Stop the blame game: An analysis of blaming on Weibo during the early days of the COVID-19 pandemic in rice and wheat areas in China

In the pandemic era, social media has provided the public with a platform to make their voice heard. One of the most important public opinions online during a pandemic is blame. Blame can lead to stigma towards patients as well as potential patients and decrease social cooperation, which might impede prevention and control measures during epidemics. Thus, studying online blame during the early days of COVID-19 can facilitate the management and control of future pandemics. By analyzing 3791 posts from one of the most popular social media sites in China (Weibo) over the 10 days immediately after COVID-19 was declared to be a communicable disease, we found that there were four main agents blamed online: Individuals, corporations, institutions, and the media. Most of the blame targeted individual agents. We also found that there were regional-cultural differences in the detailed types of blamed individual agents, that is, between rice- and wheat-farming areas in China. After controlling influence of distance from the epicenter of Wuhan, there were still stable differences between regions: people in wheat areas had a higher probability of blaming agentic, harmful individuals, and people in rice areas had a higher probability of blaming individuals with low awareness of social norms for preventive health behavior. Findings have implications for preventing and predicting blame across cultures in future pandemics.     

An individual difference model for the multidimensional analysis of preference data

A model for the analysis of paired comparison data is presented which combines features of the BTL-model with features of the Unfolding model. The model is metric, mathematically tractable, and has an exact algebraic solution. Since it is multidimensional and allows for individual differences, it is thought to be more realistic for some choice situations than either the Thurstone model or the BTL-model. No claim is made that the present model will be appropriate for all conceivable choice situations. Rather, it is argued that the fact that it is explicitly falsifiable is a point in its favor.This work was supported by a grant of the United States Public Health Service (1 R03 MH19139 01 MSM) and a David Ross (XR) grant of the Purdue Research Foundation (PRF 2132), both of which are gratefully acknowledged. We also owe thanks to Dr. Terry Cooper, whose careful scrutiny of an earlier draft of this paper allowed us to reduce the number of errors from n to n-1.     

Some new results on factor indeterminacy

Some relations between maximum likelihood factor analysis and factor indeterminacy are discussed. Bounds are derived for the minimum average correlation between equivalent sets of correlated factors which depend on the latent roots of the factor intercorrelation matrix . Empirical examples are presented to illustrate some of the theory and indicate the extent to which it can be expected to be relevant in practice.     

Tenacious goal pursuit and flexible goal adjustment: explication and age-related analysis of assimilative and accommodative strategies of coping

Crises and critical life transitions activate 2 distinct but complementary modes of coping, (a) transforming developmental circumstances in accordance with personal preferences (assimilative tendency) and (b) adjusting personal preferences to situational constraints (accommodative tendency). Assimilative and accommodative tendencies were measured by a questionnaire comprising 2 independent scales (Tenacious Goal Pursuit and Flexible Goal Adjustment). Both scales predict high life satisfaction and low depression and are positively related to generalized internal control beliefs. The scales evinced an opposite relation to age: Cross-sectional analyses on a sample of 890 Ss in the age range from 34 to 63 years revealed a gradual shift from an assimilative to an accommodative mode of coping. Implications for theories of depression and successful aging are discussed.