Algorithmic Clinical Credibility: Credential Opacity, Professional Visibility and Misinformation Risk on Short Form Video Platforms in East Africa
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Abstract
Short form video has become a primary channel through which young East African populations encounter health information, yet platform architecture supplies no reliable signal of clinical credentialing. This narrative and critical review examines the resulting verification gap, in which licensed practitioners, unlicensed practitioners and commercially motivated wellness sellers occupy visually indistinguishable positions within the same feed. Evidence was drawn from peer reviewed literature on health misinformation and online credibility assessment, regulatory instruments and public notices issued by Kenyan statutory bodies, platform governance documentation and audience survey data reported by established research organisations. The review situates the phenomenon within regional patterns of digital health information seeking, describes the amplification logic of algorithmically curated feeds, and develops a typology distinguishing five categories of health content producer according to credential status, commercial orientation and regulatory reach. It then introduces the Algorithmic Clinical Credibility Model, an original framework proposing that perceived clinical authority online is assembled from four partially substitutable inputs, namely visual professional signalling, engagement volume, narrative relatability and formal credentialing, of which the first three are platform supplied and inexpensive to imitate while the fourth is platform absent and costly to verify. Regulatory instruments in Kenya already prohibit the conduct at issue, including the unauthorised use of the title doctor and influencer endorsement of health products, yet enforcement operates through mechanisms poorly matched to the speed and volume of algorithmic distribution. The review proposes a register linked audit protocol enabling systematic verification of high reach health accounts against national professional registers, and sets out corresponding regulatory, professional and platform level responses. No primary data were generated, and all statements concerning relationships between platform exposure and health outcomes are associative rather than causal.
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References
Chen, J., & Wang, Y. (2021). Social Media Use for Health Purposes: Systematic Review. Journal of Medical Internet Research, 23(5), e17917. https://doi.org/10.2196/17917
Daily Nation. (2020, July 3). Health alarm as Kenyans troop to bogus herbalists. Daily Nation. https://nation.africa/kenya/news/health-alarm-as-kenyans-troop-to-bogus-herbalists--601100
DataReportal. (2025, November 8). Digital 2026: Kenya. DataReportal – Global Digital Insights. https://datareportal.com/reports/digital-2026-kenya
Davis, S. L. M., Pham, T., Kpodo, I., Imalingat, T., Muthui, A. K., Mjwana, N., Sandset, T., Ayeh, E., Dong, D. D., Large, K., Nininahazwe, C., Wafula, T., Were, N., Podmore, M., Maleche, A., & Caswell, G. (2023). Digital health and human rights of young adults in Ghana, Kenya and Vietnam: A qualitative participatory action research study. BMJ Global Health, 8(5), e011254. https://doi.org/10.1136/bmjgh-2022-011254
Feijoo, B., Sádaba, C., & Zozaya, L. (2023). Distrust by default: Analysis of parent and child reactions to health misinformation exposure on TikTok. International Journal of Adolescence and Youth, 28(1), 2244595. https://doi.org/10.1080/02673843.2023.2244595
Hove, C., & Cilliers, L. (2023). A structured literature review of the health infodemic on social media in Africa. Jàmbá Journal of Disaster Risk Studies, 15(1). https://doi.org/10.4102/jamba.v15i1.1484
Hudon, A., Perry, K., Plate, A.-S., Doucet, A., Ducharme, L., Djona, O., Testart Aguirre, C., & Evoy, G. (2025). Navigating the Maze of Social Media Disinformation on Psychiatric Illness and Charting Paths to Reliable Information for Mental Health Professionals: Observational Study of TikTok Videos. Journal of Medical Internet Research, 27, e64225–e64225. https://doi.org/10.2196/64225
