To explore what differences between the relationship of empathy and prosocial willingness before and during the COVID-19 outbreak, we first examined whether the pain judgment (true or faked) significantly affected three measurements: 1) perceived pain in others (pain-ratingother); 2) how much pain they feel when watching each video (vicarious experience); 3) and to what extent they are willing to alleviate the pain of others if possible (prosocial willingness) (Table S1; Fig. S4). However, to some extent, due to the limitations set by the experiment design, dichotomous judgments of true and false lack a measure of self-judgment confidence. That is to say, even if the judgments are made when the individual does not have absolute confidence, the participant may feel the pain and even intentionally help reduce the pain of the performer in the video (average score is above 1). Therefore, the judgement of experienced pain in the video clip was considered a possible confounding variable and we disassociated data that participants chose ‘faked’ option as a covariate, controlled in further model analyses.
Table 1. Sample characteristics
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pre (n = 520)
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post (n =570)
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t
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P values
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Demographic
Age (years)
|
28.43 (7.84)
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25.08 (8.74)
|
6.64
|
***
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Sex (female)
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53%
|
64%
|
χ2 = 14.89
|
______
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IRI
|
|
|
|
|
Perspective taking
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24.14 (2.97)
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23.43 (2.81)
|
4.06
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***
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Empathic Concern
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25.05 (3.50)
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24.56 (3.03)
|
2.48
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*
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Fantasy
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25.54 (4.68)
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23.98 (4.49)
|
2.03
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*
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Personal distress
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23.53 (4.07)
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24.14 (3.50)
|
-2.62
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**
|
STAI
|
|
|
|
|
State anxiety
|
______
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40.31 (10.13)
|
______
|
______
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Trait anxiety
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______
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43.89 (8.59)
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______
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______
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Correct rate
|
0.51 (0.14)
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0.50 (0.12)
|
9.97
|
**
|
Pain-ratingother
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3.89 (0.049)
|
3.60 (0.041)
|
4.78
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***
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Vicarious experience
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3.16 (0.045)
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2.78 (0.042)
|
6.20
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***
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Prosocial willingness
|
3.73 (0.053)
|
3.50 (0.049)
|
3.16
|
**
|
Note: M (SEM), M: mean, SEM: standard error mean; *** P < 0.001, ** P < 0.01, * P < 0.05.
Task measurements in pre- and post-outbreak
Using the repeated measures anova, we first compared the differences in three measurements in our video task (pain-ratingother, vicarious experience and prosocial willingness) in pre- and post-outbreak datasets. There was a significant task measurements × time interaction (F(1.71,3589.98) = 4.674, P < 0.000, ηp2 = 0.002), as well as main effects of task measurements and time (task measurements: F(3.26,3543.98) = 1032.9, P < 0.000, ηp2 = 0.07; time: F(1,2100) = 104.52, P < 0.000, ηp2 = 0.015). The results showed that pain-ratingother (pre: M=3.89, SEM=0.05; post: M=3.60, SEM= 0.05; t=4.27, P<0.000), vicarious experience (pre: M=3.16, SEM= 0.05; post: M=2.78, SEM=0.042; t=6.20, P<0.000) and prosocial willingness (pre: M=3.73, SEM=0.05; post: M=3.50, SEM=0.05; t=3.16, P<0.01) demonstrated significantly population-based decrease in the outbreak era (Fig. 2a). Thus, as in the outbreak period, people were less willing to alleviate others’ pain,as well as a reduced perception of other’pain and vicarious feeling.
Different aspects of empathy: pre- and post-outbreak
Since we were interested in the potential influence of the pandemic on the relationship between prosocial willingness and both the cognitive affective aspects of empathy. IRI, a robust measurements allowed us to examine the internal facets of empathy. Results showed that in the outbreak, a negative fluctuation was witnessed in most empathy-related dimensions measured by (IRI subscales × time: F(2.78,3021.93) = 6.064, P < 0.000, ηp2 = 0.006; Fig. 2b), as well as main effect of IRI subscales(F(2.78,3021.93) = 21.83, P < 0.001, ηp2 = 0.02) and time (F(1,1086) = 12.04, P < 0.001, ηp2 = 0.011). Except for personal distress (pre: M=23.53, SEM=0.18; post: M= 24.14, SEM= 0.15; t=-2.62, P<0.01), all other subscales’ score significantly smaller in the post-outbreak: empathic concern (pre: M=25.05, SEM=0.15; post: M=24.56, SEM=0.13; t=2.48, P<0.05), fantasy (pre: M=24.54, SEM=0.21; post: M=23.98, SEM=0.19; t=2.03, P<0.05), and perspective-taking (pre: M=24.14, SEM=0.13; post: M=23.43, SEM=0.12; t=4.06, P < 0.001).
The results above showed that pain-ratingother, empathic concern, perspective taking, fantasy, and prosocial willingness showed a decline fluctuation during the emerging outbreak than the dataset before the outbreak. However, we were still not clear how the internal construct of empathy-related to our task measurements. Whether a more significant reduction in willingness to help others correlated to individuals’ empathy dispositions? Was this bond further exaggerated (approach motivation) or decreased (avoidance motivation) during the outbreak?
Empathy-driven prosocial willingness
We further investigated whether our task measurements would mediate the relationship between individual differences and prosocial willingness by establishing three mediation models with empathic concern (empathy, perspective-taking, and fantasy) as a predictor, pain-ratingother as a mediator, and prosocial willingness as the dependent variable (model 14 in Process). Data were standardized to analyze moderation and mediation models while using PROCESS in SPSS (Hayes, 2012).
