Effect of IUCN Red List category on public attention to mammals

Cultural data is a powerful tool to analyze public awareness of key societal issues, including the conservation of nature. I used two publicly available repositories of cultural data, Google Trends and Google Ngram, to quantify the effect of the International Union for the Conservation of Nature (IUCN) Red List conservation status on public attention toward 4539 mammal species. With Google Trends, I calculated whether Google searches for their common and scientific names have been increasing or decreasing over time. I also ran an anomaly detection analysis to investigate whether a change in red-list status directly results in an increase in Google searches. Additionally, I quantified the mentions of species' common and scientific names in English texts with Google Ngram. Overall, Google searches for most mammal species remained at similar levels or increased since 2008. The severity of species' IUCN Red List status was a significant predictor of increasing Google searches, although the effect size was relatively small. Red-list status seemed strongly confounded with mammal body size. Species that moved to a higher-risk category spiked significantly in Google searches directly after the new designation. The mention of species' common names in the Google Ngram's English 2019 corpus significantly increased as the red-list category increased. These results provide valuable insight into the importance of the IUCN Red List for increasing public awareness and the usefulness of publicly available cultural data on examining the effectiveness of specific conservation efforts and thus evaluating targets for support and funding.

Increasing digitalization is associated with anxiety and depression: A Google Ngram analysis

The prevalence of anxiety disorders and depression are rising worldwide. Studies investigating risk factors on a societal level leading to these rises are so far limited to social-economic status, social capital, and unemployment, while most such studies rely on self-reports to investigate these factors. Therefore, our study aims to evaluate the impact of an additional factor on a societal level, namely digitalization, by using a linguistic big data approach. We extend related work by using the Google Books Ngram Viewer (Google Ngram) to retrieve and adjust word frequencies from a large corpus of books (8 million books or 6 percent of all books ever published) and to subsequently investigate word changes in terms of anxiety disorders, depression, and digitalization. Our analyses comprise and compare data from six languages, British English, German, Spanish, Russian, French, and Italian. We also retrieved word frequencies for the control construct "religion". Our results show an increase in word frequency for anxiety, depression, and digitalization over the last 50 years (r = .79 to .89, p < .001), a significant correlation between the frequency of anxiety and depression words (r = .98, p < .001), a significant correlation between the frequency of anxiety and digitalization words (r = .81, p < .001), and a significant correlation between the frequency of depression and anxiety words (r = .81, p < .001). For the control construct religion, we found no significant correlations for word frequency over the last 50 years and no significant correlation between the frequency of anxiety and depression words. Our results showed a negative correlation between the frequency of depression and religion words (r = -.25, p < .05). We also improved the method by excluding terms with double meanings detected by 73 independent native speakers. Implications for future research and professional and clinical implications of these findings are discussed.

Belief in Communism and Theory of Mind

A belief in communism refers to the unquestionable trust and belief in the justness of communism. Although former studies have discussed the political aim and social value of communism, the cognitive neural basis of a belief in communism remains largely unknown. In this study, we determined the behavioral and neural correlates between a belief in communism and a theory of mind (ToM). For study 1, questionnaire scores were measured and for study 2, regional homogeneity (ReHo) and resting-state functional connectivity (rsFC) were used as an index for resting-state functional MRI (rs-fMRI), as measured by the Belief in Communism Scale (BCS). The results showed that a belief in communism is associated with higher ReHo in the left thalamus and lower ReHo in the left medial frontal gyrus (MFG). Furthermore, the results of the rsFC analysis revealed that strength of functional connectivity between the left thalamus and the bilateral precuneus is negatively associated with a belief in communism. Hence, this study provides evidence that spontaneous brain activity in multiple regions, which is associated with ToM capacity, contributes to a belief in communism.

