Detecting emotional contagion in massive social networks

The expression of empathy in human's closest relatives, bonobos and chimpanzees: current and future directions

Empathy is a complex, multi-dimensional capacity that facilitates the sharing and understanding of others' emotions. As our closest living relatives, bonobos (Pan paniscus) and chimpanzees (P. troglodytes) provide an opportunity to explore the origins of hominin social cognition, including empathy. Despite certain assumptions that bonobos and chimpanzees may differ empathically, these species appear to overlap considerably in certain socio-emotional responses related to empathy. However, few studies have systematically tested for species variation in Pan empathic or socio-emotional tendencies. To address this, we synthesise the growing literature on Pan empathy to inform our understanding of the selection pressures that may underlie the evolution of hominin empathy, and its expression in our last common ancestor. As bonobos and chimpanzees show overlaps in their expression of complex socio-emotional phenomena such as empathy, we propose that group comparisons may be as or more meaningful than species comparisons when it comes to understanding the evolutionary pressures for such behaviour. Furthermore, key differences, such as how humans and Pan communicate, appear to distinguish how we experience empathy compared to our closest living relatives.

Friend influence and susceptibility to influence on emotions towards math: The role of adolescent temperament

BACKGROUND AND AIMS

Peer relationships during adolescence play an important role in shaping academic outcomes. The present study examined friend influences on emotions towards math, as well as the role of temperament in these influences.

SAMPLE

The sample consisted of 350 Finnish students (mean age 13.29 years; 64% girls) who were involved in stable friendship dyads from fall to spring of Grade 7.

METHODS

In this two-wave study, information on adolescents' temperament (i.e., negative emotionality, extraversion, effortful control) and on seven emotions towards math (i.e., enjoyment, hope, pride, anger, anxiety, shame, hopelessness, and boredom) was collected during grade 7. The data were analysed using longitudinal actor-partner interdependence models.

RESULTS

The results showed that friends resembled each other in all the investigated math-related emotions. Furthermore, over and above these initial similarities, friends mutually influenced each other's math-related enjoyment and anger towards math. Students characterized by higher negative emotionality also influenced their friends with lower levels of negative emotionality towards an increase in math-related anger and a lack of effortful control made adolescents more susceptible to friend influence over math-related shame and anxiety.

CONCLUSION

Our findings demonstrate that friends influence each other over time in math-related enjoyment and frustration. Furthermore, high negative emotionality may make adolescents more influential over their friends' math-related anger and a lack of effortful control may make adolescents more susceptible to friend influence over math-related shame and anxiety. Thus, the current findings have implications for how peer relations may impact individual outcomes in mathematics, for better or worse.

Emotional contagion in a collective ritual

Collective gatherings are often associated with the alignment of psychophysiological states between members of a crowd. While the process of emotional contagion has been studied extensively in dyads as well as at the population level, our understanding of its operation and dynamics as they unfold in real time in real-world group contexts remains limited. Employing a naturalistic design, we investigated emotional contagion in a public religious ritual by examining the relationship between interpersonal distance and autonomic arousal. We found that proximity in space was associated with heightened affective synchrony between participants in the context of the emotionally laden ritual (a Hindu procession) compared with an unstructured walk along the same route performed by the same group. Our findings contribute to the understanding of collective emotions and their underlying psychophysiological mechanisms, emphasizing the role of cultural practices in shaping collective emotional experiences.

The effects of social media usage on vicarious traumatization and the mediation role of recommendation systems usage and peer communication in China after the aircraft flight accident

Background: Previous research has indicated that continuous exposure to disaster-related information through social media can lead to vicarious trauma. However, scholars have recognized the need for further in-depth research into the underlying mechanisms influencing this relationship.Objective: The purpose of this study is to investigate the impact mechanism of social media usage on vicarious traumatization in users and analyze the roles of recommendation systems and peer communication.Methods: This study was conducted with college students in China, focusing on the context of the MU5735 aircraft flight accident in China in which 123 passengers and 9 crew members died. Data were collected through an online questionnaire. The partial least square structural equation modelling (PLS-SEM) method was used to test the data and model.Results: This study obtained valid responses from 1317 participants. The study findings revealed a significant positive correlation between social media usage(β = 0.180，P < .001), recommendation systems usage (β = 0.172, P < .001), peer communication (β = 0.303, P < .001), and the development of vicarious traumatization. Recommendation systems usage (specific indirect effect  = 0.063, P < .001) and peer communication (specific indirect effect  = 0.138, P < .001) mediated the relationship between social media use and vicarious trauma. Additionally, the impact of peer communication on vicarious trauma was found to be higher compared to the effects of continuous social media use and recommendation system use.Conclusion: The study found that the use of social media to obtain information about accidents, the frequent pushing of accident information by recommender systems, and the frequent discussion of accidents among peers during unexpected accidents contribute to vicarious traumatization. The study suggests that users' reduced retrieval of accident information via social media, as well as reduced peer-to-peer discussions about accidents, and social media platforms' adjustment of recommender system algorithm rules to reduce accident information pushes, may help reduce the likelihood of users experiencing vicarious traumatization.

Alcohol consumption as a socially contagious phenomenon in the Framingham Heart Study social network

We use longitudinal social network data from the Framingham Heart Study to examine the extent to which alcohol consumption is influenced by the network structure. We assess the spread of alcohol use in a three-state SIS-type model, classifying individuals as abstainers, moderate drinkers, and heavy drinkers. We find that the use of three-states improves on the more canonical two-state classification, as the data show that all three states are highly stable and have different social dynamics. We show that when modelling the spread of alcohol use, it is important to model the topology of social interactions by incorporating the network structure. The population is not homogeneously mixed, and clustering is high with abstainers and heavy drinkers. We find that both abstainers and heavy drinkers have a strong influence on their social environment; for every heavy drinker and abstainer connection, the probability of a moderate drinker adopting their drinking behaviour increases by [Formula: see text] and [Formula: see text], respectively. We also find that abstinent connections have a significant positive effect on heavy drinkers quitting drinking. Using simulations, we find that while both are effective, increasing the influence of abstainers appears to be the more effective intervention compared to reducing the influence of heavy drinkers.

Reading others' social appraisals after viewing an aversive film online impacts mood but not intrusive memories

Exposure to aversive footage online can affect our well-being, but to what extent does reading others' appraisals of this content modulate our affective responses? In a pre-registered online study (N = 170), we used a digital trauma film paradigm as an analogue for the naturalistic exposure to aversive visual content online. We investigated whether online social reappraisal about the film influenced acute affective responses and subsequent intrusive memories. First, we examined whether the digital trauma film paradigm induced similar affective responses as in-lab experiments (within-subjects; change in negative mood and intrusive memories of the film during seven days). Participants reported a negative mood change and experienced intrusive memories of the film, extending findings from in-lab experiments. Next, we tested a social reappraisal manipulation that provides written comments from (fictitious) previous participants (between-subjects; reading positive, negative, or no comments) modulated participants' affective responses. As predicted, relative to controls and negative comments, reading positive comments decreased negative mood. However, reading negative comments did not increase negative mood. Contrary to predictions, the social reappraisal manipulation did not modulate the number of intrusive memories. Findings suggest the benefit of positive social reappraisal for mitigating negative mood, but not intrusive memories following aversive film content online.

