Twelve-year-old adolescents are in a critical transitional phase of cognitive development, marked by underdeveloped worldviews and limited capacity to discern and resist complex information. In today's digital landscape, the ease of information dissemination and blurred boundaries often expose this demographic to "age-inappropriate" content—including adult-themed topics and developmentally mismatched discourse—through passive engagement with social platform recommendation algorithms. Current governance of youth-oriented online content predominantly focuses on explicit harmful material, while the identification and intervention of implicit age-inappropriate content remain inadequate, failing to effectively safeguard adolescents' digital growth. As internet penetration deepens among younger users, the boundaries of information exposure become increasingly ambiguous, sparking societal concerns about psychological "precocity." This study employs empirical methods to investigate the prevalence of age-inappropriate online content exposure among 12-year-olds. Using Sina Weibo as a case platform, Python-based web scraping collected user content, and a Bayesian classifier trained on adolescent health-related datasets was applied to classify content into "appropriate" and "inappropriate" categories. By analyzing the sample accounts, this research aims to assess the extent of "precocity risk." The findings are expected to provide data-driven insights for enhancing digital literacy education and improving online content governance.

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This study, grounded in a Marxist “technology–institution–value” three-dimensional analytical framework, examines the internal mechanisms and collaborative pathways through which artificial intelligence (AI) can empower the construction of a China–Cambodia community of shared future. The research finds that, although preliminary coordination exists between China and Cambodia in technological complementarity, institutional frameworks, and value alignment, several challenges persist. These include technological bottlenecks such as weak infrastructure, limited data resources, and a lack of innovation ecosystems; institutional barriers including misaligned laws and regulations, fragmented supervision, and difficulties in standard harmonization; as well as value-related gaps such as differences in cultural perceptions, fragile foundations of mutual trust, and insufficient social participation. To address these challenges, three strategic pathways—technological coordination, institutional alignment, and value consensus—are proposed to build a systematic solution structured around “foundational support–institutional guarantees–social integration.” This framework provides theoretical guidance for China–Cambodia AI cooperation and offers insights for innovating digital collaboration models within the Belt and Road Initiative.

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In contemporary society, where digitalization has fully permeated, social media has profoundly reshaped the fundamental paradigms of information dissemination and interpersonal interaction. However, with the strengthening of panoramic prison surveillance and the dissolution of online privacy boundaries, users are facing an unprecedented tension between pursuing social connections and safeguarding personal privacy. Against this backdrop, the Momo phenomenon emerged on the Xiaohongshu platform, where many users voluntarily adopted uniform pink dinosaur avatars and nicknames, forming a large, semi-anonymous group and becoming a unique cultural landscape and social practice. This study aims to deeply analyze the Momo phenomenon on the Xiaohongshu platform through a literature review and theoretical analysis, and to explore how anonymity changes users' risk-perception structure and thereby motivates their self-disclosure behaviour. Based on the Privacy Calculus Model, the research reveals that by adopting standardized identities, users effectively reduce the social risks and psychological costs of self-disclosure, making the benefits of a sense of security and belonging exceed the potential costs of privacy leakage. Meanwhile, the Social Identity Model of Deindividuation Effects (SIDE) explains the high degree of collective identity and behavioral consistency exhibited by this group in specific situations: deindividuation does not lead to simple disorder but rather prompts individuals to shift from personal identity to group identity. This mechanism is a double-edged sword. It not only provides a haven for marginal viewpoints and emotional venting but may also induce group polarization and cyber violence through moral disengagement.

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The differentiation and antagonism between humanity and nature produced by capitalist civilization constitute the core of Marx’s thought on the relationship between humanity and nature. Through his critique of alienated labor, Marx identified private ownership as the social root of this division and opposition, and clarified that the realization of the “two reconciliations” must be grounded in the sublation of alienated labor. Marx further dissected the internal operating mechanisms of capitalist society and, taking wage labor as his point of entry, elucidated the general laws governing the material metabolism between humanity and nature. In doing so, he identified both the preconditions for the emergence of metabolic rifts between humanity and nature and the conditions under which such rifts may be repaired. Marx demonstrated the rationality of constructing an ideal vision of harmonious human–nature development on the basis of free labor. By following the laws of beauty, free labor enables an initial reconciliation between humanity and nature, transcends alienated and wage labor through the association of free individuals, and thereby propels human society from the realm of necessity toward the realm of freedom. Upholding Marx’s thought on the relationship between humanity and nature in the new era is conducive to advancing a new chapter in which labor creates harmonious coexistence between humanity and nature.

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