The Political Subculture in Contemporary China: Moha and Its Transformation

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Abstract This study explores the Moha political subculture on Chinese social media, closely linked to Jiang Zemin, the former supreme leader of China. Scholars exploring Moha have often failed to provide a thorough analysis, as they often overlook its transformations and the identities of the netizens engaging with it. Through long-term observations and interviews with practitioners, this study offers a comprehensive examination of this political subculture by analyzing its historical trajectory, evolving usage, and the identities of those involved, seeking to uncover its underlying political meanings. It argues that those engaging with Moha are not a monolithic group. In its early stages, Moha was primarily used with negative intent by dissenters who expressed sarcasm toward Jiang's policies. Over time, however, it evolved into a subculture with more positive connotations. This research demonstrates that the reasons for such a transformation are twofold: (1) political nostalgia among public intellectuals who are dissatisfied with the current situation and therefore yearn for previous eras; and (2) a form of online collective effervescence among other individuals, driven by a desire to conform to popular trends. To a large extent, the Party remained acquiescent to Moha due to its non-subversive nature: the practices of public intellectuals were spontaneously contained within a self-disciplined framework, remaining moderate and sufficiently implicit, while those of politically uninformed individuals stayed apolitical and harmless.

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BackgroundThe COVID-19 infodemic has been disseminating rapidly on social media and posing a significant threat to people’s health and governance systems.ObjectiveThis study aimed to investigate and analyze posts related to COVID-19 misinformation on major Chinese social media platforms in order to characterize the COVID-19 infodemic.MethodsWe collected posts related to COVID-19 misinformation published on major Chinese social media platforms from January 20 to May 28, 2020, by using PythonToolkit. We used content analysis to identify the quantity and source of prevalent posts and topic modeling to cluster themes related to the COVID-19 infodemic. Furthermore, we explored the quantity, sources, and theme characteristics of the COVID-19 infodemic over time.ResultsThe daily number of social media posts related to the COVID-19 infodemic was positively correlated with the daily number of newly confirmed (r=0.672, P<.01) and newly suspected (r=0.497, P<.01) COVID-19 cases. The COVID-19 infodemic showed a characteristic of gradual progress, which can be divided into 5 stages: incubation, outbreak, stalemate, control, and recovery. The sources of the COVID-19 infodemic can be divided into 5 types: chat platforms (1100/2745, 40.07%), video-sharing platforms (642/2745, 23.39%), news-sharing platforms (607/2745, 22.11%), health care platforms (239/2745, 8.71%), and Q&A platforms (157/2745, 5.72%), which slightly differed at each stage. The themes related to the COVID-19 infodemic were clustered into 8 categories: “conspiracy theories” (648/2745, 23.61%), “government response” (544/2745, 19.82%), “prevention action” (411/2745, 14.97%), “new cases” (365/2745, 13.30%), “transmission routes” (244/2745, 8.89%), “origin and nomenclature” (228/2745, 8.30%), “vaccines and medicines” (154/2745, 5.61%), and “symptoms and detection” (151/2745, 5.50%), which were prominently diverse at different stages. Additionally, the COVID-19 infodemic showed the characteristic of repeated fluctuations.ConclusionsOur study found that the COVID-19 infodemic on Chinese social media was characterized by gradual progress, videoization, and repeated fluctuations. Furthermore, our findings suggest that the COVID-19 infodemic is paralleled to the propagation of the COVID-19 epidemic. We have tracked the COVID-19 infodemic across Chinese social media, providing critical new insights into the characteristics of the infodemic and pointing out opportunities for preventing and controlling the COVID-19 infodemic.

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In this article we present an analysis of the concepts of fenxiang and gongxiang – the Mandarin words for ‘sharing’– in the context of Chinese social media. We do so through an interrogation of the words fenxiang and gongxiang as used by Chinese social media companies. Using the Internet Archive’s Wayback Machine, we created screenshots of 32 Chinese social network sites between 2000 and 2018 and tracked changes in the usage of fenxiang and gongxiang over time. The Mandarin translations in some ways operate like the English word, ‘sharing’. Fenxiang has the meaning of participating in social media, and gongxiang refers to technological aspects of sharing, while also conveying a sense of harmony. However, the interpersonal relations implied by fenxiang, and the political order implied by gongxiang, are quite different from those conveyed by ‘sharing’. Together, fenxiang and gongxiang construct a convergence of micro-level interpersonal harmony and macro-level social harmony. Thus, the language of sharing becomes the lens through which to observe the subtlety, complexity and idiosyncrasies of the Chinese internet. This article offers a new heuristic for understanding Chinese social media, while also pointing to an important facet of the discursive construction of Chinese social media. This implies a continuing need to de-westernize research into the internet and to identify cultural-specific meanings of social media.

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