Results showed a significant mediation effect of pain-ratingother for empathic concern and perspective-taking, but not for fantasy (vicarious experience did not demonstrate a mediation effect, since the vicarious experience was not predictive by empathic concern, 95%CI of β: [-0.016, 0.054]). Empathic concern positively predicted prosocial willingness (β=0.052, t(2095)=3.16, P<0.000; path C’) and pain-ratingother in a positive manner (β=0.057, t(2098)=3.49, P<0.001; path A). Furthermore, pain-ratingother robustly predicted prosocial willingness (β=0.62, t(2095)=21.97, P<0.001; path B) (Fig. 3a). Perspective taking positively predicted prosocial willingness (β=0.096, t(2095)=5.85, P<0.001; path C’), and pain-ratingother as well (β=0.043, t(2098)=2.64, P=0.008; path A). Similarly, perspective-taking significantly predicted prosocial willingness (β=0.62, t(2095)=22.07, P<0.001; path B) (Fig. 3b). Finally, fantasy did not predict pain-ratingother (β=0.03, t(2098)=1.96, P=0.05; path A) and prosocial willingness (β=0.01, t(2095)=0.69, P=0.49).
Our results indicated that only pain-ratingother could mediate the predictive relationship from empathic concern/perspective-taking to prosocial willingness, but not from fantasy. Meanwhile, in contrast to perspective taking, empathic concern tended to be more effective in predicting pain ratings of others' pain. We further included a binary variable of time (pre- and post-outbreak) as a moderator to examine whether the outbreak era would have a moderation effect. These results showed that the moderation effect on pain-ratingother, predicting prosocial willingness (β=-0.089, P=0.012<0.05, 95% CI: [-0.15,-0.02], path B), thus suggesting that the predictive effect of empathic concern empathy-related constructs to prosocial willingness decreased during the outbreak (Fig. 4a, b).
Anxiety and distance from the outbreak epicenter
Emotions play a major role in a population-level mental health crisis, among which, anxiety is considered an influential factor in empathy and prosocial behaviors. Previous studies have also demonstrated that social events influence everyone's mentality, and in times of emergency, the demand for information rises significantly, but rumors are also prevalent at this moment. To a significant extent, rumors impact the relationship between emotion and cognition.
We also want to examine how the experience of ambiguity in international events by people, especially the uncertainty of news, influences the components related to empathy. A symbiotic connection exists between the media and culture. The development of improved social communication is the birth of a medium. Excessive exposure to untrue information increases people's anxiety about the validity of news and indifference or uncertainty against the news fed to our sight. We attempted to examine how news authenticity discriminability induced anxiety-affected empathic concern. “News authenticity discriminability” was measured by one question —— ‘I can accurately distinguish true and false messages related to this disease.’, and a high score represents higher confidence in discriminating news authenticity (Fig. 5b). The State-Trait Anxiety Inventory (STAI) was used to evaluate post-outbreak anxiety levels (Table 1), along with some direct questions about how people felt during the outbreak in terms of anxiety, depression, and fear (see more in supplementary materials).
News discriminability moderated how state anxiety negatively predicted empathic concern (STAI subscale). State anxiety in this model predicted empathy (β=-0.17, t(1119)=-5.62, P<0.001). News discriminability did not significantly predict empathic concern (t(1119)=0.02, P=0.98). The more anxious people felt, the less empathy they displayed. The interaction of news discriminability and state anxiety was significant (β=-0.07, t(1119)=-2.38, P=0.02). In the post-outbreak period, people became confused about overwhelming news, which negatively influenced the empathic concern (Fig. 5a, 5b; Table S2).
“The ripple effect” in data gathered from this study
In addition to the self-report of faked news discriminability that is a subjective predictor influencing the emotional-cognitive connection, we wanted to examine two well-established theories (PTE effect vs. the ripple effect). That is how geographic proximity influences the direction of empathy-driven prosocial conduct undergoing emergency. To test how anxiety affects prosocial willingness during the outbreak era (Dataset 2 only) in terms of distance, a moderation model (model 1 in PROCESS) was used. The variable ‘distance from Wuhan’ is a binary variable, defined by the distance calculated by the IP address (see supplementary materials Method) and divided into two types (near/far). There was no indication that distance affected the association between pain-ratingother and prosocial willingness (Fig. S6).
We established a serial, two-part mediation model (model 6 in PROCESS). The results showed that anxiety could influence prosocial willingness through empathic concern and pain-ratingother (Fig. 3c). First, there was no clear evidence showing that state anxiety directly correlates with the prosocial willingness (β=-0.03, t(1119)=-0.964, P=0.335, path C). The direct effect of state anxiety, however, seemed to be suppressed by the indirect path in which prosocial willingness was predictive by state anxiety (β<0.01, t(1117)=0.07, P=0.944, path C'). Along the indirect path, the state anxiety successfully predicted empathic concern (β=-0.17, t(1119)=-5.78, P<0.000, path A1). Meanwhile, empathic concern predicted pain-ratingother (β =0.08, t(1118)=3.33, P<0.001, path DA1) and overall prosocial willingness (β=0.06, t(1117)=2.595, P < 0.001, path B1). As in previously established models in our results, pain-ratingother robustly predicted overall prosocial willingness in our Dataset 2 (β=0.52, t(1117)=0.52, P<0.001, path B2) (Fig. 3c).
Finally, we explored the effect of distance by calculating each participant's distance from the disease epicenter based on IP address and divided into two groups (near/far) by the mean of the calculated distance. The interaction between distance from Wuhan and state anxiety was significant (β=0.17, t(1117)=2.74, P<0.01), suggesting a moderation effect of distance in the serial two-part mediation model (Fig. 3c). Notably, that distance moderated the influence of anxiety on the empathic concern and further affected prosocial willingness.