Death Narratives, Negative Emotion, and Counterarguing: Testing Fear, Anger, and Sadness as Mechanisms of Effect

Does Pollyanna hypothesis hold true in death narratives? A sentiment analysis approach

Pollyanna hypothesis claims that human beings have a universal tendency to use positive words more frequently and broadly than negative words. The present study aims to test Pollyanna hypothesis in medical death narratives at both lexical and text levels by using sentiment analysis and emotion detection methods, and to qualitatively analyze the contextual use of emotion words to deepen the understanding of doctors' emotions. Sentiment analysis showed a strong token-based linguistic positivity and a weak type-based negativity bias at the lexical level, and a general positivity bias at the text level, despite the gender of the doctors. Emotion detection discovered three prominent emotions of "joy", "sadness", and "anger", and a greater diversity of negative emotions in contrast to positive emotions in medical death narratives. Contextual analysis revealed that emotion words associated with joy were primarily observed in contexts related to doctors' actions and behaviors aiming to benefit others and promote social wellbeing. Emotion words associated with sadness and anger were chiefly employed to describe situations involving patients' death and doctors' attitudes towards death. The results confirm Pollyanna hypothesis at both token-based lexical level and text level and falsify the hypothesis at type-based lexical level. Possible explanations are explored by contextual analysis, and theoretical analysis from the perspectives of cognitive linguistics and social psychology. The findings are expected to enrich the understanding of Pollyanna hypothesis as well as the junior doctors' emotional responses to clinical deaths.

The EEG microstate representation of discrete emotions

Understanding how human emotions are represented in our brain is a central question in the field of affective neuroscience. While previous studies have mainly adopted a modular and static perspective on the neural representation of emotions, emerging research suggests that emotions may rely on a distributed and dynamic representation. The present study aimed to explore the EEG microstate representations for nine discrete emotions (Anger, Disgust, Fear, Sadness, Neutral, Amusement, Inspiration, Joy and Tenderness). Seventy-eight participants were recruited to watch emotion eliciting videos with their EEGs recorded. Multivariate analysis revealed that different emotions had distinct EEG microstate features. By using the EEG microstate features in the Neutral condition as the reference, the coverage of C, duration of C and occurrence of B were found to be the top-contributing microstate features for the discrete positive and negative emotions. The emotions of Disgust, Fear and Joy were found to be most effectively represented by EEG microstate. The present study provided the first piece of evidence of EEG microstate representation for discrete emotions, highlighting a whole-brain, dynamical representation of human emotions.

Intention to Screen for Hepatitis C Among University Students: Influence of Different Communicative Scenarios

This study aimed to evaluate the influence of different narrative scenarios regarding students' intentions to undergo diagnostic screening for hepatitis C, and whether gender identification with the characters of the scenario could influence the students' intentions to undergo a medical test. A sample of 600 participants was administered three narrative scenarios with different frames (positive, negative, and ambivalent), including two gender options (male and female) for the main character of the story. A statistically significant three-way interaction between scenario, gender identification, and time resulted. There were significant simple main effects on the intention to have a diagnostic test for hepatitis C for the scenarios with the protagonist of the same gender as the participant and after the administration of the negative scenario. The use of a negative scenario with the same gender character was always more effective than the use of a positive framed scenario, even though there was a high level of knowledge regarding the disease. Personal diagnostic testing was not directly associated with knowledge regarding the infection. The findings of this study can ultimately help policymakers develop communication campaigns adapted to target populations such as college students, in order to raise awareness of the risk, promote prevention and behavioral change, and encourage medical screening.