The amplification effect of group-shared emotion

Wang, Zuojun; Yi-Ru, Hou; Yi, Kaijun; Hui-Yi, Tang

doi:10.3724/sp.j.1042.2017.00662

Cited by 3 publications

(2 citation statements)

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“…During the epidemic of COVID-19, people were exposed to the information related to the epidemic through various social media and were infected by the information. Under the effect of the same information, it is very easy to generate similar emotions and amplify the emotional experience of individuals in the process of communication through social media (Wang et al, 2017). The greater the intensity of group emotions, the more obvious the group emotion transmission behavior , which further promoted the occurrence of herding behavior.…”

Section: Information Infection and Emotional Infectionmentioning

confidence: 99%

The Impact of the Infodemic on the Stock Market Under the Covid-19: Taking the Investors’ Information Infection Index as the Intermediary Variable

Xie

Tang

et al. 2023

Technological and Economic Development of Economy

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The outbreak of COVID-19 is synchronized with the outbreak of the infodemic, which directly affected the sentiment and behaviours of investors and thus affected the stock market. At the same time, the outbreak of the infodemic has led to the information infection of the public. With the information infection, panic, anxiety, and other emotions have spread among the public, affecting the behaviours of investors, and thus affecting the stock returns. This paper explores the impact of the infodemic on the stock market by selecting keywords related to the “epidemic situation”, using the Baidu information index as an indicator to measure the infodemic, and the Baidu search index as an indicator to measure the degree of information infection. The empirical findings reveal that: First, the more serious the infodemic, the more severe the information infection; Second, the deeper the infodemic, the lower the stock returns of A-share listed companies; Third, there is a phenomenon that the infodemic affects the stock returns through the intermediary of information infection in the stock market.

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Section: Information Infection and Emotional Infectionmentioning

confidence: 99%

The Impact of the Infodemic on the Stock Market Under the Covid-19: Taking the Investors’ Information Infection Index as the Intermediary Variable

Xie

Tang

et al. 2023

Technological and Economic Development of Economy

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“…That is, PBGEC can be shared, while individual emotion is owned by the individual. Numerous studies have shown that sharing emotion with others can lead to emotional convergence—that is, the phenomenon of emotion becoming consistent among group members ( Totterdell et al, 1998 ; Totterdell, 2000 ; Barsade, 2002 ; Ilies et al, 2007 ; Wang et al, 2017 ). This sharing can, however, amplify individuals’ own emotional experiences.…”

Section: Introductionmentioning

confidence: 99%

The Perceived Broad Group Emotional Climate Scale: Development and Validation With Chinese Community Residents and University Students

et al. 2021

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Perceived broad group emotional climate (PBGEC) is a perceived meso-environment emotion, which refers to individuals’ perceptions and experiences of the emotion climate when interacting with group members in daily life, and is not derived from individuals’ own emotions. The purpose of this study was to develop and validate a PBGEC scale (PBGECS) for Chinese community residents and university students. A total of 1,408 residents from Chongqing completed the survey of PBGECS, the present social attitude scale, the future social expectations scale, and the social wellbeing scale, which constituted Sample 1; A total of 607 college students from Nanchang completed the survey of PBGECS and the Positive and Negative Affect Scale, which constituted Sample 2. Exploratory factor analysis revealed a two-factor structure, including positive PBGEC (PBGEC-P) and negative PBGEC (PBGEC-N). Internal consistency was strong for each factor and the full-scale (α ≥ 0.83). Confirmatory factor analysis showed that the correlated two-factor model of PBGEC and the four-factor model (including PBGEC-P, PBGEC-N, individual positive affect, and individual negative affect) demonstrated the best fit to the data, which supported the structural validity of the PBGECS. The interpretive validity, cultural validity, and population validity of the scale were also proved by examining the relationship between PBGEC and socioeconomic status, social attitude, and social wellbeing, respectively. The results show that the PBGECS demonstrated satisfactory reliability and validity, which can be used to assesses the perceived emotion climate of an individual’s surrounding environment.

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