Unveiling the dynamics of emotions in society through an analysis of online social network conversations

Social networks can provide insights into the emotions expressed by a society. However, the dynamic nature of emotions presents a significant challenge for policymakers, politicians, and communication professionals who seek to understand and respond to changes in emotions over time. To address this challenge, this paper investigates the frequency, duration, and transition of 24 distinct emotions over a 2-year period, analyzing more than 5 million tweets. The study shows that emotions with lower valence but higher dominance and/or arousal are more prevalent in online social networks. Emotions with higher valence and arousal tend to last longer, while dominant emotions tend to have shorter durations. Emotions occupying the conversations predominantly inhibit others with similar valence and dominance, and higher arousal. Over a month, emotions with similar valences tend to prevail in online social network conversations.

Enabling Multicentric Participatory Disease Surveillance for Global Health Enhancement: Viewpoint on Global Flu View

Participatory surveillance (PS) has been defined as the bidirectional process of transmitting and receiving data for action by directly engaging the target population. Often represented as self-reported symptoms directly from the public, PS can provide evidence of an emerging disease or concentration of symptoms in certain areas, potentially identifying signs of an early outbreak. The construction of sets of symptoms to represent various disease syndromes provides a mechanism for the early detection of multiple health threats. Global Flu View (GFV) is the first-ever system that merges influenza-like illness (ILI) data from more than 8 countries plus 1 region (Hong Kong) on 4 continents for global monitoring of this annual health threat. GFV provides a digital ecosystem for spatial and temporal visualization of syndromic aggregates compatible with ILI from the various systems currently participating in GFV in near real time, updated weekly. In 2018, the first prototype of a digital platform to combine data from several ILI PS programs was created. At that time, the priority was to have a digital environment that brought together different programs through an application program interface, providing a real time map of syndromic trends that could demonstrate where and when ILI was spreading in various regions of the globe. After 2 years running as an experimental model and incorporating feedback from partner programs, GFV was restructured to empower the community of public health practitioners, data scientists, and researchers by providing an open data channel among these contributors for sharing experiences across the network. GFV was redesigned to serve not only as a data hub but also as a dynamic knowledge network around participatory ILI surveillance by providing knowledge exchange among programs. Connectivity between existing PS systems enables a network of cooperation and collaboration with great potential for continuous public health impact. The exchange of knowledge within this network is not limited only to health professionals and researchers but also provides an opportunity for the general public to have an active voice in the collective construction of health settings. The focus on preparing the next generation of epidemiologists will be of great importance to scale innovative approaches like PS. GFV provides a useful example of the value of globally integrated PS data to help reduce the risks and damages of the next pandemic.

Relationship between depression, smartphone addiction, and sleep among Chinese engineering students during the COVID-19 pandemic

BACKGROUND

Existing research has demonstrated that depression is positively related to smartphone addiction, but the role of sleep has not been discussed thoroughly, especially among engineering undergraduates affected by the coronavirus disease 2019 pandemic.

AIM

To evaluate sleep as a mediator of the association between smartphone addiction and depression among engineering undergraduates.

METHODS

Using a multistage stratified random sampling method, a cross-sectional survey was conducted among 692 engineering undergraduates from a top engineering university in China, and data were collected by self-reported electronic questionnaires. The data included demographic characteristics, such as age, gender, the Smartphone Addiction Scale-Short Version (SAS-SV), the 9-item Patient Health Questionnaire, and the Pittsburgh Sleep Quality Index. Pearson correlation and multiple linear regression analyses were used to examine the association between smartphone addiction and depression, while structural equation models were established to evaluate the possible mediating role of sleep.

RESULTS

Based on the cutoffs of the SAS-SV, the rate of smartphone addiction was 63.58 percent, with 56.21 percent for women and 65.68 percent for men, among 692 engineering students. The prevalence of depression among students was 14.16 percent, with 17.65 percent for women, and 13.18 percent for men. Smartphone addiction was positively correlated with depression, and sleep played a significant mediating effect between the two, accounting for 42.22 percent of the total effect. In addition, sleep latency, sleep disturbances, and daytime dysfunction significantly mediated the relationship between depression and smartphone addiction. The mediating effect of sleep latency was 0.014 [P < 0.01; 95% confidence interval (CI): 0.006-0.027], the mediating effect of sleep disturbances was 0.022 (P < 0.01; 95%CI: 0.011-0.040), and the mediating effect of daytime dysfunction was 0.040 (P < 0.01; 95%CI: 0.024-0.059). The influence of sleep latency, sleep disturbances, and daytime dysfunction accounted for 18.42%, 28.95%, and 52.63% of the total mediating effect, respectively.

CONCLUSION

The results of the study suggest that reducing excessive smartphone use and improving sleep quality can help alleviate depression.

The contagion of mental illness: Insights from a Sufi shrine

In this article, an anthropologist and a psychiatrist examine a Sufi shrine-based concept of affliction known as asrat (an "effect" in Hindi-Urdu, "difficulty" in Arabic) and related practices of healing in urban north India. Rather than being located in an individual body, asrat afflictions are shared, most often within a household or kinship group. Through surveys, clinical assessments, and ethnographic work, we track three different ways in which afflictions move between bodies, and the mechanisms at work in asrat healing processes. Rather than a "collectivist" concept of the psyche, we suggest that a key role of shrine-based therapeutic processes is to manage a "suspicion system," related to experiences of psychic and economic injuries and conflict between intimates and kin. Through a multi-sited research design that moves across a leading Sufi shrine, an urban poor neighborhood in Delhi, and one of India's leading psychiatric facilities, we argue that within asrat-related processes, psychic vulnerabilities are addressed by "re-combining" relations through forms of inter-subjective attunement within a smaller segment of the kin group, potentially making symptoms and the burden of care and conflict more livable. We suggest that shrine-based concepts and practices may be cross-culturally significant, even for secular understandings of the inter-subjective dimensions of mental illness.

Adult friendship and wellbeing: A systematic review with practical implications

This study aimed to systematically review research findings regarding the relationship between adult friendship and wellbeing. A multidimensional scope for wellbeing and its components with the use of the PERMA theory was adopted. A total of 38 research articles published between 2000 and 2019 were reviewed. In general, adult friendship was found to predict or at least be positively correlated with wellbeing and its components. In particular, the results showed that friendship quality and socializing with friends predict wellbeing levels. In addition, number of friends, their reactions to their friend's attempts of capitalizing positive events, support of friend's autonomy, and efforts to maintain friendship are positively correlated with wellbeing. Efforts to maintain the friendship, friendship quality, personal sense of uniqueness, perceived mattering, satisfaction of basic psychological needs, and subjective vitality mediated this relationship. However, research findings highlighted several gaps and limitations of the existing literature on the relationship between adult friendship and wellbeing components. For example, for particular wellbeing components, findings were non-existent, sparse, contradictory, fragmentary, or for specific populations only. Implications of this review for planning and implementing positive friendship interventions in several contexts, such as school, work, counseling, and society, are discussed.

