The innovation of algorithmic technology in digital advertising is reshaping the marketing landscape, but the resulting compliance risks and ethical disputes are becoming increasingly significant. This study focuses on the three fundamental issues of false advertising, privacy violations, and consumption incentives caused by algorithmic recommendations. It assesses the effectiveness of the current regulatory system in protecting consumers’ rights and interests by combining typical case analysis and a large-scale sample survey. According to the data, nearly 40% of consumers have encountered misleading advertisements, of which only half were dealt with in a timely manner, reflecting the governance delay caused by the black-box algorithm. The abuse of user profiles is particularly problematic, with most respondents unclear about how their personal data is collected and used. The research highlights that there are institutional gaps in the current algorithm filing review mechanism, and it is suggested to establish a dynamic regulatory list and an inter-departmental collaborative governance system. These findings provide empirical evidence for improving the algorithmic accountability mechanism and the digital advertising data compliance framework, and have reference value for promoting the formation of a more ethical intelligent marketing model.

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Majuqiao temporary labor market, one of the well-known gig-economy platform, gathered thousands of migrant workers for seeking temporary employment. As informal labor grows, it is necessary to understand the operation system of such a permanent and enormous market. More importantly, concerns about informal workers’ life quality needs to be address and analyze. This paper conducted semi-structured interview with randomly selecting 15 workers in the Majuqiao temporary market. The paper emphasizes three interviewees across different generation to explore their daily life. Finding shows that while gig-economy platform provided flexibility to migrant workers, it often comes with irregular income and labor exploitation. Workers are benefiting disproportionately from their employers, which resonates with Marx’s perspective of surplus values. Therefore, the study highlights the current situation that is needed to change for the welfare of migrant workers and proposes effective solution to this existing problem.

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This study employs a mixed-methods approach to evaluate the impact of traditional classroom teaching and AI-assisted learning on the writing skills of English as a Foreign Language (EFL) students. By comparing pre- and post-test performance, quantitative analysis reveals that the AI-assisted experimental group showed greater improvement, while the control group exhibited more stable scores. Semi-structured interviews provide qualitative insights into students' perceptions, highlighting both positive and critical attitudes toward AI-assisted learning and traditional instruction. The findings underscore the potential of integrating AI tools with conventional teaching methods to enhance EFL writing proficiency. The study offers a balanced assessment of the strengths and limitations of both approaches, providing educators with practical guidance for optimizing teaching strategies and improving learning outcomes. This research contributes to the ongoing discussion on the effective modernization of language education through AI integration.

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A vital content analysis component is investigating the "persona" of the people featured in portrait interviews. The people in these interviews are usually well-known and respected individuals with a clear public persona. These values are a significant focus for viewers and have contributed significantly to their public recognition. In portrait interviews, hosts blend pre-recorded segments, live dialogue, and archival clips to reveal the guest's true character. Drawing on this approach, our study focuses on the "distinguished Mongolian individual," examining how their journey is revealed through the interviewer's thoughtful questions and storytelling. Against this backdrop, our primary subject is the "distinguished Mongolian individual," whose life story emerges through the interviewer's craft. By comparing portrait interviews broadcast in Mongolia and Inner Mongolia, this research examines three interrelated dimensions: how the guest's persona is co-constructed on screen, how deeply held values are articulated, and the pivotal influence of the journalist's questioning techniques. Our analysis reveals that while all featured guests share certain traits, each possesses unique self-presentation facets. Crucially, these qualities surface most vividly when hosts employ well-planned, value-oriented questions delivered with professional finesse. This study reveals the shared themes and individual nuances of these distinguished individuals, emphasizing the role of the interviewer's mastery and commitment in revealing those characteristics. The findings demonstrate that the personas of these "distinguished individuals" exhibit both shared and unique characteristics, which are effectively elicited through strategically structured and professionally executed journalistic questioning.

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