75...
Tracing the evolution of digitalisation research in business and management fie...
Talafidaryani, M.; Jalali, S. M. J.; Moro, S.Research on digitalisation trends and digital topics has become one of the most prolific streams of research within the fields of business and management during the course of the past few years. The purpose of this study is to provide a general picture of the intellectual structure and the conceptual space of this research realm. To this purpose, 6067 publications related to digital topics, indexed in the busin...
Machine learning models to predict the COVID-19 reproduction rate: Combining no...
Duarte, M.; Ferreira da Silva, C.; Moro, S.Since the beginning of the COVID-19 pandemic, countries worldwide have implemented a set of Non-Pharmaceutical Interventions (NPIs) to prevent the dissemination of the pandemic. Few studies applied machine learning models to compare the use of NPIs, socioeconomic and demographic characteristics, and cultural dimensions in predicting the reproduction rate Rt. We adopted the CRoss-Industry Standard Process for Da...
Leveraging transfer learning for hate speech detection in Portuguese social med...
Ramos, G.; Batista, F.; Ribeiro, R.; Fialho, P.; Moro, S.; Fonseca, A.; Guerra, R.; Carvalho, P.; Marques, C.; Silva, C.The rapid rise of social media has brought about new ways of digital communication, along with a worrying increase in online hate speech (HS), which, in turn, has led researchers to develop several Natural Language Processing methods for its detection. Although significant strides have been made in automating HS detection, research focusing on the European Portuguese language remains scarce (as it happens in se...
A comprehensive review on automatic hate speech detection in the age of the tra...
Ramos, G.; Batista, F.; Ribeiro, R.; Fialho, P.; Moro, S.; Fonseca, A.; Guerra, R.; Carvalho, P.; Marques, C.; Silva, C.The rapid proliferation of hate speech on social media poses significant challenges to maintaining a safe and inclusive digital environment. This paper presents a comprehensive review of automatic hate speech detection methods, with a particular focus on the evolution of approaches from traditional machine learning and deep learning models to the more advanced Transformer-based architectures. We systematically ...
Restaurant containment measures and perceived service quality: Implications for...
Ribeiro, P.; Ramos, R. F.; Moro, S.Purpose: This study aims to identify the impact of restaurant pandemic mitigation measures on perceived service quality. Design/methodology/approach: A total of 15,251 reviews were collected from 300 TripAdvisor Lisbon restaurant Web pages between March 2020 and December 2021, when Covid-19 contingency measures were in place. Grounded on the online reviews, a word frequency matrix was created and used as input ...
Analyzing hate speech dynamics on Twitter/X: Insights from conversational data ...
Fonseca, A.; Pontes, C.; Moro, S.; Batista, F.; Ribeiro, R.; Guerra, R.; Carvalho, P.; Marques, C.; Silva, C.This paper investigates the pervasive issue of hate speech within Twitter/X Portuguese network conversations, offering a multifaceted analysis of its characteristics. This study utilizes a mixed-method approach, combining several methodologies of network analysis (triad census and participation shifts) over the network of interaction between users. Qualitative manual content annotation was applied to the datase...
A data-driven approach to improve online consumer subscriptions by combining da...
Fernandes, E.; Moro, S.; Cortez, P.Effective online consumer research helps companies on defining a successful strategy to increase user loyalty and shape brand engagement. Digital innovation introduced a dramatic change in businesses, particularly in the online news industry. Content consumers have a wide offer across different channels which increases the digital challenge for online news media companies to retain their readers and convert the...