'I Hope You Can Rise Again': Linguistic Variation in Online Condolences.

In the wake of tragic events such as the 'Paris Attacks of 2015', the expression of condolences through e-messages has become a common way for individuals to offer support and sympathy to those affected. However, limited research has been conducted on the linguistic aspects of condolence e-messages and how they reflect the speech act of condolence. This study aims to fill this gap by examining the syntactic and pragmatic elements present in these messages. The aim is to understand how the syntactic and pragmatic elements of these messages contribute to the expression of the communicative speech act of condolence. Condolence e-messages were identified and analyzed using an adapted version of Elwood's (2004) coding scheme. The analysis focused on common themes in the condolence sentences, revealing that some linguistic functions were overtly used to express grief. Additionally, specific words such as 'pray', 'love', and 'condolence' were frequently used in conjunction with the expressions of condolence. The findings highlight the influence of sociocultural factors in shaping the norms and variations in the production of speech acts across different cultures. Understanding these linguistic variations can contribute to effective communication and cultural sensitivity in expressing condolences.

A Community Perspective on Resilience Analytics: A Visual Analysis of Community Mood.

Social networks are ubiquitous in everyday life. Although commonly analyzed from a perspective of individual interactions, social networks can provide insights about the collective behavior of a community. It has been shown that changes in the mood of social networks can be correlated to economic trends, public demonstrations, and political reactions, among others. In this work, we study community resilience in terms of the mood variations of the community. We have developed a method to characterize the mood steady-state of online social networks and to analyze how this steady-state is affected under certain perturbations or events that affect a community. We applied this method to study community behavior for three real social network situations, with promising results.

Flashbulb memories of the Paris attacks.

Flashbulb memories are vivid autobiographical memories of the circumstances where an individual first learns about emotionally significant public events. Our paper assesses whether these memories were triggered by the attacks of Friday 13 November 2015 in Paris. Two hundred and ninety-one participants answered a web-based questionnaire that assessed their memory of the circumstances in which they first learned of the attacks. The questionnaire also assessed vividness, rehearsal, emotion, surprise and novelty. The results showed substantial and vivid recall of the context in which the participants first learned of the event. This recall was associated with fair rehearsal, negative emotional valence, surprise, and novelty. Regression analysis showed that the flashbulb recall was predicted by negative emotion. Negative emotion seems to play a key role in the formation of flashbulb memories, at least those associated with the Paris attacks.

Differences in predictive factors for post-traumatic stress disorder encompassing partial PTSD and full PTSD: a cross-sectional study among individuals exposed to the November 13, 2015 Paris attacks.

Background: When faced with a surge of physically injured individuals, especially following a traumatic event like an attack, frontline practitioners prioritize early triage. Detecting potential psychological injuries soon after such events remains challenging. Some individuals might develop post-traumatic stress disorder (PTSD) according to DSM-V criteria. Others may exhibit PTSD symptoms without meeting full diagnostic criteria, termed partial or sub-syndromal PTSD, a less-explored area in literature. This study aims to identify predictive factors for both full and partial PTSD. Method: In a cohort of victims of the 2015 Paris attacks, multinomial logistic regressions explored predictive factors for partial or full PTSD status 8 to 18 months post-attacks. Analyses considered pre, peri, and posttraumatic factors chosen from literature review and univariate analysis within each group. Results: Within the cohort, 50 individuals showed no signs of PTSD, 35 experienced partial PTSD, and 30 presented with full PTSD. After logistic regression, risk factors associated with full PTSD included a history of trauma (OR = 1.30, CI [1.02-1.66], p < 0.05), the intensity of peri-traumatic physical reactions (OR = 1.22, CI [1.09-1.36], p < 0.001), the difficulties in suppressing intrusive thoughts (OR = 1.11, CI [1.02-1.21], p < 0.013). Only the intensity of peri-traumatic physical reactions emerged as a risk factor for partial PTSD (OR = 1.13, [CI 1.02-1.24], p < 0.001). Discussion: This study revealed that a history of trauma, the intensity of peri-traumatic physical reactions (e.g., tachycardia, trembling, flushes, numbness.), and the difficulties in suppressing intrusive thoughts constitute risk factors for the development of full PTSD. Moreover, the study identified that only the intensity of peri-traumatic physical reactions emerged as a risk factor for partial PTSD. These findings seem to underscore the significance of peri-traumatic experiences in influencing the development of post-traumatic stress symptoms. Conclusion: This study emphasizes the significance of examining peri-traumatic reactions in PTSD development, suggesting its potential as a straightforward screening tool for post-traumatic stress disorder. It also underscores the influence of prior traumatic experiences, before de novo traumatization, in shaping vulnerability to PTSD and illuminates the crucial role of compromised control of intrusive thoughts that could perpetuate PTSD.