Search Results (14)

Understanding the dynamics of public opinion formation in digital environments is crucial for managing technological communications effectively. This study investigates stance interactions and opinion reversal phenomena in technical discourse through analysis of the Manus AI controversy that generated approximately 36,932 social media interactions during March 2025. Employing an integrated methodology combining Large Language Model (LLM)-enhanced stance detection with agent-based modeling (ABM), we reveal distinctive patterns challenging traditional public opinion theories. Our cross-correlation analysis identifies significant lagged interaction effects between skeptical and supportive stances, demonstrating how critical expressions trigger amplified counter-responses rather than inducing silence. Unlike prior conceptualizations of counter-silencing that emphasize ideological resistance or echo chambers, our notion of the “counter-spiral of silence” specifically highlights lagged emotional responses and reactive amplification triggered by minority expressions in digital technical discourse. We delineate its boundary conditions as arising under high emotional salience, asymmetrical expertise, and platform structures that enable real-time feedback. The agent-based simulation reproduces empirical patterns, revealing how emotional contagion and network clustering mechanisms generate “counter-spiral of silence” phenomena where challenges to dominant positions ultimately strengthen rather than weaken those positions. These findings illuminate how cognitive asymmetries between public expectations and industry realities create distinctive discourse patterns in technical contexts, offering insights for managing technology communication and predicting public response trajectories in rapidly evolving digital environments. Full article

In recent years, the frequent occurrence of public emergencies has often triggered the rapid spread and amplification of social emotions. The accumulation and intensification of negative emotions can lead to collective behaviors and even pose a threat to social stability. To better understand the formation and evolution of social emotions in such contexts, this study constructs a theoretical framework and simulation approach that combines opinion dynamics with emotional and trust interactions. First, we propose a clustering method that incorporates emotional similarity and trust relationships among users to delineate group structures involved in social emotion formation. Second, a dynamic trust adjustment mechanism is also proposed to capture how trust evolves as individuals interact emotionally. Third, a large-scale group emotional consensus decision-making approach, based on the DeGroot model, is developed to simulate how emotional exchanges and resonance drive groups toward consensus in public emergencies. Additionally, we present a strategy for guiding emotional interactions to reach a desired consensus that ensures minimal modifications to collective preference values while achieving an acceptable consensus level, helping to manage emotional escalation. To validate the proposed model, we conduct simulations using the “Fat Cat” incident as a case study. The results reveal key mechanisms underlying social emotion formation during public emergencies and highlight critical influencing factors, including user participation, opinion leader influence, and trust relationships. This study provides a clear understanding of how social emotions are generated and offers practical insights for managing emotional dynamics and improving group decision-making during crises. Full article

This article presents the development of a serious game designed to help individuals improve their ability to relax and self-regulate, with a particular focus on children. Additionally, the game has the potential to become an effective tool for intervention in individuals with Attention Deficit Hyperactivity Disorder (ADHD) due to its integration of critical elements for measuring attention levels. These include omission errors, commission errors, response times, standard deviations of response times, and other relevant variables. The game allows control through electroencephalographic (EEG) signals, using alpha wave modulation and blinking as interaction methods. The amplification of alpha wave amplitude is associated with states of relaxation and mental tranquility, indicating that their modulation could potentially mitigate anxiety and enhance emotional self-regulation. The game’s primary objective is to encourage participants to attain relaxing mental states by overcoming challenges as they progress. In order to achieve this, the game’s development necessitated a comprehensive understanding of EEG signal processing, a crucial aspect meticulously explored in this article. In addition, this paper presents the results of alpha wave and flicker detection, along with a performance analysis that demonstrates satisfactory results. Subsequently, the game was assessed with children to evaluate its effectiveness, facilitating a comprehensive analysis of various performance parameters. The findings indicate that the game facilitates the gradual improvement of participants’ skills with each iteration, notably enhancing their capacity to achieve a state of relaxation. Full article

This paper examines the influence of emotions on political polarization, looking at online propagation of conspiracy thinking by extreme right movements in Southern Europe. Integrating insights from psychology, political science, media studies, and system theory, we propose the ‘polarization loop’, a causal mechanism explaining the cyclical relationship between extreme messages, emotional engagement, media amplification, and societal polarization. We illustrate the utility of the polarization loop observing the use of the Great Replacement Theory by extreme right movements in Italy, Portugal, and Spain. We suggest possible options to mitigate the negative effects of online polarization in democracy, including public oversight of algorithmic decission-making, involving social science and humanities in algorithmic design, and strengthening resilience of citizenship to prevent emotional overflow. We encourage interdisciplinary research where historical analysis can guide computational methods such as Natural Language Processing (NLP), using Large Language Models fine-tunned consistently with political science research. Provided the intimate nature of emotions, the focus of connected research should remain on structural patterns rather than individual behavior, making it explicit that results derived from this research cannot be applied as the base for decisions, automated or not, that may affect individuals. Full article

