Bianchi, F., Terragni, S., & Hovy, D. (2020). Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. http://arxiv.org/abs/2004.03974
Bowman, D. (2016). Selecting the Number of Topics in a Latent Dirichlet Allocation Model. Proceedings of the Joint Statistical Meetings, Section on Statistical Learning and Data Science (pp. 1849–1855). American Statistical Association.
Campagnolo, J. M., Duarte, D., & Dal Bianco, G. (2022). Topic Coherence Metrics: How Sensitive Are They? Journal of Information and Data Management, 13(4 SE-Regular Papers). https://doi.org/10.5753/jidm.2022.2181
Cotten, S. R., Schuster, A. M., & Seifert, A. (2022). Social media use and well-being among older adults. Current Opinion in Psychology, 45, 101293. https://doi.org/10.1016/j.copsyc.2021.12.005
Dempsey, B., Looney, K., McNamara, R., Michalek, S., & Hennessy, E. (2022). An experimental investigation of adolescent and young adult responses to stigmatizing and supportive social media posts in response to a depressed peer. Computers in Human Behavior, 131, 107229. https://doi.org/10.1016/j.chb.2022.107229
Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, Elsevier, vol. 133(C), pages 285–296.
Ellena, M., Breil, M., & Soriani, S. (2020). The heat-health nexus in the urban context: A systematic literature review exploring the socio-economic vulnerabilities and built environment characteristics. Urban Climate, 34, 100676. https://doi.org/10.1016/j.uclim.2020.100676
Graesser, A. C., Greiff, S., Stadler, M., & Shubeck, K. T. (2020). Collaboration in the 21st century: The theory, assessment, and teaching of collaborative problem solving. Computers in Human Behavior, 104, 106134. https://doi.org/10.1016/j.chb.2019.09.010
Guess, A., Nagler, J., & Tucker, J. (2019). Less than you think: Prevalence and predictors of fake news dissemination on Facebook. Science Advances, 5(1), eaau4586. https://doi.org/10.1126/sciadv.aau4586
Guzmán Rincón, A., Barragán Moreno, S., Rodríguez-Canovas, B., Carrillo Barbosa, R. L., & Africano Franco, D. R. (2023). Social networks, disinformation and diplomacy: A dynamic model for a current problem. Humanities and Social Sciences Communications, 10(1), 505. https://doi.org/10.1057/s41599-023-01998-z
Habibi, L., Farpour, H. R., Simab, A. R., Bejeshk, M. A., Rajizadeh, M. A., & Farpour, S. (2021). The Relationship between Social Media Usage and General Health in the Older People of Shiraz City in Iran. Ageing International, 46(4), 453–464. https://doi.org/10.1007/s12126-020-09402-w
Kim, Y., & Lee, M. (2023). Does social media use mitigate or exacerbate loneliness among Korean older adults? Focusing on the moderating role of media literacy. Social Media + Society, 9(2), 20563051231177960. https://doi.org/10.1177/20563051231177959
Kusumota, L., Diniz, M. A. A., Ribeiro, R. M., da Silva, I. L. C., Figueira, A. L. G., Rodrigues, F. R., & Rodrigues, R. A. P. (2022). Impact of digital social media on the perception of loneliness and social isolation in older adults. Revista Latino-Americana de Enfermagem, 30(e3573). https://doi.org/10.1590/1518-8345.5641.3573
Lei, X., Matovic, D., Leung, W.-Y., Viju, A., & Wuthrich, V. M. (2024). The relationship between social media use and psychosocial outcomes in older adults: A systematic review. International Psychogeriatrics, 36(9), 714–746. https://doi.org/10.1017/S1041610223004519
Lim, W. M., & Kumar, S. (2024). Guidelines for interpreting the results of bibliometric analysis: A sensemaking approach. Global Business and Organizational Excellence, 43(2), 17–26. https://doi.org/10.1002/joe.22229
Litwin, H., & Levinsky, M. (2022). Social networks and mental health change in older adults after the Covid-19 outbreak. Aging \& Mental Health, 26(5), 925–931. https://doi.org/10.1080/13607863.2021.1902468
Lyons, B. A. (2023). Older Americans are more vulnerable to prior exposure effects in news evaluation. Misinformation Review, 4(4).
Makita, M., Mas-Bleda, A., Stuart, E., & Thelwall, M. (2021). Ageing, old age and older adults: A social media analysis of dominant topics and discourses. Ageing and Society, 41(2), 247–272. https://doi.org/10.1017/S0144686X19001016
Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de La Información, 29(1). https://doi.org/10.3145/epi.2020.ene.03
Muhammad, A., Ali, M. A. H., & Shanono, I. H. (2020). ANSYS – A bibliometric study. Materials Today: Proceedings, 26, 1005–1009. https://doi.org/10.1016/j.matpr.2020.01.192
Muthusami, R., Mani Kandan, N., Saritha, K., et al. (2024). Investigating topic modeling techniques through evaluation of topics discovered in short texts data across diverse domains. Scientific Reports, 14, 12003.