A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model

Background

Smartphone addiction (SA) is associated with adverse consequences, especially for freshmen. Evidence indicates that SA is associated with depression, and it is necessary to conduct a longitudinal study to explore the association further.

Methods

SA (measured by the Smartphone Addiction Scale-Short Version) and depression (measured by the Zung's Self-Rating Depression Scale) among 1,186 freshmen were surveyed at baseline and a respective 12-month follow-up for each participant. The application of a cross-lagged panel model approach (CLPM) revealed an association between SA and depression after adjusting for demographic variables.

Results

The CLPM results showed a significant path from baseline SA to follow-up depression (β = 0.08, P < 0.001) and a significant path from baseline depression to follow-up SA (β = 0.08, P < 0.001). Compared with the overall cross-lagged model, the cross-lagged coefficient of the path from baseline SA to follow-up depression increased in the female group (β = 0.10, P = 0.015), and the cross-lagged coefficient of the path from baseline depression to follow-up SA also increased significantly (β = 0.15, P < 0.001). In contrast, the cross-lagged model in the male group showed no predictive effect between SA and depression (P > 0.05).

Conclusions

The current study showed a significant bidirectional association between smartphone addiction and depression among freshmen, but only in the female population.

More friends on SNS, more materialism? The moderating roles of self-esteem and social comparison orientation

On social networking sites, users are continuously exposed to a variety of posts from the networked individuals. Such information may often influence recipients' perceptions of what is important and goal pursuits such as materialism. Even though several studies have examined the negative consequences of using social networking sites, less attention has been paid to the role of friends' number and its impact on people's life goal pursuits. This study aimed to investigate the dark side of online friends and explored why and when more friends in social networking sites would promote materialism. Based on a sample of 264 WeChat users, study 1 discovered that friends' number positively impacted materialism through extrinsic goal (i.e., wealth and status). Additionally, such association was moderated by social comparison orientation and self-esteem. Importantly, self-esteem buffers the detrimental effect of friends' number on materialism while social comparison orientation increases it. Study 2 further tested the causal relationship and showed that friends' number on SNS might become a signal to indicate materialism via an experiment. In conclusion, our findings add to the understanding of psychological processes regarding the dark side of online friends' number and render suggestions for developing positive personal value.

An exploratory study to understand how people use Twitter to share experiences or information about spinal stenosis

BACKGROUND

Spinal stenosis is a narrowing of the spinal canal that may compress neurological tissues resulting in pain and disability. Although previous qualitative studies have solicited data regarding the life experience of patients with spinal stenosis or their opinions on relevant non-surgical treatments, their data was collected from participants in a controlled setting. Therefore, it remains unclear whether patients' or caregivers' concerns/opinions about spinal stenosis would be different in a non-experimental environment. Since Twitter is a popular online platform for people to share information and interact, it may reveal people's thoughts and attitudes about spinal stenosis. This study aimed to identify tweets that are related to spinal stenosis on Twitter, and to categorize them into common themes.

METHODS

A social media monitoring and analysis software program (TalkWalker) was used to search relevant tweets using the keywords 'spinal stenosis' and 'stenosis' between 29 May 2019 and 24 June 2020. Two independent reviewers screened and conducted content analysis of the tweets and classified the tweets into different themes.

RESULTS

Of 510 identified tweets, 362 tweets met the selection criteria. Five themes were identified: (1) compromised physical, psychological, and social wellbeing (n = 173); (2) diverse treatment options (n = 69); (3) coping strategies (n = 30); (4) dissemination of scientific information (n = 86); and (5) health policy (n = 4). Most of the tweets revealed negative impacts of spinal stenosis on patients' physical and psychosocial wellbeing. People with spinal stenosis shared their experiences and sought helps from others, while some people used Twitter to disseminate relevant information and research findings.

CONCLUSIONS

This is the first study exploring Twitter using an online analytical tool to identify themes related to spinal stenosis. The approach not only helps understand people's concerns about spinal stenosis in an uncontrolled environment, but also can be adopted to monitor influences of diseases or public health education on Twitter users.

Associations between emotions expressed in internet news and subsequent emotional content on twitter

We report on the first investigation of large-scale temporal associations between emotions expressed in online news media and those expressed on social media (Twitter). This issue has received little attention in previous research, although the study of emotions expressed on social media has bloomed owing to its importance in the study of mental health at the population level. Relying on automatically emotion-coded data from almost 1 million online news articles on disease and the coronavirus and more than 6 million tweets, we examined such associations. We found that prior changes in generic emotional categories (positive and negative emotions) in the news on the topic of disease were associated with lagged changes in these categories in tweets. Discrete negative emotions did not robustly feature this pattern. Emotional categories coded in online news stories on the coronavirus generally featured weaker and more disparate lagged associations with emotional categories coded in subsequent tweets.

Effects of Small Talk With a Crowd of Virtual Humans on Users' Emotional and Behavioral Responses

In this contribution, we empirically investigated the effect of small talk on the users' non-verbal behaviors and emotions when users interacted with a crowd of virtual humans (VHs) with positive behavioral dispositions. Users were tasked with collecting items in a virtual marketplace via natural speech-based dialogue with a crowd of virtual pedestrians and vendors. The users were able to engage in natural speech-based conversation in a predefined corpus of small talk content that covered various commonplace small talk topics such as conversations about the weather, general concerns, and entertainment based on similar real-life situations. For instance, the VHs with the small talk ability would ask the users some simple questions to make small talk or remind the users of their belongings. We conducted a between-subjects empirical evaluation to investigate whether the user behaviors and emotions were different between a small talk condition and a non-small talk condition, and examined gender effects of the participants. We collected objective and subjective measures of the users to analyze users' emotions and social interaction behaviors, when in conversation with VHs that either possessed small-talk capability or not, besides task or goal oriented dialogue capabilities. Our result revealed that the VHs with small talk capability could alter the emotions and non-verbal behaviors of the users. Furthermore, the non-verbal behaviors between female and male participants differed greatly in the presence or absence of small talk.

Mobile phone addiction and depressive symptoms among Chinese University students: The mediating role of sleep disturbances and the moderating role of gender

Background

With the continuous updating of mobile phone functions, the phenomenon of mobile phone addiction among University students is becoming more and more serious. It is important to identify the potential risk factors for mobile phone addiction. The aim of the study was to examine whether there is a relationship between mobile phone addiction and depression symptoms in University students, and to investigate whether sleep disturbances play a mediating role between mobile phone addiction and depression symptoms, as well as the moderating role of gender.

Methods

A cross-sectional study, carried out between September to December 2021, recruited 973 students (478 males) from seven comprehensive universities in western China. The Mobile Phone Addiction Index (MPAI), the Patient Health Questionnaire-9 (PHQ9), and the Pittsburgh Sleep Quality Index (PSQI) were used to complete measures of mobile phone addiction, depressive symptoms, and sleep disturbances. For statistical analyses, descriptive statistics, correlation, regression, mediation and moderated mediation analyses were used. Furthermore, we tested the mediation model and moderated mediation model using the SPSS macro PROCESS.