Kanuri, W. (2025, November 5). Influencers ignore State warnings, continue marketing Ozempic for weight loss. Daily Nation. https://nation.africa/kenya/life-and-style/influencers-ignore-state-warnings-continue-marketing-ozempic-for-weight-loss-5254624
KMPDC. (2026a). KMPDC Registers. Kenya Medical Practitioners and Dentists Council. https://registers.kmpdc.go.ke/
KMPDC. (2026b, February 16). Public Notice on the Use of the Title “Doctor.” Kenya Medical Practitioners and Dentists Council. https://kda.or.ke/public-notice-on-the-use-of-the-title-doctor/
Loveland, M., Ibrahim, R., & Block, G. (2024). The prevalence and characteristics of misinformation on “TikTok” related to cirrhosis and liver disease: A comparative analysis of accurate and misleading content. Journal of Investigative Medicine, 72(4), 383–386. https://doi.org/10.1177/10815589241235658
Madrid-Morales, D., Wasserman, H., Gondwe, G., Ndlovu, K., Sikanku, E., Tully, M., Umejei, E., & Uzuegbunam, C. (2021). Comparative Approaches to Mis/Disinformation| Motivations for Sharing Misinformation: A Comparative Study in Six Sub-Saharan African Countries. International Journal of Communication, 15, 20–20. https://ijoc.org/index.php/ijoc/article/view/14801
Medical Practitioners and Dentists Act (Cap. 253) (2022). https://kenyalaw.org/akn/ke/act/1977/20/eng@2022-12-31
Merga, M. K. (2025). TikTok and digital health literacy: A systematic review. IFLA Journal, 51(2), 490–501. https://doi.org/10.1177/03400352241286175
Metzger, M. J., & Flanagin, A. J. (2013). Credibility and trust of information in online environments: The use of cognitive heuristics. Journal of Pragmatics, 59, 210–220. https://doi.org/10.1016/j.pragma.2013.07.012
Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010). Social and Heuristic Approaches to Credibility Evaluation Online. Journal of Communication, 60(3), 413–439. https://doi.org/10.1111/j.1460-2466.2010.01488.x
Mwangi, D. (2025, November 6). Popular fitness trainer Gachau is under fire after content on weightloss injections. Pulse Kenya. https://www.pulse.co.ke/story/regulator-warns-fitness-trainer-gachau-about-discussing-weight-loss-injections-online-2025110613372780368
Newman, N., Robertson, C. T., Arguedas, A. R., Nielsen, R. K., & Fletcher, R. (2025). Reuters Institute Digital News Report 2025. Reuters Institute for the Study of Journalism. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2025-06/Digital_News-Report_2025.pdf
Ng, I. K., Thong, C., Tan, L. F., & Teo, D. B. (2024). The rise of medical influencers: The pros and the cons. Journal of the Royal College of Physicians of Edinburgh, 54(3), 231–235. https://doi.org/10.1177/14782715241261736
Njaaga, D. (2025, March 25). KMPDC rolls out SMS service to verify doctors, curb quacks. Standard Media. https://www.standardmedia.co.ke/health/health-science/article/2001514769/kmpdc-rolls-out-sms-service-to-verify-doctors-curb-quacks
Pharmacy and Poisons Act (Cap. 244) (2012). https://www.aca.go.ke/images/downloads/pharmacy-and-poisons-act-cap-244-revised-2002.pdf
Pharmacy and Poisons Board. (2022, February 14). Guideline for Advertisement and Promotion of Health Products and Technologies—Pharmacy and Poisons Board. Pharmacy and Poisons Board. https://web.pharmacyboardkenya.org/download/guideline-for-advertisement-and-promotion-of-health-products-and-technologies/
Simba, H., & Girma, E. (2025). Optimizing social media influencers for health communication in Africa. Global Health Action, 18(1), 2572009. https://doi.org/10.1080/16549716.2025.2572009
Suarez-Lledo, V., & Alvarez-Galvez, J. (2021). Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research, 23(1), e17187. https://doi.org/10.2196/17187
Sundar, S. S. (2008). The MAIN Model: A Heuristic Approach to Understanding Technology Effects on Credibility. In M. J. Metzger & A. J. Flanagin (Eds.), Digital Media, Youth, and Credibility (pp. 73–100). MIT Press. https://doi.org/10.1162/dmal.9780262562324.073
Tully, M., Madrid-Morales, D., Wasserman, H., Gondwe, G., & