Volume 64

In the rapidly evolving e-commerce landscape, algorithmic collusion has emerged as a sophisticated method for businesses to engage in anti-competitive behavior without explicit agreements. This paper delves into the complexities of algorithmic collusion, examining how modern information technologies facilitate these covert practices. This study underscores the profound impact on market competition and consumer rights by categorizing the different types of algorithmic collusion and analyzing their implementation mechanisms. Furthermore, it highlights the deficiencies in current antitrust frameworks and the urgent need for legal and regulatory reforms. The paper concludes with strategic recommendations to enhance market transparency and fairness, ensuring that technological advancements do not undermine competitive equity.

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Under the digital age, the method of learning expanded to the virtual setting. With resources shared through online platforms, digital divide became a new problem in achieving education equality. This paper intends to examine the effect of digital divide on educational system in the U.S. and China from a comparative perspective. This study adopts literature review as its research method. Types of digital divide that occurs in the two countries showcase some similarities, yet the factors attributing to the educational digital divide varies widely. Educational divide exists in different social groups. Systematic and cultural differences are the root behind these factors. In the U.S., digital divide occurred due to differences at multiple levels: race, state, schools, and family SES. In China, digital divide occurs due to geological divergence, generational division, and social class. The root Moreover, mitigating policies from the two countries illustrate how the U.S. and China access the issue from different perspective. The root behind such contrast is the difference in the two countries’ social system and cultural attitudes. The two countries can inspire each other and the world in creating better solutions to solve this new form of education inequality.

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In a rapidly evolving digital society, the active engagement of adolescents on social media platforms has progressively increased. This study examines the relationships between depression, sleep health, and social media usage mainly among adolescents, along with a subset of undergraduates and working adults to explore other underlying reasons. A questionnaire was designed and distributed via the Questionnaire Star platform, yielding 115 respondents and 111 valid responses. The study utilized the Self-Rating Depression Scale (SDS), Pittsburgh Sleep Quality Index (PSQI), and Social Anxiety Scale for Social Media Users (SAS-SMU) to evaluate the three measures. Higher levels of depression are consistently associated with poorer sleep quality and shorter sleep duration; however, the influence of SMU on these variables is neither as direct nor as significant as initially hypothesized. This research provides a preliminary exploration of the concurrent effects of SMU on sleep quality and depression. Future studies should consider additional related variables and undertake longitudinal investigations.

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