首页|Reports from University of Malaya Add New Data to Findings in Artificial Intelli gence (Empowering Chinese Young Female Fans On Social Media Through Artificial I ntelligence To Control Their Body Image)

Reports from University of Malaya Add New Data to Findings in Artificial Intelli gence (Empowering Chinese Young Female Fans On Social Media Through Artificial I ntelligence To Control Their Body Image)

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New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Kuala Lumpur, M alaysia, by NewsRx editors, research stated, "The purpose of this qualitative st udy was to empower the young Chinese fans on social media through artificial int elligence (as virtual influencers) to control their body image. The study aimed to investigate fans' opinions, experiences, and obstacles in relation to body im age perception, acceptance and satisfaction through in-depth interviews with 21 informants." Our news journalists obtained a quote from the research from the University of M alaya, "Based on the interview questions and research aims and objectives, a tot al of 11 themes were formulated to perform the thematic analysis. According to t he findings, fan involvement, social media use, and exposure to idealized body i deals of virtual influencers had an impact on body image perceptions and among C hinese young female fans. The findings also highlighted the relevance of social support and positive fan groups in fostering body image satisfaction. This study 's theoretical and practical implications add to the current literature by shedd ing light on the complex interplay between virtual celebrity, fan practices, soc ial media and body image satisfaction. The study emphasizes the importance of fo cused interventions and support networks that meet the specific issues that Chin ese young female fans experience in maintaining the confidence for embracing hea lthy body image."

Kuala LumpurMalaysiaAsiaArtificial IntelligenceEmerging TechnologiesMachine LearningUniversity of Malaya

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.7)