Results

In this study, it was found that there were positive correlations between mobile phone addiction and depressive symptoms among Chinese University students. Mediation analyses revealed that this relationship was partially mediated by sleep disturbances, but the mediating role was not moderated by gender.

Conclusion

Sleep disturbances have a partial mediating role in the relationship between mobile phone addiction and depressive symptoms. Our results highlight the critical role of prevention and early identification of mobile phone addiction among University students, especially those with sleep disturbances.

The Transfer Model and Guidance Strategy of Netizens' Emotions

In the context of the COVID-19 pandemic, a large amount of information is gathered on Internet platforms, through which people express their opinions and vent their emotions. Emotional guidance of netizens has become an important part of social governance during turbulences caused by a so-called "infodemic". This study focuses on the evolution and interaction of netizens' emotions after the occurrence of network public opinion events. First, the transfer model of netizens' emotions is constructed, and the significance of each parameter in the model is studied through simulation. Then, based on the model, we put forward the optimization method and quantitative method of guidance strategy of netizens' emotions. Finally, the empirical study proves the effectiveness of the model, which can provide a theoretical basis for the emotional guidance strategies after the outbreak of network public opinion events.

Spontaneously generated online patient experience data - how and why is it being used in health research: an umbrella scoping review

PURPOSE

Social media has led to fundamental changes in the way that people look for and share health related information. There is increasing interest in using this spontaneously generated patient experience data as a data source for health research. The aim was to summarise the state of the art regarding how and why SGOPE data has been used in health research. We determined the sites and platforms used as data sources, the purposes of the studies, the tools and methods being used, and any identified research gaps.

METHODS

A scoping umbrella review was conducted looking at review papers from 2015 to Jan 2021 that studied the use of SGOPE data for health research. Using keyword searches we identified 1759 papers from which we included 58 relevant studies in our review.

RESULTS

Data was used from many individual general or health specific platforms, although Twitter was the most widely used data source. The most frequent purposes were surveillance based, tracking infectious disease, adverse event identification and mental health triaging. Despite the developments in machine learning the reviews included lots of small qualitative studies. Most NLP used supervised methods for sentiment analysis and classification. Very early days, methods need development. Methods not being explained. Disciplinary differences - accuracy tweaks vs application. There is little evidence of any work that either compares the results in both methods on the same data set or brings the ideas together.

CONCLUSION

Tools, methods, and techniques are still at an early stage of development, but strong consensus exists that this data source will become very important to patient centred health research.

Computational Process of Sharing Emotion: An Authentic Information Perspective

Although results of many psychology studies have shown that sharing emotion achieves dyadic interaction, no report has explained a study of the transmission of authentic information from emotional expressions that can strengthen perceivers. For this study, we used computational modeling, which is a multinomial processing tree, for formal quantification of the process of sharing emotion that emphasizes the perception of authentic information for expressers’ feeling states from facial expressions. Results indicated that the ability to perceive authentic information of feeling states from a happy expression has a higher probability than the probability of judging authentic information from anger expressions. Next, happy facial expressions can activate both emotional elicitation and sharing emotion in perceivers, where emotional elicitation alone is working rather than sharing emotion for angry facial expressions. Third, parameters to detect anger experiences were found to be correlated positively with those of happiness. No robust correlation was found between the parameters extracted from this experiment task and questionnaire-measured emotional contagion, empathy, and social anxiety. Results of this study revealed the possibility that a new computational approach contributes to description of emotion sharing processes.

Spread of Negative Affect via Social Media: The Affective Consequences of Viewing Others’ Fortunate and Unfortunate Social Media Posts

Research suggests that viewing successful or fortunate others’ social media portrayals may promote a more negative hedonic experience via social comparison tendencies, but this notion has rarely been tested experimentally. Here, we tested the possibility that viewing fortunate and unfortunate social media portrayals (vs. neutral portrayals) may also promote a negative hedonic experience. In Experiment 1, participants indicated their positive and negative affect before and after viewing either fortunate, unfortunate, or mundane (neutral) social media portrayals. Inconsistent with conventional theorizing, only participants who viewed the unfortunate portrayal reported more negative affect balance than participants who viewed the neutral portrayal. Experiment 2 provided conceptually similar results, indicating that participants viewing an unfortunate (vs. fortunate) portrayal indicated more negative affect balance. Although somewhat inconsistent with conventional wisdom, the findings suggest negative hedonic experiences can spread on social media.

The Relationship Between Social Media Digitalization and Coronavirus Disease 2019 Fear Among Service Sector Employees

In the age of digitalization, social media has played a significant role in quickly spreading the news about current affairs. From December 2019 to now, coronavirus disease 2019 (COVID-19), with its several mutated shapes, has more transmissible potential catastrophe and has become a severe phenomenon issue worldwide. The international spread of the epidemic has created fear among people, especially employees working physically in different organizations. The present research aimed to measure the impact of social media on its users in the China. The social media users more often were influenced by shocking news instructively and destructively. The research analysis was based on service sector employees and data collected from 630 respondents via a structured questionnaire. This research was confirmed the negative impact of fear on social media on the performance of employees. This research was also confirmed the moderation impact of the COVID-19 vaccine on the relationship between social media fear and employee performance. This research recommends that the China Censor Board checked the news and its validity to reduce the fear of COVID-19 among employees. This research will become a roadmap for organizations and media controllers to understand the impact of social media during an intense situation. The telecommunication sector will reduce psychological disease and enhance the work capability of employees by controlling unnecessary and unapproved material about sensitive issues.

Emotional Contagion in the Online Depression Community

Negative emotions are prevalent in the online depression community (ODC), which potentially puts members at risk, according to the theory of emotional contagion. However, emotional contagion in the ODC has not been confirmed. The generalized estimating equation (GEE) was used to verify the extent of emotional contagion using data from 1548 sample users in China's popular ODC. During interaction, the emotional themes were analyzed according to language use. The diurnal patterns of the interaction behaviors were also analyzed. We identified the susceptible groups and analyzed their characteristics. The results confirmed the occurrence of emotional contagion in ODC, that is, the extent to which the user's emotion was affected by the received emotion. Our study also found that when positive emotional contagion occurred, the replies contained more hopefulness, and when negative emotional contagion occurred, the replies contained more hopelessness and fear. Second, positive emotions were easier to spread, and people with higher activity in ODC were more susceptible. In addition, nighttime was an active period for user interaction. The results can help community managers and support groups take measures to promote the spread of positive emotions and reduce the spread of negative emotions.

Blocking and being blocked on gay dating apps among MSM attending a sexual health clinic: an observational study

Background

There are limited studies on blocking and men who have sex with men (MSM) health outcomes. We need such data in China, to better understand the relationship between Chinese MSM gay app use and health outcomes, thus providing insight on risky sexual behaviors and HIV transmission among Chinese MSM - one of the world’s largest MSM communities. Blocking someone is when users select a function on an app to prevent another user from contacting them and being blocked is when someone is prevented from contacting another user. We studied the correlates of blocking on the world’s largest gay dating app among Chinese MSM (N = 208).

Methods

We conducted a cross-sectional survey as part of an HIV testing intervention in Guangzhou, China, May–December 2019. Using logistic regression models, we estimated the correlates of blocking (e.g. sociodemographic characteristics, sexual behavior, HIV testing history, social network data).