COVID-19 shifts mortality salience, activities, and values in the United States: Big data analysis of online adaptation

What is the effect of a life-threatening pandemic at the societal level? An expanded Theory of Social Change, Cultural Evolution, and Human Development predicts that, during a period of increasing survival threat and decreasing prosperity, humans will shift toward the psychology and behavior typical of the small-scale, collectivistic, and rural subsistence ecologies in which we evolved. In particular, subjective mortality salience, engagement in subsistence activities, and collectivism will all increase, while the aspiration to be wealthy will decrease. Because coronavirus has forced unprecedented proportions of human activity online, we tested hypotheses derived from the theory by analyzing big data samples for 70 days before and 70 days after the coronavirus pandemic stimulated President Trump to declare a national emergency. Google searches were used for an exploratory study; the exploratory study was followed by three independent replications on Twitter, internet forums, and blogs. Across all four internet platforms, terms related to subjective mortality salience, engagement in subsistence activities, and collectivism showed massive increases. These findings, coupled with prior research testing this theory, indicate that humans may have an evolutionarily conditioned response to the level of death and availability of material resources in society. More specifically, humans may shift their behavior and psychology toward that found in subsistence ecologies under conditions of high mortality and low prosperity or, conversely, toward behavior and psychology found in modern commercial ecologies under conditions of low mortality and high prosperity.

Parenting Practices, Family Obligation, and Adolescents' Academic Adjustment: Cohort Differences with Social Change in China

This study examined possible changes in the functions of parenting practices across different historical time points in terms of the effects of parenting practices on adolescents' academic adjustment and their indirect effects via family obligation values. This study used a time-lagged design that recruited Chinese high school students in 2010 (N = 1,040) and 2018 (N = 1,302). Structured equation modeling revealed the total effects of acceptance/involvement and strictness/supervision on academic adjustment and their indirect effects through family obligation values were positive and statistically equivalent across cohorts. However, the indirect effect of psychological autonomy granting on academic adjustment through family obligation values was negative in 2010 (in rural) but was not statistically significant in 2018 (urban and rural). These findings indicate that along with the sociodemographic change toward Gesellschaft (e.g., more urbanized, wealthier, higher level of education), psychological autonomy granting tends to exert less negative influence on adolescents' adjustment in the later cohort.

Culture, Work, and Subjective Well-Being: The Role of LMX and Resilience in Spanish and Chinese Cultures

Globalization and interdependencies among nations require a better understanding of the influence of culture on organizational processes. In order to succeed in global business, leaders have to respond to practices that may be different in diverse cultures. This study was conducted within the framework of the leader member exchange approach and from a positive perspective of organizations linking successful businesses and workers’ well-being. The aim of this study was to examine whether the quality of the relationship with the leader predicts engagement and life satisfaction, and whether resilience moderates this relationship in two different cultural contexts (Spanish and Chinese). The sample was composed of 277 workers (127 Chinese workers corresponding to a vertical-collectivistic culture and 150 Spanish workers representing a horizontal-individualistic culture). To test the hypotheses, a structural equations model (SEM) was conducted using the maximum likelihood (ML) estimation method. Results revealed that leader-member exchange (LMX) positively predicts engagement and life satisfaction and that the moderator role of resilience varies across cultures. Resilience moderated the relationship between LMX and engagement and life satisfaction only in the Spanish sample. In the Chinese sample, resilience only moderated the relation between LMX and life satisfaction. Finally, our study contributes to a better understanding of the relationship between leaders and subordinates operating in a global context.

The Psychology of Cultural Dynamics: What Is It, What Do We Know, and What Is Yet to Be Known?

The psychology of cultural dynamics is the psychological investigation of the formation, maintenance, and transformation of culture over time. This article maps out the terrain, reviews the existing literature, and points out potential future directions of this research. It is divided into three parts. The first part focuses on micro-cultural dynamics, which refers to the social and psychological processes that contribute to the dissemination and retention of cultural information. The second part, on micro-macro dynamics, investigates how micro-level processes give rise to macro-cultural dynamics. The third part focuses on macro-cultural dynamics, referring to the distribution and long-term trends involving cultural information in a population, which in turn enable and constrain the micro-level processes. We conclude the review with a consideration of future directions, suggesting behavior change research as translational research on cultural dynamics.