Volume 2,Issue 3
Analysis of Media Competence Enhancement and Community Mutual Assistance Mechanism for Elderly Groups in Urban and Rural Areas of Guangdong under the Intervention of AI Technology
With the rapid development of artificial intelligence, many areas of life have begun to be transformed by it. Given the aging population in urban and rural areas of Guangdong, improving the media literacy of older people is necessary to help them live in the digital age and improve their quality of life. This paper explores how to strengthen the media literacy of older adults in urban and rural areas of Guangdong Province with the help of artificial intelligence (AI) technology, analyzes the current conditions, studies the relationship between the two, and puts forward specific measures to help older people better adapt to digital life and promote the construction of community mutual-assistance systems.
[1] Jiang Y, Lin Y, 2025, Dynamic Age-Group Dissociation: Older Adults’ Engagement With Age Stereotypes in Hybrid Media Environments. Communication Theory, 36(3): 134–144.
[2] Yuan Y, Wu YW, 2025, Distinguishing Characteristics of Falls Among Community-Dwelling Cantonese-Speaking Older Adults in Southern China: A Community-Based Observational Study. Journal of Public Health Research, 14(4): 22799036251388565.
[3] Qixiang W, 2024, Research on Social Adaptation Countermeasures for Urban and Rural Elderly Groups in Anhui Province Under the Background of Intelligent Media. Academic Journal of Humanities & Social Sciences, 7(3): 241–247.
[4] Ruby Y, Derek L, Grace L, et al., 2023, Translation, Cultural Adaptation, and Validation of the Cantonese Version of SarQoL in Hong Kong’s Older Population: An Interviewer-Administered Questionnaire for Assessing Sarcopenia-Specific Quality of Life in Fieldwork Practice. Clinical Interventions in Aging, 18: 1851–1861.
[5] Haslam C, Dane S, Lam BCP, et al., 2022, Ageing Well in a Foreign Land: Group Memberships Protect Older Immigrants’ Wellbeing Through Enabling Social Support and Integration. Ageing and Society, 42(7): 1710–1732.