Results

MSM had a mean age of 27.9 years (SD = 7.1) and median of one sexual partner in the last 3 months. About 62% had blocked someone in their lifetime and 46% had been blocked in their lifetime. Each additional male partner was associated with an 87% (aOR = 1.87, 95%CI = 1.03, 3.40) increased chance of being blocked. Reporting a versatile sexual role was related with a 90% (aOR = 0.10, 95%CI = 0.02, 0.45) decreased likelihood of blocking behavior and an 86% (aOR = 0.14, 95%CI = 0.04, 0.46) reduced chance of being blocked.

Conclusions

Number of male partners may be associated with blocking behavior, with implications for the design of online sexual health interventions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12182-w.

Spontaneously Generated Online Patient Experience of Modafinil: A Qualitative and NLP Analysis

Objective: To compare the findings from a qualitative and a natural language processing (NLP) based analysis of online patient experience posts on patient experience of the effectiveness and impact of the drug Modafinil.

Methods: Posts (n = 260) from 5 online social media platforms where posts were publicly available formed the dataset/corpus. Three platforms asked posters to give a numerical rating of Modafinil. Thematic analysis: data was coded and themes generated. Data were categorized into PreModafinil, Acquisition, Dosage, and PostModafinil and compared to identify each poster's own view of whether taking Modafinil was linked to an identifiable outcome. We classified this as positive, mixed, negative, or neutral and compared this with numerical ratings. NLP: Corpus text was speech tagged and keywords and key terms extracted. We identified the following entities: drug names, condition names, symptoms, actions, and side-effects. We searched for simple relationships, collocations, and co-occurrences of entities. To identify causal text, we split the corpus into PreModafinil and PostModafinil and used n-gram analysis. To evaluate sentiment, we calculated the polarity of each post between −1 (negative) and +1 (positive). NLP results were mapped to qualitative results.

Results: Posters had used Modafinil for 33 different primary conditions. Eight themes were identified: the reason for taking (condition or symptom), impact of symptoms, acquisition, dosage, side effects, other interventions tried or compared to, effectiveness of Modafinil, and quality of life outcomes. Posters reported perceived effectiveness as follows: 68% positive, 12% mixed, 18% negative. Our classification was consistent with poster ratings. Of the most frequent 100 keywords/keyterms identified by term extraction 88/100 keywords and 84/100 keyterms mapped directly to the eight themes. Seven keyterms indicated negation and temporal states. Sentiment was as follows 72% positive sentiment 4% neutral 24% negative. Matching of sentiment between the qualitative and NLP methods was accurate in 64.2% of posts. If we allow for one category difference matching was accurate in 85% of posts.

Conclusions: User generated patient experience is a rich resource for evaluating real world effectiveness, understanding patient perspectives, and identifying research gaps. Both methods successfully identified the entities and topics contained in the posts. In contrast to current evidence, posters with a wide range of other conditions found Modafinil effective. Perceived causality and effectiveness were identified by both methods demonstrating the potential to augment existing knowledge.

Stop that! It's not Tourette's but a new type of mass sociogenic illness

We report the first outbreak of a new type of mass sociogenic illness that in contrast to all previously reported episodes is spread solely via social media. Accordingly, we suggest the more specific term ‘mass social media-induced illness’.

In Germany, the current outbreak of mass social media-induced illness is initiated by a ‘virtual’ index case, who is the second most successful YouTube creator in Germany and enjoys enormous popularity among young people. Affected teenagers present with similar or identical functional ‘Tourette-like’ behaviours, which can be clearly differentiated from tics in Tourette syndrome.

Functional ‘Tourette-like’ symptoms can be regarded as the ‘modern’ form of the well-known motor variant of mass sociogenic illness. Moreover, they can be viewed as the 21st century expression of a culture-bound stress reaction of our post-modern society emphasizing the uniqueness of individuals and valuing their alleged exceptionality, thus promoting attention-seeking behaviours and aggravating the permanent identity crisis of modern man. We wish to raise awareness of the current global Tourette-like mass social media-induced illness outbreak. A large number of young people across different countries are affected, with considerable impact on health care systems and society as a whole, since spread via social media is no longer restricted to specific locations such as local communities or school environments spread via social media is no longer restricted to specific locations such as schools or towns.

From Network Positions to Language Use: Understanding the Effects of Brokerage and Closure Structures from a Linguistic Perspective

We investigated cancer survivors' interactions on an online breast cancer support forum, focusing on how the network structures of brokerage and closure relate to the types of support received and to the language used in posts. Data came through the extraction of 1,443 forum members' online networks. Automated linguistic analysis was carried out on the 27,248 threads these survivors made and the 336,151 replies they received. Survivors' brokerage and closure levels were positively correlated with the use of positive affective words in their posts, a linguistic marker of well-being. Different network positions fostered different types of support in the community. Specifically, people bridging unconnected users (the broker role) were more likely to receive informational support whereas people in closely knit groups (the closure role) were more likely to receive emotional support. Theoretical, methodological, and practical implications are examined.

Ensuring patient and public involvement in the transition to AI-assisted mental health care: A systematic scoping review and agenda for design justice

Background

Machine‐learning algorithms and big data analytics, popularly known as ‘artificial intelligence’ (AI), are being developed and taken up globally. Patient and public involvement (PPI) in the transition to AI‐assisted health care is essential for design justice based on diverse patient needs.

Objective

To inform the future development of PPI in AI‐assisted health care by exploring public engagement in the conceptualization, design, development, testing, implementation, use and evaluation of AI technologies for mental health.

Methods

Systematic scoping review drawing on design justice principles, and (i) structured searches of Web of Science (all databases) and Ovid (MEDLINE, PsycINFO, Global Health and Embase); (ii) handsearching (reference and citation tracking); (iii) grey literature; and (iv) inductive thematic analysis, tested at a workshop with health researchers.

Results

The review identified 144 articles that met inclusion criteria. Three main themes reflect the challenges and opportunities associated with PPI in AI‐assisted mental health care: (a) applications of AI technologies in mental health care; (b) ethics of public engagement in AI‐assisted care; and (c) public engagement in the planning, development, implementation, evaluation and diffusion of AI technologies.

Conclusion

The new data‐rich health landscape creates multiple ethical issues and opportunities for the development of PPI in relation to AI technologies. Further research is needed to understand effective modes of public engagement in the context of AI technologies, to examine pressing ethical and safety issues and to develop new methods of PPI at every stage, from concept design to the final review of technology in practice. Principles of design justice can guide this agenda.

