Personality traits and their influence on Echo chamber formation in social media: a comparative study of Twitter and Weibo.

The echo chamber effect on social media has attracted attention due to its potentially disruptive consequences on society. This study presents a framework to evaluate the impact of personality traits on the formation of echo chambers. Using Weibo and Twitter as platforms, we first define an echo chamber as a network where users interact solely with those sharing their opinions, and quantify echo chamber effects through selective exposure and homophily. We then employ an unsupervised personality recognition method to assign a personality model to each user, and compare the distribution differences of echo chambers and personality traits across platforms and topics. Our findings show that, although user personality trait models exhibit similar distributions between topics, differences exist between platforms. Among 243 personality model combinations, over 20% of Weibo echo chamber members are "ynynn" models, while over 15% of Twitter echo chamber members are "nnnny" models. This indicates significant differences in personality traits among echo chamber members between platforms. Specific personality traits attract like-minded individuals to engage in discussions on particular topics, ultimately forming homogeneous communities. These insights are valuable for developing targeted management strategies to prevent the spread of fake news or rumors.

Can digitalization and low-carbonization progress in harmony? Evidence from Chinese cities.

Achieving high-quality development of the city requires actively promoting coordinated digitalization and low-carbon development. Previous studies have focused on the unidirectional impact of urban digitalization on low-carbonization and there is a lack of research on their interactions. This study uses the generalized spatial three-stage least squares method and the spatial simultaneous equation to investigate the endogenous interactions between urban digitalization and low-carbonization. The properties of the spatiotemporal evolution are then examined using linked coordination degree models, kernel density, and spatial statistical approaches. Finally, using the spatial panel metering model, this study empirically investigates the motivations behind the synergistic advancement of digitalization and low-carbonization. The results show that: (1) There is an endogenous interaction between urban digitalization and low-carbonization and that this interaction pattern is closely linked to geographical proximity. (2) In general, both urban digitalization and low-carbonization have a positive spatial impact and a negative spatial interaction, and their coordination levels have a significant spatial impact. (3) Throughout the research period, the coordination degree of urban digitalization and low carbonization continued to increase, showing a positive spatial correlation and a balanced development trend. (4) Economic development, industrial structure, and human capital accumulation are vital internal drivers of the synergistic advancement of urban digitalization and low carbonization. Government capacities and technological innovations are key external factors that contribute to the synergistic advancement of urban digitalization and low-carbonization. Overall, the paper is essential not only to deepen understanding of the relationship between urban digitalization and low-carbonization but also to formulate policies for their coordinated development.

Can urban digitalization significantly improve carbon emission efficiency?Evidence from 282 cities in China.

Urban digitalization is a critical focus for economic development and the low carbon transition. Recognizing how urban digitalization influences carbon emissions efficiency (CEE) is of great practical significance to high-quality urban development. Previous studies have lacked a systematic exploration of the internal mechanisms and dynamic effects of urban digitalization on CEE. Based on data from 2011 to 2019 at the municipal level in China, this paper adopts efficiency analysis and entropy value method to measure urban digitalization development and CEE and analyze their spatial-temporal evolution characteristics. Moreover, this paper empirically tests the overall, time, and spatial effects of urban digitalization on CEE, as well as the effect pathways. According to the findings, urban digitalization has a significant stimulative influence on CEE. The promotion effect shows a trend of increasing over time. Urban digitalization has a positive spatial spillover effect on the CEE of surrounding cities, which is conducive to accelerating the integration process of low-carbon development among cities. Urban digitalization improves CEE by raising the level of human and information communications technology capital and optimizing the industrial structures. The above conclusions still hold after robustness and endogenous tests. In addition, compared to cities in the eastern part of China and those with low levels of digitalization, those in the central and western parts of the country, and those with high levels of digitalization show a more significant boost to CEE as a result of urban digitalization. These discoveries have policy design reference value for the region to enhance its urban digitalization development strategy and achieve a transition to green development.

Coupling Coordination Measurement and Evaluation of Urban Digitalization and Green Development in China.

The coordinated promotion of urban digitalization and green development is an inevitable requirement for sustainable development in the digital age. Based on the coupling mechanism of urban digitalization and green development, in this study, we took 282 cities at the prefecture level and above in China from 2011 to 2019 as the research object, and we constructed the evaluation index system and calculated the coupling coordination degree (CD&GDD) of the two through the coupling coordination degree model. We further used the Dagum Gini coefficient, kernel density estimation, Markov chain and Moran's I to assess the spatial effects of the regional differences, dynamic evolution trends and degree of coupling coordination. The results show the following: (1) The level of urban digitalization and green development show a fluctuating upward trend, and the interaction between the two is obvious. (2) Although the CD&GDD of most cities is continuously improving, it is still at a low level. There are large differences in the levels between the regions. (3) The inter-regional differences are the main source of the large overall differences in the CD&GDD in China, and these are mainly composed of the hypervariable density and net differences between the regions. (4) The phenomenon of "club convergence" exists in the CD&GDD. (5) The coupling coordination relationship between cities has a substantial spatial effect, and the spatial effect has obvious regional heterogeneity. The results and conclusions provide a reference for developing countries to promote green and low-carbon urban development.

The Impact of Negative Workplace Gossip on Employees' Organizational Self-Esteem in a Differential Atmosphere.

The level of organizational self-esteem of employees, whether on the production line or as managers or directors of enterprises, does not only correlate with individual performance but has also become a key factor in determining the completion of team core tasks. Based on the theory of self-consistency, this study explores the correlation between negative workplace gossip and employees' organizational self-esteem by revealing the intermediary role of workplace exclusion and poor-order atmosphere. A survey of 228 employees from enterprises in Shandong and Shanghai showed that negative workplace gossip exerted a significant negative impact on employees' organizational self-esteem, suggesting that negative workplace gossip reduces employees' organizational self-esteem in the context of Chinese organizations. In addition, workplace exclusion exerted a complete intermediary effect between negative workplace gossip and employees' organizational self-esteem, and poor-order atmosphere perception played a partial intermediary role. This study uncovers the black box that negative workplace gossip affects employees' organizational self-esteem and has a strong enlightening significance for management practice.