Research Center for Psychological Science

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A comparative analysis of adolescents' emotions and emotion regulation strategies when witnessing different cyberbullying scenarios

Publication . Gomes, Sónia da Silva; Ferreira, Paula; Salgado Pereira, Nádia; Veiga Simão, Ana

The search for greater popularity and acceptance by peers increases the use of social networks that may cause cyberbullying. The high number of adolescents who observe this phenomenon may help reduce the negative impact on the victims. Emotion regulation is an important predictor of adolescents’ psychological adjustment and social competence to adopt a prosocial behavior. Bystanders of these incidents may misinterpret what they see, due to specific cyberbullying characteristics which may influence emotion regulation negatively. Studies about emotions and emotion regulations in bystanders are scarce. Therefore, this study aims to investigate the emotional reactions and emotional regulation strategies of bystanders while witnessing various cyberbullying scenarios (posting photographs, direct threats, offences to integrity, threats to share personal information), as well as to focus on different behavior, victim characteristics, aggressor traits, and spectator reactions. A convenience sample of 143 adolescents (from 12 to 17 years old) was used. Results showed that worry and sadness were the most expressed emotions in all sce narios (mainly for girls) and posting a photograph was considered more concerning for girls and boys both. To regulate emotions, participants used distraction (especially seven graders) and rumination strategies. Nonetheless, when posting a photo without permission, they all adopted prosocial behavior (boys and girls) because they considered it more serious. Seventh graders adopted less prosocial behavior than eighth graders. In short, girls were more prosocial than boys. Boys may have more difficulty in regulating emotions properly and it may contribute to not intervening. Also, younger adolescents may have experienced less emotional maturity. Therefore, developing programs based on socio-emotional skills, which increase awareness of the seriousness of cyberbullying, can teach youth how to deal with emotions in order to regulate them effectively, thus increasing emotional maturity.

2024Journal article

Open access

Maladaptive personality traits in depressive and substance use disorders: a study with the PID‐5

Publication . Gonçalves, Bruno; Pires, Rute; Sousa Ferreira, Ana Maria; Marques, João Gama; Paulino, Marco; Henriques-Calado, Joana

Studies on the relationship between personality and depressive disorders (DD) or substance use disorders (SUD) often refer to the normal personality model and focus mainly on the "big" factors. Domain level results with the Personality Inventory for DSM-5 (PID-5) tend to be consistent with NEO-PI-R or NEO-FFI results, however facet level results in the specific characteristics of these disorders are scarce. The main objective of this study was to characterize DD and SUD's maladaptive personality traits through the PID-5. A sample of DD was compared with a sample of SUD, with a sample of other disorders, and with a community sample. A sample of the general Portuguese population (N = 693) and a heterogeneous clinical sample (N = 310) were studied. Participants responded to the PID-5 and to the Brief Symptom Inventory (BSI). Depressivity, Irresponsibility and Anhedonia were the main characteristics of DD. However, high values in Depressivity and in depressive symptomatology were present in all the clinical subsamples. Irresponsibility, Deceitfulness and Callousness were the main characteristics of SUD. The occurrence of DD, SUD or Other disorders could be predicted using multinonomial logisitic regression analysis, and PID-5 facets as independent variables. These results are in line with comorbidity data and tend to confirm the PID-5 validity.

2021Journal article

Restricted access

Moral disengagement and empathy in cyberbullying: how they are related in reflection activities about a serious game

Publication . Francisco, Sofia; Ferreira, Paula; Veiga Simão, Ana; Salgado Pereira, Nádia

Cyberbullying is a complex phenomenon with multiple factors involved, both contextual and individual factors, such as moral disengagement and empathy. This study investigated how moral disengagement and empathy could be related, longitudinally in cyberbullying events. Specifically, two gamified tasks (one for empathy and other for moral disengagement) were analyzed. These tasks were developed attending to the specificities of the cyberbullying scenarios presented in a serious game. To accomplish this goal, data from gamified tasks (N=208), from 4 different moments, were analyzed through multilevel linear modeling. Results suggested that there was a change in adolescents’ moral disengagement over time. Participants with greater empathy revealed lower moral disengagement overall. Over time, adolescents with greater empathy revealed lower moral disengagement within their own growth rate. Overall, our results provide important information about the dynamic relationship between moral disengagement, empathy and cyberbullying, which informs future studies and interventions.

2024Journal article

Open access

Predicting Physical Activity in Survivors of Breast Cancer: The Health Action Process Approach at the Intrapersonal Level

Publication . Sequeira, Margarida; Pereira, Cicero Roberto; Alvarez, Maria-João

Background Benefits have been established for regular physical activity (PA) and exercise after breast cancer, but a decline of PA has also been a reported result of breast cancer diagnosis and treatments. The Health Action Process Approach (HAPA) model has been shown to predict various health behaviors, but few studies have tested it at the intrapersonal level. The aim of the present study was to test whether the HAPA constructs that are well confirmed at the interpersonal level also hold at the intrapersonal level in a group of women survivors of breast cancer. Method PA behaviors (N=338) by nine survivors of breast cancer were observed for 6 weeks, and the associations between the HAPA constructs and PA over time were examined. Participants completed a questionnaire with the HAPA constructs related to PA behavior (direct step count and self-reported). Results A multilevel model of behavior prediction found that optimistic beliefs about ability to initiate and maintain PA (self-efficacy) were positively related to intentions to be active, and these intentions predicted plans to be active. PA was directly and positively predicted by planning and by confidence in the ability to resume PA after a break. Conclusion Self-efficacy and planning are associated with PA behavior within women survivors of breast cancer over time, which was not the case for the outcome expectancies, social support, and action control at this intrapersonal level. A multilevel approach for psychological predictors of PA can be useful in grounding interventions for survivors of breast cancer.

2022Journal article

Restricted access

Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analysis of Aggressiveness and Conflicts/Attacks Datasets from Twitter

Publication . Ferreira, Paula; Salgado Pereira, Nádia; Rosa, Hugo; Oliveira, Sofia; Coheur, Luísa; Francisco, Sofia; Souza, Sidclay B.; Ribeiro, Ricardo; Carvalho, João P.; Paulino, Paula; Trancoso, Isabel; Veiga Simão, Ana

Offense and hate speech are a source of online conflicts which have become common in social media and, as such, their study is a growing topic of research in machine learning and natural language processing. This article presents two Portuguese language offense-related datasets that deepen the study of the subject: an Aggressiveness dataset and a Conflicts/Attacks dataset. While the former is similar to other offense detection related datasets, the latter constitutes a novelty due to the use of the history of the interaction between users. Several studies were carried out to construct and analyze the data in the datasets. The first study included gathering expressions of verbal aggression witnessed by adolescents to guide data extraction for the datasets. The second study included extracting data from Twitter (in Portuguese) that matched the most frequent expressions/words/sentences that were identified in the previous study. The third study consisted in the development of the Aggressiveness dataset, the Conflicts/Attacks dataset, and classification models. In our fourth study, we proposed to examine whether online aggression and conflicts/attacks revealed any trend changes over time with a sample of 86 adolescents. With this study, we also proposed to investigate whether the amount of tweets sent over a period of 273 days was related to online aggression and conflicts/attacks. Lastly, we analyzed the percentage of participants who participated in the aggressions and/or attacks/conflicts.

2024Journal article

Open access