Fernando Batista
Biographic Data
| ID | 3700012 |
|---|---|
| NAME | Fernando Batista |
| GIVEN NAMES | Fernando |
| FAMILY NAME | Batista |
| SIGNATURE | BATISTA F |
| AFFILIATIONS | Iscte – Instituto Universitário de Lisboa |
| ORCID | 0000-0002-1075-0177 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Unpacking online hate speech in Portuguese social media: A social-psychological and linguistic-discursive approach
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 29,758 contextualized tweets retrieved fr…
From host's descriptions to guests' reviews: Semantic similarities
This study investigates the semantic alignment between Airbnb property descriptions and guest reviews. Word2Vec embeddings and affinity propagation clustering are used to identify granular semantic concepts, enabling a detailed comparison of the two text types. A new metric, concept coverage ratio, is introduced to measure the extent to which the guest review content is reflected in property descriptions. Results show that a higher concept covera…
The expression of hate speech against Afro-descendant, Roma, and LGBTQ+ communities in YouTube comments
This paper addresses the specificities of online hate speech against the Afro-descendant, Roma, and LGBTQ+ communities in Portugal. The research is based on the analysis of CO-HATE, a corpus composed of 20,590 YouTube comments, which were manually annotated following detailed guidelines created for that purpose. We applied methods from corpus linguistics to assess the prevalence of overt and covert hate speech, counter-speech, and offensive speec…
A comprehensive review on automatic hate speech detection in the age of the transformer
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 analyze over 100 studies, comparing …
Diachronic profile of startup companies through social media
Social media platforms have become powerful tools for startups, helping them find customers and raise funding. In this study, we applied a social media intelligence-based methodology to analyze startups' content and to understand how their communication strategies may differ during their scaling process. To understand if a startup's social media content reflects its current business maturation position, we first defined an adequate life cycle mod…
Ewom for public institutions: Application to the case of the Portuguese Army
Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions
A Aplicação da Teoria da Causa Madura no Âmbito do Superior Tribunal de Justiça
Diachronic profile of startup companies through social media
Social media platforms have become powerful tools for startups, helping them find customers and raise funding. In this study, we applied a social media intelligence-based methodology to analyze startups' content and to understand how their communication strategies may differ during their scaling process. To understand if a startup's social media content reflects its current business maturation position, we first defined an adequate life cycle mod…
Ewom for public institutions: Application to the case of the Portuguese Army
A Aplicação da Teoria da Causa Madura no Âmbito do Superior Tribunal de Justiça
Using geolocated tweets for characterization of Twitter in Portugal and the Portuguese administrative regions
Ewom for public institutions: Application to the case of the Portuguese Army
Diachronic profile of startup companies through social media
Social media platforms have become powerful tools for startups, helping them find customers and raise funding. In this study, we applied a social media intelligence-based methodology to analyze startups' content and to understand how their communication strategies may differ during their scaling process. To understand if a startup's social media content reflects its current business maturation position, we first defined an adequate life cycle mod…
The expression of hate speech against Afro-descendant, Roma, and LGBTQ+ communities in YouTube comments
This paper addresses the specificities of online hate speech against the Afro-descendant, Roma, and LGBTQ+ communities in Portugal. The research is based on the analysis of CO-HATE, a corpus composed of 20,590 YouTube comments, which were manually annotated following detailed guidelines created for that purpose. We applied methods from corpus linguistics to assess the prevalence of overt and covert hate speech, counter-speech, and offensive speec…
A comprehensive review on automatic hate speech detection in the age of the transformer
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 analyze over 100 studies, comparing …
Unpacking online hate speech in Portuguese social media: A social-psychological and linguistic-discursive approach
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 29,758 contextualized tweets retrieved fr…
From host's descriptions to guests' reviews: Semantic similarities
This study investigates the semantic alignment between Airbnb property descriptions and guest reviews. Word2Vec embeddings and affinity propagation clustering are used to identify granular semantic concepts, enabling a detailed comparison of the two text types. A new metric, concept coverage ratio, is introduced to measure the extent to which the guest review content is reflected in property descriptions. Results show that a higher concept covera…
Computer Science (6 works) · Digital Marketing and Social Media (4 works) · Social media (4 works) · World Wide Web (4 works) · Business (3 works) · Hate Speech and Cyberbullying Detection (3 works) · Political science (3 works) · Portuguese (3 works) · Bullying, Victimization, and Aggression (2 works) · Digital Communication and Language (2 works)