The Effect of Emotion on Prosocial Tendency: The Moderating Effect of Epidemic Severity Under the Outbreak of COVID-19

Impacts of government social media on public engagement in low-carbon practices focusing on Japan

This study investigates the role of Government Social Media (GSM) in enhancing public engagement with Low-Carbon Practices (LCP) in Japan. Motivated by the need to foster sustainable development and mitigate climate change impacts, this research utilizes negative binomial regression model analyzing 1022 posts from nine Japanese government social media accounts. Our findings reveal that increased media richness negatively correlates with engagement, suggesting that content depth over visual appeal is more effective for LCP-related communication. Surprisingly, the dialogic loop reduces engagement, indicating complex public reactions to governmental initiatives. Content themes related to governmental actions and LCP information significantly enhance engagement, while emotional valence shows minimal impact. The study introduces 'social media capital' as a moderating factor, which mitigates the negative effects of dialogic loops and media richness on engagement, and influences the impact of content themes. These insights provide a foundation for future research and guide the development of effective public engagement strategies in environmental policy. The study highlights the need for nuanced GSM strategies that prioritize information quality and relevance to increase public participation in low-carbon initiatives.

Turning pain into strength: prosocial behaviours in coping with trauma

Background: Various coping strategies have been shown to alleviate the negative effects of trauma, yet the significance of prosocial behaviour in this realm has been notably underexplored. The present study explored the hypothesis that engaging in prosocial behaviour mitigates the impacts of trauma by promoting a sense of competence and relatedness, post-traumatic growth (PTG), and reconstruction of meaning.Methods: Three consecutive studies were conducted with college students to compare differences in consequence of prosocial behaviours between a trauma group and a control group. Study 1 (N = 96) used self-reported experiences of traumatic vs non-traumatic events; Study 2 (N = 43) used exposure vs. no exposure to video of an earthquake; Study 3 (N = 20) used a randomized controlled trial (RCT) of a prosocial-themed intervention vs. no intervention. Outcomes in all studies were assessed by self-report questionnaires.Results: Trauma damaged participants' sense of competence and meaningfulness. Prosocial behaviour relieved the impact of trauma on meaning, specifically manifested in the individuals' sense of meaningfulness and their search for meaning. Group interventions with a prosocial theme (based on effect size results) reduced post-traumatic stress disorder (PTSD) and enhanced PTG in victims. The promoting effect on PTG persisted a month later, and its enhancing effect on meaning manifested with a delay.Conclusion: Prosocial behaviour can potentially serve as a beneficial strategy for individuals coping with trauma because it helps enhance meaning and promotes PTG in victims. This conclusion is supported by laboratory experiments and a tentative small-scale intervention study, which provide an innovative perspective for future trauma interventions.

Inspired in Adversity: How Inspiration Mediates the Effects of Emotions on Coping Strategies

Purpose

Inspiration is a psychological construct that has been relatively understudied in times of difficulty. This study aims to investigate the mediating effect of inspiration on the relationship between emotions and coping strategies in the context of adversity and to testify the effect in Chinese as well as the International societies.

Participants and Methods

Using the snowball sampling method, two survey studies were conducted among 523 Chinese and 503 international participants during and soon after the local Covid-19 outbreak to testify how positive and negative emotions contributed to various coping strategies and whether the experience of inspiration mediated these relations. Structural equation modeling (SEM) was used to analyze the data.

Results

Positive emotions had a higher impact on problem-solving and seeking social support coping strategies, whereas negative emotions had a higher impact on avoidance coping strategy. Both positive and negative emotions had positive relationships with inspiration, but positive emotions had a higher impact than negative ones. The indirect effects of emotions on problem-solving and social support coping strategies through inspiration were significantly positive, while the avoidance coping strategy was not influenced by the experience of inspiration.

Conclusion

The results suggest that being inspired in both positive and negative emotions is positively related to approach coping strategies in adverse situations such as COVID-19, with the effect patterns slightly differing between Chinese participants and their Western counterparts. This study highlights the importance of inspiration experience as a motivational state that can help individuals bring newly acquired ideas into fruition, especially during times of difficulty. By understanding the role of inspiration in the context of adversity, public health systems can better assist individuals in different societies to cope with the challenges they face.

Promoting Adolescents' Social Responsibility through Parent-Adolescent Conversations about the COVID-19 Pandemic

PURPOSE

This longitudinal mixed-method study examined the content and qualities of parent-adolescent conversations about the COVID-19 pandemic, and whether discourse about social responsibility (i.e., care for others and health protective behaviors [HPBs]) within conversations predicted changes in adolescents' socially responsible behavior across the first year of the pandemic.

