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2121 ◽  
Vol 7 (1) ◽  
pp. 65-74
Author(s):  
Tahmineh Kamalian ◽  
◽  
Hassan Mirzahosseini ◽  
Nader Monirpoor ◽  
◽  
...  

Background: Emotional Divorce (ED) is associated with decreased levels of Emotion Regulation (ER), adaptation, and mental health; subsequently, all such pressures raise stress in various dimensions among the affected individuals. Emotional Schema Therapy (EST), as a socio-cognitive model of ER, may improve marital intimacy and reduce couples’ psychological distress. The present study aimed to investigate the effects of EST and differentiation training on the odds of ED among women. Methods: The mean values of ED significantly decreased in both experimental groups, compared to the control group (P<0.05). A significant difference was also observed between the effects of the two interventions on decreasing the ED rate; thus, the effectiveness of EST was greater than that of differentiation training in this respect (P<0.05). Results: The mean values of ED significantly decreased in both experimental groups, compared to the control group (P<0.05). A significant difference was also observed between the effects of the two interventions on decreasing the ED rate; thus, the effectiveness of EST was greater than that of differentiation training in this respect (P<0.05). Conclusion: EST and differentiation training reduced ED among the study participants. These approaches can be adopted as an effective intervention to solve the couples’ problems and improve their marital relationship to reduce the odds of emotional divorce.


2022 ◽  
Vol 8 (1) ◽  
pp. 59-78
Author(s):  
Ayo Osisanwo

Existing studies on viruses with bias for COVID-19 have mainly been carried out from non-linguistic fields. Linguistics-related studies have not examined the media representation of COVID-19 since it is a recent development. This study, therefore, identifies the representational strategies, discourse structures and discourse strategies deployed by selected newspapers in representing COVID-19 and associated participants. Data were retrieved from selected COVID-19-related editorials from four purposively selected countries and continents across the world: New York Times (USA, North America), The Guardian (UK, Europe), China Daily (China, Asia) and The Punch (Nigeria, Africa), published in the early periods of the pandemic, and precisely from January 1 – March 31, 2020. Guided by aspects of van Dijk’s socio-cognitive model of critical discourse analysis on ideological discourse structures, data were quantitatively and qualitatively analysed. The newspaper editorials unusually converged to negatively represent an issue – COVID-19 – because it is largely negatively viewed by all. Ten representational strategies (like economic cankerworm, threat to humans, common enemy), six discourse strategies (like demonising, criminalising, condemnation) and twelve ideological discourse structures (like Actor Description, Authority, Burden) and different participant representations and roles (like solver, potential super spreader) were identified in the study. The newspapers largely set the agenda on the negative representation of the virus and its potential havoc on all facets of human endeavours, thereby giving emotional and informational appeal to all to join hands in earnestly silencing the epidemic. Keywords: COVID-19, media representation, newspaper editorials, discourse strategies, discourse structures


Author(s):  
Qipeng Shi

AbstractThe basis of a methodology determines whether a research method can fit the core characteristics of a particular academic tradition, and thus, it is crucial to explore this foundation. Keeping in mind the controversy and progress of the philosophy of social sciences, this paper aims to elaborate on four aspects including the cognitive model, the view of causality, research methods, and analysis techniques, and to establish a more solid methodological basis for historical political science. With respect to the “upstream knowledge” of methodology, both positivism and critical realism underestimate the tremendous difference between the natural world and the social world. This leads to inherent flaws in controlled comparison and causal mechanism analysis. Given the constructiveness of social categories and the complexity of historical circumstances, the cognitive model of constructivism makes it more suitable for researchers to engage in macro-political and social analysis. From the perspective of constructivism, the causality in “storytelling,” i.e., the traditional narrative analysis, is placed as the basis of the regularity theory of causality in this paper, thus forming the historical–causal narrative. The historical–causal narrative focuses on how a research object is shaped and self-shaped in the ontological historical process, and thus ideally suits the disciplinary characteristics of historical political science. Researchers can complete theoretical dialogues, test hypotheses, and further explore the law of causality in logic and evidence, thereby achieving the purpose of “learning from history” in historical political science.


PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0261811
Author(s):  
Nicholas Rabb ◽  
Lenore Cowen ◽  
Jan P. de Ruiter ◽  
Matthias Scheutz

Understanding the spread of false or dangerous beliefs—often called misinformation or disinformation—through a population has never seemed so urgent. Network science researchers have often taken a page from epidemiologists, and modeled the spread of false beliefs as similar to how a disease spreads through a social network. However, absent from those disease-inspired models is an internal model of an individual’s set of current beliefs, where cognitive science has increasingly documented how the interaction between mental models and incoming messages seems to be crucially important for their adoption or rejection. Some computational social science modelers analyze agent-based models where individuals do have simulated cognition, but they often lack the strengths of network science, namely in empirically-driven network structures. We introduce a cognitive cascade model that combines a network science belief cascade approach with an internal cognitive model of the individual agents as in opinion diffusion models as a public opinion diffusion (POD) model, adding media institutions as agents which begin opinion cascades. We show that the model, even with a very simplistic belief function to capture cognitive effects cited in disinformation study (dissonance and exposure), adds expressive power over existing cascade models. We conduct an analysis of the cognitive cascade model with our simple cognitive function across various graph topologies and institutional messaging patterns. We argue from our results that population-level aggregate outcomes of the model qualitatively match what has been reported in COVID-related public opinion polls, and that the model dynamics lend insights as to how to address the spread of problematic beliefs. The overall model sets up a framework with which social science misinformation researchers and computational opinion diffusion modelers can join forces to understand, and hopefully learn how to best counter, the spread of disinformation and “alternative facts.”