Ng, R., & Indran, N. (2023). Granfluencers on TikTok: Factors linked to positive self-portrayals of older adults on social media. PLoS ONE, 18(2), 1–14. https://doi.org/10.1371/journal.pone.0280281
Özkent, Y. (2022). Social media usage to share information in communication journals: An analysis of social media activity and article citations. PLoS ONE, 17(2), 1–11. https://doi.org/10.1371/journal.pone.0263725
P.J., S., Singh, K., Kokkranikal, J., Bharadwaj, R., Rai, S., & Antony, J. (2023). Service Quality and Customer Satisfaction in Hospitality, Leisure, Sport and Tourism: An Assessment of Research in Web of Science. Journal of Quality Assurance in Hospitality \& Tourism, 24(1), 24–50. https://doi.org/10.1080/1528008X.2021.2012735
Peng, W., Lee, H. R., & Lim, S. (2024). Leveraging Chatbots to Combat Health Misinformation for Older Adults: Participatory Design Study. JMIR Form Res, 8, Article e60712. https://doi.org/10.2196/60712
Pereira, V., Basilio, M. P., & Santos, C. H. T. (2023). pyBibX--A Python Library for Bibliometric and Scientometric Analysis Powered with Artificial Intelligence Tools. arXiv preprint arXiv:2304.14516.
Rajaei, A., & Abraham, D. (2024). From Polarities and Perspectives of Social Media: Instagram, TikTok, and Mental Well-Being in the Post-Pandemic Society. The Family Journal, 0(0), 10664807241293148. https://doi.org/10.1177/10664807241293149
Sen, K., Prybutok, G., & Prybutok, V. (2022). The use of digital technology for social wellbeing reduces social isolation in older adults: A systematic review. SSM - Population Health, 17, 101020. https://doi.org/10.1016/j.ssmph.2021.101020
United Nations. (2020). Older persons. United Nations High Commissioner for Refugees. https://emergency.unhcr.org/protection/persons-risk/older-persons#:~:text=An older person is defined,or age-related health conditions.
Vanajan, A., & Gherdan, C. (2022). Associations between existing and newly diagnosed chronic health conditions and change in subjective life expectancy: Results from a panel study. SSM - Population Health, 20, 101271. https://doi.org/10.1016/j.ssmph.2022.101271
Vlase, I., & Lähdesmäki, T. (2023). A bibliometric analysis of cultural heritage research in the humanities: The Web of Science as a tool of knowledge management. Humanities and Social Sciences Communications, 10(1), 84. https://doi.org/10.1057/s41599-023-01582-5
Yu, J., de Antonio, A., & Villalba-Mora, E. (2020). Older Adult Segmentation According to Residentially-Based Lifestyles and Analysis of Their Needs for Smart Home Functions. International Journal of Environmental Research and Public Health, 17(22). https://doi.org/10.3390/ijerph17228492
Zhang, R., Su, Y., Lin, Z., & Hu, X. (2024). The impact of short video usage on the mental health of elderly people. BMC Psychology, 12(1), 612. https://doi.org/10.1186/s40359-024-02125-6
Zhang, J., Yu, Q., Zheng, F., Long, C., Lu, Z., & Duan, Z. (2016). Comparing Keywords Plus of WoS and Author Keywords. J Assn Inf Sci Tec, 67, 967–972. https://doi.org/10.1002/asi.23437
Zhang, C., Mohamad, E., Azlan, A. A., Wu, A., Ma, Y., & Qi, Y. (2025). Social Media and eHealth Literacy Among Older Adults: Systematic Literature Review. Journal of Medical Internet Research, 27, Article e66058. https://doi.org/10.2196/66058
Zolkepli, I. A., Tariq, R., Isawasan, P., Shamugam, L., & Mustafa, H. (2023). The mediating role of social media fatigue on social media usage behaviour of the ageing society during the COVID-19 pandemic. SEARCH Journal of Media and Communication Research, 15(Specil issue), 91–107.
Zolkepli, I. A., Tariq, R., Isawasan, P., Shamugam, L., & Mustafa, H. (2024). The effects of negative social media connotations on subjective wellbeing of an ageing population: A stressor-strain-outcome perspective. PLOS ONE, 19(1), 1–18. https://doi.org/10.1371/journal.pone.0296973
Comments (0)