Gratitude and Social Media: A Pilot Experiment on the Benefits of Exposure to Others' Grateful Interactions on Facebook

Facebook and other social networking sites allow observation of others’ interactions that in normal, offline life would simply be undetectable (e.g., a two-voice conversation viewable on the Facebook wall, from the perspective of a real, silent witness). Drawing on this specific property, the theory of social learning, and the most direct implications of emotional contagion, our pilot experiment (N = 49) aimed to test whether the exposure to others’ grateful interactions on Facebook enhances (a) users’ felt gratitude, (b) expressed gratitude, and (c) their subjective well-being. For the threefold purpose, we created ad hoc Facebook groups in which the exposure to some accomplices’ exchange of grateful messages for 2 weeks was experimentally manipulated and users’ felt/expressed gratitude and well-being were consequently assessed. Results partially supported both hypotheses. Observing others’ exchange of grateful posts/comments on Facebook appeared to enhance participants’ in-person expression of gratitude (i.e., self-reported gratitude expression within face-to-face interactions), but not their direct and subjective experiences of gratitude. Similarly, exposure to others’ grateful messages improved some components of subjective well-being, such as satisfaction with life, but not negative and positive affect. Taken together, however, our preliminary findings suggest for the first time that social networking sites may actually amplify the spreading of gratitude and its benefits. Implications of our results for professionals and future research in the field of health, education, and social media communication are discussed.

Social network theory-an underutilized opportunity to align innovative methods with the demands of the opioid epidemic

It has been almost 3 years since the opioid epidemic was declared a national public health emergency under federal law. Solutions have focused on supply-reduction strategies. These approaches, however, have failed to significantly curtail opioid overdose and related death. Demand for opioid use arising from social networks and environment is an important contributing factor to the current opioid epidemic. Adoption of existing underused methods is needed to drive further progress. This Perspective proposes the social contagion model as a promising framework through which to operationalize evaluation of the influence of social networks and environment in the opioid epidemic and argues for its greater application. Comparing the current epidemic with previous opioid epidemics reiterates the utility of the social contagion model. This model acknowledges social network influence on individual behavior. It leverages tools from epidemiology, permits evaluation of interpersonal influence, facilitates consideration of disproportionate and collateral effects, and overcomes limitations of traditional models and geographic assumptions inherent to many approaches surrounding the current opioid epidemic. Analyzing the opioid epidemic within a social contagion framework will enhance evaluation methods and enable the design of interventions to reflect the actual demands of the current crisis. If the influence of social networks and environment is not considered, the devastating toll of the opioid epidemic could grow.

Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary

Lexical phenomena, such as clusters of words, disseminate through social networks at different rates but most models of diffusion focus on the discrete adoption of new lexical phenomena (i.e. new topics or memes). It is possible much of lexical diffusion happens via the changing rates of existing word categories or concepts (those that are already being used, at least to some extent, regularly) rather than new ones. In this study we introduce a new metric, contrastive lexical diffusion (CLD) coefficient, which attempts to measure the degree to which ordinary language (here clusters of common words) catch on over friendship connections over time. For instance topics related to meeting and job are found to be sticky, while negative thinking and emotion, and global events, like ‘school orientation’ were found to be less sticky even though they change rates over time. We evaluate CLD coefficient over both quantitative and qualitative tests, studied over 6 years of language on Twitter. We find CLD predicts the spread of tweets and friendship connections, scores converge with human judgments of lexical diffusion (r=0.92), and CLD coefficients replicate across disjoint networks (r=0.85). Comparing CLD scores can help understand lexical diffusion: positive emotion words appear more diffusive than negative emotions, first-person plurals (we) score higher than other pronouns, and numbers and time appear non-contagious.

The coping insights involved in strengthening resilience: The Self-Reflection and Coping Insight Framework

BACKGROUND

Recent theoretical work suggests that self-reflection on daily stressors and the efficacy of coping strategies and resources is beneficial for the enhancement of resilient capacities. However, coping insights emerging from self-reflection, and their relationship to resilient capacities, is an existing gap in our understanding.

OBJECTIVES

Given that insights come in many forms, the objective of this paper is to delineate exemplar coping insights that strengthen the capacity for resilience.

METHODS

After providing an overview of self-reflection and insight, we extend the Systematic Self-Reflection model of resilience strengthening by introducing the Self-Reflection and Coping Insight Framework to articulate how the emergence of coping insights may mediate the relationship between five self-reflective practices and the enhancement of resilient capacities.

RESULTS

We explore the potential for coping insights to convey complex ideas about the self in the context of stressor exposure, an awareness of response patterns to stressors, and principles about the nature of stress and coping across time and contexts.

CONCLUSIONS

This framework adds to existing scholarship by providing a characterization of how coping insight may strengthen resilient capacities, allowing for a guided exploration of coping insight during future research.

Is Fear of COVID-19 Contagious? The Effects of Emotion Contagion and Social Media Use on Anxiety in Response to the Coronavirus Pandemic

The novel coronavirus disease (COVID-19) has become a global pandemic, causing substantial anxiety. One potential factor in the spread of anxiety in response to a pandemic threat is emotion contagion, the finding that emotional experiences can be socially spread through conscious and unconscious pathways. Some individuals are more susceptible to social contagion effects and may be more likely to experience anxiety and other mental health symptoms in response to a pandemic threat. Therefore, we studied the relationship between emotion contagion and mental health symptoms during the COVID-19 pandemic. We administered the Emotion Contagion Scale (ESC) along with a measure of anxiety in response to COVID-19 (modified from a previous scale designed to quantify fear of the Swine Flu outbreak) and secondary outcome measures of depression, anxiety, stress, and obsessive-compulsive disorder (OCD) symptoms. These measures were completed by a large (n = 603) student sample in the United States. Data were collected in the months of April and May of 2020 when the fear of COVID-19 was widespread. Results revealed that greater susceptibility to emotion contagion was associated with greater concern about the spread of COVID-19, more depression, anxiety, stress, and OCD symptoms. Consumption of media about COVID-19 also predicted anxiety about COVID-19, though results were not moderated by emotion contagion. However, emotion contagion did moderate the relationship between COVID-19-related media consumption and elevated OCD symptoms. Although limited by a cross-sectional design that precludes causal inferences, the present results highlight the need for study of how illness fears may be transmitted socially during a pandemic.

Media Exposure and Post-traumatic Stress Symptoms in the Wake of the November 2015 Paris Terrorist Attacks: A Population-Based Study in France

The intense mass media coverage of the Paris terrorist attacks on November 13, 2015 exposed a majority of the French population to the attacks. Prior research has documented the association between media exposure to terrorism and post-traumatic stress symptoms (PTSS). The present study replicated and extended these findings in a French sample. A population-based sample (N = 1,760) was drawn from a national web-enabled panel in June 2016. Hours of attack-related media exposure (i.e., TV-watching, viewing internet images, engaging in social media exchanges) in the 3 days following the attacks were assessed. Multivariate regression models, adjusting for gender, age, direct exposure (i.e., witnessing in person or knowing someone injured or killed), residential area, social support, pre-attack mental health service utilization, and other adverse life events, examined the association between media exposure and PTSS (assessed using the self-report PCL-5). Compared to those reporting less than 2 hours of daily attack-related television exposure, those reporting 2-4 hours (β = 3.1, 95% CI = 0.8-5.3) or >4 hours (β = 4.7, 95% CI = 2.0-7.4) of media exposure reported higher attack-related PTSS. This finding was replicated with social media use: those with moderate (β = 3.2, 95% CI = 0.9-5.5) or high (β = 6.8, 95% CI = 1.9-11.7) use reported higher PTSS than those reporting no use. Subanalyses demonstrated that media exposure and PTSS were not associated in those directly exposed to the attacks. Results highlight the potential public health risk of extensive mass media exposure to traumatic events.