Author(s):  
Jenny Marcionetti ◽  
Luciana Castelli

AbstractThe purpose of the study was to test a model of factors predicting teachers’ job and life satisfaction, burnout, dispositional optimism, social support, perceived workload, and self-efficacy. The model extends Lent and Brown’s (J Voc Behav 69(2):236–247, 10.1016/j.jvb.2006.02.006, 2006; J Career Assess 16(1):6–21, 10.1177/1069072707305769, 2008) social cognitive model of the interaction of sources of job and life satisfaction. Specifically, burnout, a condition with a high incidence rate among teachers, was included. The participants were 676 Swiss teachers. Structural equation modeling was used to analyze the data. The results revealed the differential effect of the variables considered on teachers' burnout and job satisfaction, as well as their life satisfaction. Dispositional optimism, social support, and perceived workload might reduce the risk of teacher burnout; dispositional optimism, social support, and teacher self-efficacy seem to positively affect job satisfaction; and dispositional optimism alone, together with burnout and job satisfaction, directly relates to teachers’ life satisfaction. Practical implications of these results are discussed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huimin Hu ◽  
Xiaopeng Deng ◽  
Amin Mahmoudi

PurposePrevious fraud studies focused on the influence of external environmental factors rather than the actor's own cognition or psychological factors. This paper aims to explore the influence of cognitive factors on people's intention to commit fraud in the construction industry.Design/methodology/approachA scenario-based questionnaire survey was conducted with 248 Chinese construction practitioners. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data.FindingsThe findings showed that perceived threat possibility and perceived threat severity positively affected people's attitudes towards fraud. The reward for compliance and response cost had adverse effects on people's attitudes. Attitude towards fraud and response efficacy directly influenced people's intentions to commit fraud.Research limitations/implicationsThe limitations of this study are that only behavioral intention data were collected, and a single scenario was designed. Despite these limitations, this study proposed a cognitive model to understand fraud in the construction industry and provided an empirical analysis using data from Chinese construction practitioners.Originality/valueThis study reveals the impact of cognitive factors on fraud in the construction industry. The results expand the understanding of fraud and propose a cognitive intervention framework to reduce fraud.


2021 ◽  
Author(s):  
Rahul Bhui ◽  
Yang Xiang

The attraction effect occurs when the presence of an inferior option (the decoy) increases the attractiveness of the option that dominates it (the target). Despite its prominence in behavioral science, recent evidence points to the puzzling existence of the opposite phenomenon—a repulsion effect. In this paper, we formally develop and experimentally test a normative account of the repulsion effect. Our theory is based on the idea that the true values of options are uncertain and must be inferred from available information, which includes the properties of other options. A low-value decoy can signal that the target also has low value when both are believed to be generated by a similar process. We formalize this logic using a hierarchical Bayesian cognitive model that makes predictions about how the strength of the repulsion effect should vary with statistical properties of the decision problem. This theory may help account for several documented phenomena linked to the repulsion effect across both economic and perceptual decision making, as well as new experimental data. Our results shed light on the key drivers of context-dependent judgment across multiple domains and sharpen our understanding of when decoys can be detrimental.


Journalism ◽  
2021 ◽  
pp. 146488492110568
Author(s):  
Arif Hussain Nadaf

The Indian government on 5 August, 2019, unilaterally removed Article 370 of its constitution that provided autonomous status to the disputed region of Jammu and Kashmir. In order to pre-empt any backlash, the authorities put the entire region under strict lockdown and imposed a complete communication blackout including suspension of internet, mobile, and landline phone services. The Indian media vociferously covered the issue of higher “national interest” with no counter-narrative from local news media in the region. Using Van Djik’s socio-cognitive model, the study conducted comparative critical discourse analysis of the headlines from two major Indian online news publications; the English daily The Times of India and the Hindi daily Dainik Jagran to identify the discursive strategies adopted by these newspapers after the revocation of the Article 370. The study aimed to understand how Indian newspapers were shaping the discourse when the Indian government imposed communication restrictions and lockdown in the region. Through CDA, the study located the discursive strategies in the headlines and the ideological standpoints they reflected while covering the Article 370 controversy. The CDA found that the headline discourse in both the news publications was characterized by aggressive nationalistic assertion reinforcing domestic legitimacy for the government’s decision. The analysis further showed substantial evidence for the cultural distances between the English and Hindi language news discourse. Unlike English headlines, the Hindi headlines contained explicit linguistic subjectivities and were overtly hyperbolic in recognizing and blending itself with the nationalist assertion and socio-political expression around the abrogation of Article 370.


Author(s):  
Kateryna Zelenska

Combat stress has a significant impact on the individual. It is a major cause of combat mental trauma and stress disorders development. According to the World Health Organization, combat mental trauma is a direct cause of stress disorders in 80 % of survivors of hostilities, and in its long term are often observed: maladaptation, autoaggressive behavior, anxiety and depression, addiction. Against the background of use of the developed program, positive dynamics of mental state, decrease in levels of anxiety and depression, decrease in the level of groups of PTSD symptoms on the Impact of Event Scale were noted. Reducing level of maladaptation according to the method of K. Rogers and R. Diamond and level of social frustration. Thus, the developed personalized program for the correction of post-stress disorders contributes to the productive dynamics of psychopathological symptoms, reducing emotional tension, restoring a sense of psychological well-being, creating a new cognitive model of life.


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