How is public discussion as reflected in WeChat articles different from scholarly research in China? An empirical study of metaverse

Zhang, Yang; Xie, Yinghua; Li, Longfei; Liang, Yian; Yu, Houqiang

doi:10.1007/s11192-023-04892-2

Scientometrics

2023

DOI: 10.1007/s11192-023-04892-2

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How is public discussion as reflected in WeChat articles different from scholarly research in China? An empirical study of metaverse

Yang Zhang,

Yinghua Xie,

Longfei Li

et al.

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Cited by 5 publications

References 61 publications

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Yuanyuzhou 元宇宙: yesterday, today, tomorrow. Historical roots, current visions, and future dynamics of real-world integration in the Chinese governmental narrative on the Metaverse

Negro,

Savina

2024

Information, Communication & Society

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Yuanyuzhou 元宇宙: yesterday, today, tomorrow. Historical roots, current visions, and future dynamics of real-world integration in the Chinese governmental narrative on the Metaverse

Negro,

Savina

2024

Information, Communication & Society

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How perceived overload leads to WeChat passive usage intention: the mediating roles of social network exhaustion and discontented feeling

Pang,

Liu

2024

INTR

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PurposeThe principal purposes of the research are to empirically investigate three forms of perceived overload on social media and shed light on their associations with users’ passive usage intention by contemplating the mediating influence of social network exhaustion and discontented feelings.Design/methodology/approachThis study employed a cross-sectional methodology to collect statistical data (N = 679) from WeChat users in mainland China. Primitive analysis, confirmatory factor analysis and structural equation modeling were employed to test the corresponding hypotheses.FindingsThe findings reveal that three dimensions of perceived overload influence social network exhaustion positively. In addition, communication overload and system feature overload exert positive impacts on the discontented feeling. Furthermore, it is uncovered that social network exhaustion and discontented feeling are related to passive usage intention positively.Research limitations/implicationsTheoretically, this paper offers a conceptual framework to explicate passive usage intention through elucidating social network exhaustion and the discontented feeling that arises from perceived overload in contemporary social media-mediated environments. Practically, the current research has certain realistic implications for WeChat users and SNS operators.Originality/valueProbing what triggers people’s passive usage intention of social media has been an emerging theme in recent years, yet there is a dearth of discourse that delves into the antecedents of WeChat users’ passive usage intention. The results obtained from the study have enhanced the understanding of the adverse consequences associated with the utilization of social media in mainland China.

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Unveiling the waves of mis- and disinformation from social media

Hassani,

Komendantova,

Rovenskaya

et al. 2024

Int. J. Model. Simul. Sci. Comput.

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In the digital era, social media platforms have become the focal point for public discourse, with a significant impact on shaping societal narratives. However, they are also rife with mis- and disinformation, which can rapidly disseminate and influence public opinion. This paper investigates the propagation of mis- and disinformation on X, a social media platform formerly known as Twitter. We employ a multidimensional analytical approach, integrating sentiment analysis, wavelet analysis, and network analysis to discern the patterns and intensity of misleading information waves. Sentiment analysis elucidates the emotional tone and subjective context within which information is framed. Wavelet analysis reveals the temporal dynamics and persistence of disinformation trends over time. Network analysis maps the intricate web of information flow, identifying key nodes and vectors of virality. The results offer a granular understanding of how false narratives are constructed and sustained within the digital ecosystem. This study contributes to the broader field of digital media literacy by highlighting the urgent need for robust analytical tools to navigate and neutralize the infodemic in the age of social media.

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How is public discussion as reflected in WeChat articles different from scholarly research in China? An empirical study of metaverse

Cited by 5 publications

References 61 publications

Yuanyuzhou 元宇宙: yesterday, today, tomorrow. Historical roots, current visions, and future dynamics of real-world integration in the Chinese governmental narrative on the Metaverse

Yuanyuzhou 元宇宙: yesterday, today, tomorrow. Historical roots, current visions, and future dynamics of real-world integration in the Chinese governmental narrative on the Metaverse

How perceived overload leads to WeChat passive usage intention: the mediating roles of social network exhaustion and discontented feeling

Unveiling the waves of mis- and disinformation from social media

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