Social Media Exposure, Psychological Distress, Emotion Regulation, and Depression During the COVID-19 Outbreak in Community Samples in China

The outbreak of coronavirus disease 2019 (COVID-19) has been a global emergency, affecting millions of individuals both physically and psychologically. The present research investigated the associations between social media exposure and depression during the COVID-19 outbreak by examining the mediating role of psychological distress and the moderating role of emotion regulation among members of the general public in China. Participants (N = 485) completed a set of questionnaires online, including demographic information, self-rated physical health, and social media exposure to topics related to COVID-19. The Impact of Event Scale-Revised (IES-R), the Beck Depression Inventory-II (BDI-II), and the Emotion Regulation Questionnaire (ERQ) were utilized to measure psychological distress about COVID-19, depression, and emotion regulation strategies, respectively. Results found that older age and greater levels of social media exposure were associated with more psychological distress about the virus (r = 0.14, p = 0.003; r = 0.22, p < 0.001). Results of the moderated mediation model suggest that psychological distress mediated the relationship between social media exposure and depression (β = 0.10; Boot 95% CI = 0.07, 0.15). Furthermore, expressive suppression moderated the relationship between psychological distress and depression (β = 0.10, p = 0.017). The findings are discussed in terms of the need for mental health assistance for individuals at high risk of depression, including the elderly and individuals who reported greater psychological distress and those who showed preference usage of suppression, during the COVID-19 crisis.

The Effect of Concerns About COVID-19 on Anxiety, Stress, Parental Burnout, and Emotion Regulation: The Role of Susceptibility to Digital Emotion Contagion

Background and aims: The COVID-19 pandemic has caused social and economic turmoil, which has led to enormous strain for many families. Past work with pandemic outbreaks suggests that media attention can increase anxiety and compensatory behaviors. Social isolation can lead to increase in online communication and parents who use social media may be affected by other people's emotions online through what is known as digital emotion contagion (DEC). The current study aimed to examine the role of DEC in the relationship between stress, concern about COVID-19, parental burnout and emotion regulation (ER). Methods: In April 2020, an online survey was advertised in Social Media Parenting Groups and published on FIU Psychology online research system SONA. Data were analyzed using correlational analysis, linear and multiple linear regression, and moderation analysis. Results: Concern about COVID-19 predicted stress, depression, and parental burnout. Susceptibility to DEC significantly increased the impact of stress on parental burnout. Having relatives infected with COVID-19 increased the effect of DEC on parental burnout. A higher level of ER buffered the relationship between emotion contagion and concern about COVID-19. Conclusion: These findings suggest that susceptibility to digital emotion contagion may have a negative effect on parents. Digital emotion contagion may increase parental burnout and is tied to stress.

Nudges, Norms, or Just Contagion? A Theory on Influences on the Practice of (Non-)Sustainable Behavior

‘Nudging’ symbolizes the widespread idea that if people are only provided with the ‘right’ options and contextual arrangements, they will start consuming sustainably. Opposite to this individual-centered, top-down approach stand observations highlighting the ‘contagiousness’ of thoughts, emotions, and behaviors of reference groups or persons present in a decision-context. Tying in these two lines, this paper argues that nudging may sound promising and easily applicable, yet the social dynamics occurring around it can easily distort or nullify its effects. This argument stems from empirical evidence gained in an exploratory observation study conducted in a Swedish cafeteria (N = 1073), which included a ‘nudging’ treatment. In the study, people in groups almost unanimously all chose the same options. After rearranging the choice architecture to make a potentially sustainable choice easier, people stuck to this mimicking behavior—while turning to choose more the non-intended option than before. A critical reflection of extant literature leads to the conclusion that the tendency to mimic each other (unconsciously) is so strong that attempts to nudge people towards certain choices appear overwhelmed. Actions become ‘contagious’; so, if only some people stick to their (consumption) habits, it may be hard to induce more sustainable behaviors through softly changing choice architectures.

Social Bots' Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on Twitter

During the COVID-19 pandemic, when individuals were confronted with social distancing, social media served as a significant platform for expressing feelings and seeking emotional support. However, a group of automated actors known as social bots have been found to coexist with human users in discussions regarding the coronavirus crisis, which may pose threats to public health. To figure out how these actors distorted public opinion and sentiment expressions in the outbreak, this study selected three critical timepoints in the development of the pandemic and conducted a topic-based sentiment analysis for bot-generated and human-generated tweets. The findings show that suspected social bots contributed to as much as 9.27% of COVID-19 discussions on Twitter. Social bots and humans shared a similar trend on sentiment polarity—positive or negative—for almost all topics. For the most negative topics, social bots were even more negative than humans. Their sentiment expressions were weaker than those of humans for most topics, except for COVID-19 in the US and the healthcare system. In most cases, social bots were more likely to actively amplify humans’ emotions, rather than to trigger humans’ amplification. In discussions of COVID-19 in the US, social bots managed to trigger bot-to-human anger transmission. Although these automated accounts expressed more sadness towards health risks, they failed to pass sadness to humans.

Isolation but Diffusion? A Structural Account of Depression Clustering among Adolescents

Depression can cause people to withdraw from friendships or be avoided by others, protecting others from exposure to that depression. Yet, researchers observe depression contagion, particularly among adolescents. We address this empirical puzzle by examining the role of gender in structuring friendship networks and the implications for isolation and the spreading of depression. Using stochastic actor-based models of friendships among 421 adolescents from mixed-gender, all-girls, and all-boys classrooms in six Taiwanese high schools, we find that networks with only girls are characterized by high reciprocity and low transitivity. This, in turn, facilitates the withdrawal of depressed girls from interactions. In contrast, networks with all boys create more opportunities for depression to spread through interconnected pathways. Our computational experiment further demonstrates that local preferences governing friendship choice influence levels of network connectivity. This, coupled with depression withdrawal and peer influence, shapes depression prevalence at the network level. These findings refine our understanding of the mechanisms through which friendships expose boys and girls unequally to health risks of depression.

How Adolescents Use Social Media to Cope with Feelings of Loneliness and Anxiety During COVID-19 Lockdown

Next to physical health problems and economic damage, the coronavirus disease 2019 (COVID-19) pandemic and associated lockdown measures taken by governments of many countries are expected to cause mental health problems. Especially for adolescents, who highly rely on social contacts with peers, the prolonged period of social isolation may have detrimental effects on their mental health. Based on the mood management theory, the current study examines if social media are beneficial for adolescents to cope with feelings of anxiety and loneliness during the quarantine. A survey study among 2,165 (Belgian) adolescents (13-19 years old) tested how feelings of anxiety and loneliness contributed to their happiness level, and whether different social media coping strategies (active, social relations, and humor) mediated these relations. Structural equation modeling revealed that feelings of loneliness had a higher negative impact on adolescents' happiness than feelings of anxiety. However, anxious participants indicated to use social media more often to actively seek for a manner to adapt to the current situation, and to a lesser extent as a way to keep in touch with friends and family. The indirect effect of anxiety on happiness through active coping was significantly positive. Participants who were feeling lonely were more inclined to use social media to cope with lacking social contact. However, this coping strategy was not significantly related to their happiness feelings. Humorous coping was positively related with feelings of happiness, but not influenced by loneliness or anxiety. To conclude, social media can be used as a constructive coping strategy for adolescents to deal with anxious feelings during the COVID-19 quarantine.