METHODS

Participants were 122 ethnically/racially diverse parent-adolescent dyads from Southern California. In spring 2020 (Time 1), adolescents completed an online survey measuring their engagement in HPBs (e.g., social distancing) and prosociality (both pandemic-specific and global). A few months following survey completion (Time 2), parent-adolescent dyads engaged in an audio-recorded conversation about the pandemic. In winter 2020 (Time 3), adolescents' engagement in HPBs and prosociality were reassessed via an online survey.

RESULTS

Dyads spent 25% of conversational turns, on average, discussing social responsibility (4% and 21% of turns discussing care for others and HPBs, respectively). Internal state language reflecting emotion terms was positively correlated with the proportion of conversational turns spent discussing care for others and negatively associated with conversational turns spent discussing HPBs. Regression analyses revealed that both care for others and HPB conversation themes uniquely predicted increases in adolescents' engagement in HPBs over time; however, care for others was a stronger predictor (β = 0.24 vs. β = 0.16). Discussions about care for others (but not HPBs) predicted increases in pandemic-specific prosociality, but not global prosocial behavior.

DISCUSSION

Parent-adolescent conversations may be rich ground for the socialization of adolescents' social responsibility during crises and can inform best practices for engaging adolescents in current and future community health initiatives.

Personality and context-related factors of helping and helping-related affect during early stages of the COVID-19 pandemic

COVID-19 pandemic led to introduction of lockdown measures in many countries, while in Serbia the Government also introduced the curfew by which vulnerable groups of citizens were prohibited from leaving their homes at any time. In such a situation many citizens organized to voluntarily offer their help to those in isolation, which offered a unique opportunity to examine prosocial behavior in the natural setting of global crisis. This study examined the differences between non-helpers and helpers, as well as groups of helpers who provided their help to close or unknown others, in personality (prosocial tendencies, selfishness and communal narcissism) and context-related factors (situation specific empathy and fear) of prosocial behaviors. Additionally, the study also analyzed the helping-related affect among helpers, depending on the recipient of help and personality characteristics. Results revealed that groups of helpers with different recipients of help (close persons, unknown persons or both) were not different among each other, but they were different from non-helpers. Non-helpers were more selfish and had self-focused prosocial tendencies, and they showed less empathy towards people in isolation, compared to helper groups. However, the helping-related affect depended on the recipient of help and helper's personality traits. This study confirmed some previous findings and offered novel insights into factors related to helping in crises.

China public emotion analysis under normalization of COVID-19 epidemic: Using Sina Weibo

The prevention and control of the coronavirus disease 2019 (COVID-19) epidemic in China has entered a phase of normalization. The basis for evaluating and improving public health strategies is understanding the emotions and concerns of the public. This study establishes a fine-grained emotion-classification model to annotate the emotions of 32,698 Sina Weibo posts related to COVID-19 prevention and control from July 2022 to August 2022. The Dalian University of Technology (DLUT) emotion-classification system was adjusted to form four pairs (eight categories) of bidirectional emotions: good-disgust, joy-sadness, anger-fear, and surprise-anticipation. A lexicon-based method was proposed to classify the emotions of Weibo posts. Based on the selected Weibo posts, the present study analyzed the Chinese public's sentiments and emotions. The results showed that positive sentiment accounted for 51%, negative sentiment accounted for 24%, and neutral sentiment accounted for 25%. Positive sentiments were dominated by good and joy emotions, and negative sentiments were dominated by fear and disgust emotions. The proportion of positive sentiments on official Weibo (accounts belonging to government departments and official media) is significantly higher than that on personal Weibo. Official Weibo users displayed a weak guiding effect on personal users in terms of positive sentiment and the two groups of users were almost completely synchronized in terms of negative sentiment. The linear discriminant analysis (LDA) was performed on the two negative emotions of fear and disgust in the personal posts. The present study found that the emotion of fear was mainly related to COVID-19 infection and death, control of people with positive nucleic acid tests, and the outbreak of local epidemic, while the emotion of disgust was mainly related to the long-term existence of the epidemic, the cost of nucleic acid tests, non-implementation of prevention and control measures, and the occurrence of foreign epidemics. These findings suggest that Chinese attitudes toward epidemic prevention and control are positive and optimistic; however, there is also a notable proportion of fear and disgust. It is expected that this study will help public health administrators to evaluate the effectiveness of possible countermeasures and work toward precise prevention and control of the COVID-19 epidemic.

