Can empathy lead to emotional exhaustion in teachers? The mediating role of emotional labor

Objectives: The present study was designed to examine the links between empathy, emotional labor (both surface and deep acting), and emotional exhaustion as well as determine if emotional labor mediates the relationship between empathy and emotional exhaustion in teachers. It was assumed that emotional labor can take two opposite directions (positive mood induction and negative mood induction). Thus, the additional aim of the study was to analyze the mediating role of mood regulation strategies in the relationship between empathy and emotional exhaustion. Materials and Methods: A sample of 168 teachers from Łódź and its surroundings completed a set of questionnaires: Emotional Labor Scale; Mood Regulation Scales, Maslach Burnout Inventory, and Empathic Sensitivity Scale. Results: The results provided mixed support for the hypotheses indicating that both types of emotional labor, negative mood induction and emotional exhaustion were positively intercorrelated. Moreover, deep acting was a significant mediator in the relationship between empathy and emotional exhaustion. The analyzed link was also mediated by negative mood induction, whereas positive mood induction did not emerge as a significant mediator. Conclusions: The study provided insight into the role of empathy and emotional labor in the development of teacher burnout. It also confirmed that deep acting and negative mood induction mediate the relationship between empathy and emotional exhaustion in teachers

Mapping Developmental Precursors of Cyber-Aggression: Trajectories of Risk Predict Perpetration and Victimization

Technologically mediated contexts are social arenas in which adolescents can be both perpetrators and victims of aggression. Yet, there remains little understanding of the developmental etiology of cyber aggression, itself, as experienced by either perpetrators or victims. The current study examines 3-year latent within-person trajectories of known correlates of cyber-aggression: problem behavior, (low) self-esteem, and depressed mood, in a large and diverse sample of youth (N = 1,364; 54.6 % female; 12–14 years old at T1). Findings demonstrate that developmental increases in problem behavior across grades 8–10 predict both cyber-perpetration and victimization in grade 11. Developmental decreases in self-esteem also predicted both grade 11 perpetration and victimization. Finally, early depressed mood predicted both perpetration and victimization later on, regardless of developmental change in depressed mood in the interim. Our results reveal a clear link between risky developmental trajectories across the early high school years and later cyber-aggression and imply that mitigating trajectories of risk early on may lead to decreases in cyber-aggression at a later date

DaP∀ : Deconstruct and preserve for all: a procedure for the preservation of digital evidence on solid state drives and traditional storage media

Human error is often a cause of contamination of potential digital evidence and can jeopardise an entire case. One of the biggest problems is the data acquisition stage that requires the Digital Forensic Analyst to make bit-for-bit copies of the device seized. This procedure, despite using write-blockers, can go wrong. The proposed Deconstruct and Preserve for all (DaP∀) aims at mitigating the risk involved in exposing any data to these procedures and ensures that third parties get an exact match; the process works on SSDs, GPT formatted devices, and other traditional formats, e.g. HDD. The results show a GPT TRIM enabled SSD imaged multiple times produces verification of matched hashes. With these results, it is proposed that DaP∀ should be considered as a Standard Operating Procedure (SOP) when completing data acquisition