The smellscape of garden plants plays a crucial role in promoting human well-being. Despite this, empirical data on the specific effects of distinct stimulation methods on public health remain insufficient. The objective of this research is to investigate the influence of three distinct sensory modalities, olfactory, visual, and their combined effect, on both physiological and psychological reactions to a pine forest’s smellscape. A sample of 95 college students was selected, with data collected through both physiological and psychological measurements. The analysis focused on variables such as blood pressure (BP), pulse rate (P), pulse pressure (PP), skin conductance (SC), brainwave patterns (α, β), the odor emotion semantic differential (SD), and the State Anxiety Inventory (S-AI) scale. The results reveal that in the pine forest aroma environment, the central nervous system shows a compromise effect during olfactory–visual interaction, with greater autonomic nervous system (ANS) activation compared with either stimulus alone, suggesting cumulative effects. Psychologically, the influence of olfactory interaction on anxiety fell between that of visual and olfactory stimulation. Participants consistently reported that the combination of both the sight and scent of a pine forest was the most invigorating. Furthermore, research revealed that combining olfactory and visual stimuli led to a more profound amplification of positive environmental perceptions compared with when each sense was engaged individually. These findings lay the groundwork for understanding how garden plant aromas contribute to human well-being. Full article

The unprecedented wildfires of 2017 in Portugal, particularly affecting the Centre Region, resulted in more than 100 deaths and numerous other dramatic socioeconomic and environmental impacts. Due to the unparalleled magnitude of these events, the extent of the burned area, and the catastrophic consequences, forest and fire management were placed at the center stage of public and political concerns, receiving wide mass media attention and amplification likely to shape public opinion and influence policy decisions. Through a quasi-qualitative content analysis approach, this article focuses on the media narratives conveyed by the news issued over two years (N = 1056) by eight newspapers of different periodicities and geographical scopes regarding the wildfires of October 2017 in the Matas do Litoral—coastal public-managed forest areas located in the Centre Region of Portugal. The analysis focuses on three main dimensions: the agents and actors mentioned and their power-related positions, the geographical coverage of the newspapers, and the relevance ascribed to emotions and feelings in the media narratives about the wildfires. The results demonstrate the relevance attributed in media narratives to the views of institutional agents and the negligence of local people’s voices. When particularly highlighting the material impacts of the wildfires, media narratives tended to focus less on people’s emotions and other non-tangible issues. The variation in these narratives according to the geographical scope of the newspapers and the publication time of the news strongly points out the need to address the heterogeneous character of the media coverage of wildfires. Full article

When a bandwagon consumption trend of luxury fashion products appears, potential consumers tend to conform to the trend. The conformity behavior is enhanced by social media because it makes bandwagon trends more visible. However, no research has explored the drivers of fashion trend conformity in the social media age and the underlying mechanisms. Our empirical research demonstrates that fashion trend conformity is a socially directed type of behavior driven by trend perception and reference group pressure, which represent the informational and normative social influence stimuli, respectively. In addition to the direct impact, we also examine the mediating roles of demand amplification and the urge to buy impulsively (UBI). Demand amplification and UBI, respectively, reflect the rational cognitive reaction and irrational emotional reaction to stimuli of fashion bandwagon consumption. However, our results show that only the cognitive reaction path works, but the emotional reaction path does not. Put simply, trend conformity behavior is largely the result of consumers’ rational reactions rather than irrational reactions to the social influence stimuli of bandwagon consumption. Our study contributes to the research on luxury fashion consumption by introducing three new concepts, i.e., fashion trend conformity, trend perception, and demand amplification, to describe and theorize the characteristics of consumer behavioral patterns for luxury fashion products and new drivers and novel underlying mechanisms of consumer behaviors in the social media age. Our findings offer practical insights for retailers and manufacturers to promote fashion trend conformity behavior. Full article

This study presents a digital ethnography of expats’ survival amid the Shanghai lockdown during the Omicron variant outbreak. This study drew insights from studies on resilience and secondary coping within the context of global migration to comprehend the diverse emotional challenges faced by expats in a series of lockdowns and persistent nucleic acid amplification tests. Thus, this study asks what the major emotional challenges expats faced and what sources of social support they could draw from citizens in their host country during the Shanghai lockdown. Accordingly, this study collected WeChat group conversations to draw empirical findings, promoted scholarly conversations about fundamental survival necessity, and traced the process for establishing intercultural collective resilience with citizens from their host country. Overall, this study emphasized the significance of host country members who can promote certain coping mechanisms for their visitors in the specific regional and geographical context of China. Full article

