<jats:p>Introduction. Anthropometry plays a crucial role in nutritional assessment, especially in clinical and research settings where lack of precision affects data reliability and patient care. However, the accuracy of these measurements is often overlooked when assessing nutritional status and health risks. This study aimed to assess the technical error of measurement (TEM) and evaluate the intra- and inter-...
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...
Bystanders are present in most bullying and cyberbullying incidents, and when they intervene in favor of the victim, they can effectively stop it. Evidence suggests that intergroup factors, such as social identification, increase bystanders’ helping intentions in bullying episodes. However, relatively little is known about the potential positive effects of intergroup factors on bystanders’ attitudes and behavio...
Collective narcissism’s links with intergroup relations, such as intergroup hostility, are well established, but less is known about the intergroup conditions that trigger it. We experimentally examined whether categorisation threat—operationalised as mistaking the ingroup for a historically rivalrous outgroup, thus undermining the ingroup’s uniqueness—heightens collective narcissism, and whether this, in turn,...
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...
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 ...
Bystanders’ helping behaviors are essential to mitigate bullying and its consequences, although bystanders do not always intervene on behalf of those who are victimized. One study (N = 170) tested, experimentally, the impact of different forms of common identities (one-group and dual-identity vs. control) on youth (aged between 12 and 19 years) bystanders’ helping behavioral intentions in the context of a commo...
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...
Local contestation to the deployment of large-scale renewable energy infrastructures has been increasing. Right-wing populism has also been on the rise across the world. This article aims to explore the potential relations between these two socio-political issues, by analyzing Portuguese media discourses on the renewable energy transition and if and how those expose associations with right-wing populist rhetori...
Emojis can express emotions and some aspects of the sender’s identity; however, only limited research has explored how the choice of skin tone in emojis influences the perceptions of the users. We examined the interaction between emoji skin tones and profile pictures in instant messaging, using self-reported and eye tracking measures. White participants viewed 14 screenshots of conversations (9 target and 5 fil...