Network Structure of Affective Communication and Shared Emotion in Teams

This paper identifies the relative effectiveness of two mechanisms of emotional contagion on shared emotion in teams: explicit mechanism (active spreading of one’s emotion) and implicit mechanism (passive mimicry of others’ emotion). Using social network analysis, this paper analyzes affective communication networks involving or excluding a focal person in the process of emotional contagion by disaggregating team emotional contagion into individual acts of sending or receiving emotion-laden responses. Through an experiment with 38 pre-existing work teams, including undergraduate or MBA project teams and teams of student club or co-op officers, we found that the explicit emotional contagion mechanism was a more stable channel for emotional contagion than the implicit emotional contagion mechanism. Active participation in affective communication, measured by outdegree centrality in affective communication networks, was positively and significantly associated with emotional contagion with other members. In contrast, a team member’s passive observation of humor, measured by ego network density, led to emotional divergence when all other members engaged in humor communication. Our study sheds light on the micro-level process of emotional contagion. The individual-level process of emotional convergence varies with the relational pattern of affective networks, and emotion contagion in teams depends on the interplay of the active expresser and the passive spectator in affective networks.

Rethinking the Role of Affect in Risk Judgment: What We Have Learned From COVID-19 During the First Week of Quarantine in Italy

Due to COVID-19 spreading in Italy, on March 11 the Prime Minister of Italy declared a lockdown and imposed severe restrictive measures impacting citizens’ freedom at several levels. People were required to stay at home and go out only to satisfy basic needs. Several risk models have postulated a link among online searching behavior, affect, anxiety, and complaints by individuals toward government restrictions (GR), which emerged as also related to an increased perception of knowledge toward risk. However, to date, no study has addressed how these key risk-related aspects (i.e., affect, anxiety, perceived knowledge on risk, and risk dimensions) can act jointly to orient online health information-seeking behavior, and people’s complaints toward GR imposed during the lockdown. This study investigated the mechanisms underlying online health information-seeking behavior and people’s complaints toward the government’s restrictions during a COVID-19 emergency in the Italian population. Drawing from the health belief model (HBM), which postulates a link between sociodemographic variables, risk, and affect dimensions in emergency, we assumed risk factors as predictors of affect and anxiety, which, in turn, were posited as mediators between risk dimensions, online health information-seeking behavior, and complaints toward GR. Participants (1,031) were involved during the first week of the quarantine (March 11–18) and completed an online survey composed of (i) an adapted version of the Italian Risk Perception Questionnaire; (ii) the Italian Positive (PA) and Negative Affect (NA) Schedule (PANAS-10); (iii) the State Anxiety Scale (STAI-Y1); (iv) ad hoc personal knowledge measure about novel coronavirus; (v) ad hoc item measuring information search behavior regarding the novel coronavirus; (vi) ad hoc measure of the complains regarding GR; and (vii) sociodemographic questions. General linear models and structural equation modeling (SEM) were carried out to test the model. Sociodemographic and cognitive factors predicted the participants’ affect and anxiety, which, in turn, motivated and fully mediated both information search behavior and complaint toward GR. This research can offer useful suggestions for policy-makers during the COVID-19 emergency, and it advanced the knowledge on the risk–emotion link in emergency situations.

Interdependence and the cost of uncoordinated responses to COVID-19

Social distancing is the core policy response to coronavirus disease 2019 (COVID-19). But, as federal, state and local governments begin opening businesses and relaxing shelter-in-place orders worldwide, we lack quantitative evidence on how policies in one region affect mobility and social distancing in other regions and the consequences of uncoordinated regional policies adopted in the presence of such spillovers. To investigate this concern, we combined daily, county-level data on shelter-in-place policies with movement data from over 27 million mobile devices, social network connections among over 220 million Facebook users, daily temperature and precipitation data from 62,000 weather stations, and county-level census data on population demographics to estimate the geographic and social network spillovers created by regional policies across the United States. Our analysis shows that the contact patterns of people in a given region are significantly influenced by the policies and behaviors of people in other, sometimes distant, regions. When just one-third of a state's social and geographic peer states adopt shelter-in-place policies, it creates a reduction in mobility equal to the state's own policy decisions. These spillovers are mediated by peer travel and distancing behaviors in those states. A simple analytical model calibrated with our empirical estimates demonstrated that the "loss from anarchy" in uncoordinated state policies is increasing in the number of noncooperating states and the size of social and geographic spillovers. These results suggest a substantial cost of uncoordinated government responses to COVID-19 when people, ideas, and media move across borders.

Corona and value change. The role of social media and emotional contagion

People share their emotions on social media and evidence suggests that in times of crisis people are especially motivated to post emotional content. The current Coronavirus pandemic is such a crisis. The online sharing of emotional content during the Coronavirus crisis may contribute to societal value change. Emotion sharing via social media could lead to emotional contagion which in turn could facilitate an emotional climate in a society. In turn, the emotional climate of a society can influence society's value structure. The emotions that spread in the current Coronavirus crisis are predominantly negative, which could result in a negative emotional climate. Based on the dynamic relations of values to each other and the way that emotions relate to values, a negative emotional climate can contribute to societal value change towards values related to security preservation and threat avoidance. As a consequence, a negative emotional climate and the shift in values could lead to a change in political attitudes that has implications for rights, freedom, privacy and moral progress. Considering the impact of social media in terms of emotional contagion and a longer-lasting value change is an important perspective in thinking about the ethical long-term impact of social media technology.

Neuromarketing as an Emotional Connection Tool Between Organizations and Audiences in Social Networks. A Theoretical Review

Currently, there is an important debate on how social networks have affected relations between organizations and their audiences: originally complementary –since organizations had full control over the messages that they sent to users, who were mere consumers of information–, they are now symmetric –since users produce and disseminate information about organizations on a global scale through social media–. Therefore, one of the main concerns of organizations when investing in social networks is to connect with their target audience, to have virality, greater visibility and scope. Likewise, neuromarketing is gaining significant importance when it comes to predicting user behavior through biometric measurements, so it can be an essential tool for developing content that engages organizations and their audiences. The main objective of this work is to conduct a theoretical review of the main scientific research on the effectiveness of neuromarketing as a tool to improve the emotional connection between organizations and users in social networks. Thus, the scientific literature on the object under study available on the Web Of Science has been extensively reviewed. The results of the analysis of the main researches in this field reveal the importance of neuromarketing: some of them agree that the communicative effectiveness between organizations and audiences in social networks depends more on sociology and psychology than on technology itself. Neuromarketing has also allowed to demonstrate the relevance of the so-called social influence in social networks: users tend to imitate the behaviors of others, under the premise that these actions reflect the appropriate procedure. That is, when a user sees that others in their environment comment or share a post, they tend to replicate that action in order to avoid the fear of being the only one who behaves differently.