The positive energy of netizens: development and application of fine-grained sentiment lexicon and emotional intensity model

The outbreak of COVID-19 has led to a global health crisis and caused huge emotional swings. However, the positive emotional expressions, like self-confidence, optimism, and praise, that appear in Chinese social networks are rarely explored by researchers. This study aims to analyze the characteristics of netizens' positive energy expressions and the impact of node events on public emotional expression during the COVID-19 pandemic. First, a total of 6,525,249 Chinese texts posted by Sina Weibo users were randomly selected through textual data cleaning and word segmentation for corpus construction. A fine-grained sentiment lexicon that contained POSITIVE ENERGY was built using Word2Vec technology; this lexicon was later used to conduct sentiment category analysis on original posts. Next, through manual labeling and multi-classification machine learning model construction, four mainstream machine learning algorithms were selected to train the emotional intensity model. Finally, the lexicon and optimized emotional intensity model were used to analyze the emotional expressions of Chinese netizens. The results show that POSITIVE ENERGY expression accounted for 40.97% during the COVID-19 pandemic. Over the course of time, POSITIVE ENERGY emotions were displayed at the highest levels and SURPRISES the lowest. The analysis results of the node events showed after the outbreak was confirmed officially, the expressions of POSITIVE ENERGY and FEAR increased simultaneously. After the initial victory in pandemic prevention and control, the expression of POSITIVE ENERGY and SAD reached a peak, while the increase of SAD was the most prominent. The fine-grained sentiment lexicon, which includes a POSITIVE ENERGY category, demonstrated reliable algorithm performance and can be used for sentiment classification of Chinese Internet context. We also found many POSITIVE ENERGY expressions in Chinese online social platforms which are proven to be significantly affected by nod events of different nature.

Promoting public engagement with household waste separation through government social media: A case study of Shanghai

Government agencies around the world are increasingly using social media to promote public engagement with government-initiated activities, such as Household Waste Separation (HWS). However, existing studies fail to examine how governments can use their official social media accounts to promote public engagement with HWS. This pioneering study investigates the effects of dialogic loop, media richness, content theme, and emotional valence on public engagement with HWS through Government Social Media (GSM). Moreover, the influencing mechanisms are explored by examining the moderating role of social media capital. In total, 1795 posts were scraped from the official Sina Weibo accounts of seventeen Shanghai governments and later analyzed. Results reveal that dialogic loop positively predicts public engagement with HWS through GSM, but media richness negatively affects public engagement. Content themes have significantly different impacts on the level of public engagement with HWS through GSM. Unexpectedly, the effect of emotional valence is not significant. This study is the first of its kind to demonstrate the moderating role of social media capital which is seen to weaken the positive effect of dialogic loop on public engagement with HWS through GSM and mitigate the negative effect of media richness.

Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review

BACKGROUND

With the increasing frequency and magnitude of disasters internationally, there is growing research and clinical interest in the application of social media sites for disaster mental health surveillance. However, important questions remain regarding the extent to which unstructured social media data can be harnessed for clinically meaningful decision-making.

OBJECTIVE

This comprehensive scoping review synthesizes interdisciplinary literature with a particular focus on research methods and applications.

METHODS

A total of 6 health and computer science databases were searched for studies published before April 20, 2021, resulting in the identification of 47 studies. Included studies were published in peer-reviewed outlets and examined mental health during disasters or crises by using social media data.

RESULTS

Applications across 31 mental health issues were identified, which were grouped into the following three broader themes: estimating mental health burden, planning or evaluating interventions and policies, and knowledge discovery. Mental health assessments were completed by primarily using lexical dictionaries and human annotations. The analyses included a range of supervised and unsupervised machine learning, statistical modeling, and qualitative techniques. The overall reporting quality was poor, with key details such as the total number of users and data features often not being reported. Further, biases in sample selection and related limitations in generalizability were often overlooked.

CONCLUSIONS

The application of social media monitoring has considerable potential for measuring mental health impacts on populations during disasters. Studies have primarily conceptualized mental health in broad terms, such as distress or negative affect, but greater focus is required on validating mental health assessments. There was little evidence for the clinical integration of social media-based disaster mental health monitoring, such as combining surveillance with social media-based interventions or developing and testing real-world disaster management tools. To address issues with study quality, a structured set of reporting guidelines is recommended to improve the methodological quality, replicability, and clinical relevance of future research on the social media monitoring of mental health during disasters.