In this article, we provide preliminary evidence for the ‘hypersensitivity hypothesis’, according to which Emotional Intelligence (EI) functions as a magnifier of emotional experience, enhancing the effect of emotion and emotion information on thinking and social perception. Measuring ability EI, and in particular Emotion Understanding, we describe an experiment designed to determine whether, relative to those low in EI, individuals high in EI were more affected by the valence of a scenario describing a target when making an affective social judgment. Employing a sample of individuals from the general population, high EI participants were found to provide more extreme (positive or negative) impressions of the target as a function of the scenario valence: positive information about the target increased high EI participants’ positive impressions more than it increased low EI participants’ impressions, and negative information increased their negative impressions more. In addition, EI affected the amount of recalled information and this led high EI individuals to intensify their affective ratings of the target. These initial results show that individuals high on EI may be particularly sensitive to emotions and emotion information, and they suggest that this hypersensitivity might account for both the beneficial and detrimental effects of EI documented in the literature. Implications are discussed. Full article

Individuals with Autism Spectrum Disorder (ASD) experience challenges with social communication, often involving emotional elements of language. This may stem from underlying auditory processing difficulties, especially when incoming speech is nuanced or complex. This study explored the effects of auditory training on social perception abilities of children with ASD. The training combined use of a remote-microphone hearing system and computerized emotion perception training. At baseline, children with ASD had poorer social communication scores and delayed mismatch negativity (MMN) compared to typically developing children. Behavioral results, measured pre- and post-intervention, revealed increased social perception scores in children with ASD to the extent that they outperformed their typically developing peers post-intervention. Electrophysiology results revealed changes in neural responses to emotional speech stimuli. Post-intervention, mismatch responses of children with ASD more closely resembled their neurotypical peers, with shorter MMN latencies, a significantly heightened P2 wave, and greater differentiation of emotional stimuli, consistent with their improved behavioral results. This study sets the foundation for further investigation into connections between auditory processing difficulties and social perception and communication for individuals with ASD, and provides a promising indication that combining amplified hearing and computer-based targeted social perception training using emotional speech stimuli may have neuro-rehabilitative benefits. Full article

This paper proposes emotion amplification for TV chat agents allowing users to get more excited in TV sports programs, and a model that estimates the excitement level of TV programs based on the number of social comment posts. The proposed model extracts the exciting intervals from social comments to the program scenes. By synchronizing recorded video streams and the intervals, the agents may talk with the user dynamically changing the frequency and volume of upbeat utterances, increasing the excitement of the user. To test these agents, participants watched TV content under three conditions: without an agent, with four agents that utter with a flat voice, and with four agents with emotion amplification. Results from 24 young adult Japanese individuals showed that their arousal of participants’ subjective and physiological emotional responses were boosted because of the agents, enhancing their motivation to interact with the agent in the future. With empirical evidence, this paper supports these expectations and demonstrates that these agents can amplify the positive emotions of TV watchers, enhancing their motivation to interact with the agent in the future. Full article

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. Full article

The perception of social sanitation norms (PSSNs) around unacceptability of open defecation has been a key aspect of recent sanitation interventions. However, underlying mechanisms through which “reconstructed” PSSNs affect sanitation outcomes have been a black box. This explorative cross-sectional study examines direct and indirect links between PSSNs and sanitation safety using data from structured interviews and observations in 368 households in rural South Ethiopia. In addition to a positive association between PSSNs and sanitation safety, we propose and examine the following two mechanisms: First, we confirm a potentially adverse feedback of PSSNs on future sanitation safety by enhancing the emotional satisfaction with current sanitation practice (satisfaction independent of the functionality of sanitation facilities). Second, inspired by the social amplification/attenuation of risk framework, we demonstrate that PSSNs work as a “social filter” that can amplify or attenuate the effects of other variables targeted in sanitation interventions such as perceived health-related and non-health risks and benefits associated with open defecation and private latrine ownership, respectively, and factual hygiene and sanitation knowledge. These findings imply that PSSNs are not only important per se, but they are also important instrumentally because sanitation outcomes depend upon the capacity of social influences to shape the perception of sanitation risks and benefits and sanitation-related awareness in desirable ways. The mechanisms outlined in this paper as well as the sustainability of sanitation outcomes depend on whether and how social sanitation norms are internalized. Full article

Since Freud’s “Mourning and Melancholia”, bereavement encompasses the dilemma between continuing versus relinquishing bonds to deceased persons. Mourning is the process of symbolizing the loss, of making sense by facing the conflict between the absence of the lost object and the continuing presence of an emotional relationship to that which is lost. Furthermore, mourning is not limited to bereaved persons but also concerns dying persons and, in a broader sense, our whole symbolic life which is playful coping with a rhythm of absence and presence. True consolation connects the individual and the archetypical mourning. Spiritually integrated psychotherapy may accompany this process by amplification. Christian mysticism takes its starting point from the experience of Jesus Christ’s lost body, and this may be understood as a model of spiritual transformation. Full article