Moral Decision-Making During COVID-19: Moral Judgements, Moralisation, and Everyday Behaviour

The COVID-19 pandemic continues to pose significant health, economic, and social challenges. Given that many of these challenges have moral relevance, the present studies investigate whether the COVID-19 pandemic is influencing moral decision-making and whether moralisation of behaviours specific to the crisis predict adherence to government-recommended behaviours. Whilst we find no evidence that utilitarian endorsements have changed during the pandemic at two separate timepoints, individuals have moralised non-compliant behaviours associated with the pandemic such as failing to physically distance themselves from others. Importantly, our findings show that this moralisation predicts sustained individual compliance with government-recommended behaviours.

The Impact of Socialisation on Children's Prosocial Behaviour. A Study on Primary School Students

BACKGROUND

Studying prosociality in children is a complex but relevant issue related to the qualitative development of human interactions. The main objective of the present study is to identify the psychosocial factors that most promote or inhibit the adoption of prosocial behaviours among children.

METHOD

In Spring 2021, a survey was conducted amongst primary school children through a structured paper questionnaire. The data analysis has been carried out through bivariate and multivariate statistical techniques. Path analysis has been used.

RESULTS

The results highlight the role played by the parental education level, the perception of positive and negative emotions, the adherence to gender roles and the involvement in cyberbullying actions in predicting prosocial tendencies among children. On the other hand, adopting prosocial behaviours affects the screen-time as well as the devices' interference in face-to-face interactions and the attitude towards school.

CONCLUSIONS

The results are relevant and useful for the study of trends in prosocial behaviours among children. Family education level, individual status, peer interactions and social conditionings are variables that highly influence this multidimensional phenomenon. Further research is needed, including the definition of new measures and indicators concerning the context where children live and interact with others, with the aim of designing interventions aimed at facilitating relational well-being of children.

Social Media and Emotional Burnout Regulation During the COVID-19 Pandemic: Multilevel Approach

BACKGROUND

In February 2020, the Chinese government imposed a complete lockdown of Wuhan and other cities in Hubei Province to contain a spike of COVID-19 cases. Although such measures are effective in preventing the spread of the virus, medical professionals strongly voiced a caveat concerning the pandemic emotional burnout at the individual level. Although the lockdown limited individuals' interpersonal communication with people in their social networks, it is common that individuals turn to social media to seek and share health information, exchange social support, and express pandemic-generated feelings.

OBJECTIVE

Based on a holistic and multilevel perspective, this study examines how pandemic-related emotional exhaustion enacts intrapersonal, interpersonal, and hyperpersonal emotional regulation strategies, and then evaluates the effectiveness of these strategies, with a particular interest in understanding the role of hyperpersonal-level regulation or social media-based regulation.

METHODS

Using an online panel, this study sampled 538 Chinese internet users from Hubei Province, the epicenter of the COVID-19 outbreak in China. Survey data collection lasted for 12 days from February 7-18, 2020, two weeks after Hubei Province was placed under quarantine. The sample had an average age of 35 (SD 10.65, range 18-78) years, and a majority were married (n=369, 68.6%).

RESULTS

Using structural equation modeling, this study found that intrapersonal-level (B=0.22; β=.24; P<.001) and interpersonal-level (B=0.35; β=.49; P<.001) emotional regulation strategies were positively associated with individuals' outcome reappraisal. In contrast with intrapersonal and interpersonal regulations, hyperpersonal (social media-based) regulation strategies, such as disclosing and retweeting negative emotions, were negatively related to the outcome reappraisal (B=-1.00; β=-.80; P<.001).

CONCLUSIONS

Consistent with previous literature, intrapersonal-level regulation (eg, cognitive reappraisal, mindfulness, and self-kindness) and interpersonal-level supportive interaction may generate a buffering effect on emotional exhaustion and promote individuals' reappraisal toward the stressful situation. However, hyperpersonal-level regulation may exacerbate the experienced negative emotions and impede reappraisal of the pandemic situation. It is speculated that retweeting content that contains pandemic-related stress and anxiety may cause a digital emotion contagion. Individuals who share other people's negative emotional expressions on social media are likely to be affected by the negative affect contagion. More importantly, the possible benefits of intrapersonal and interpersonal emotion regulations may be counteracted by social media or hyperpersonal regulation. This suggests the necessity to conduct social media-based health communication interventions to mitigate the social media-wide negative affect contagion if lockdown policies related to highly infectious diseases are initiated.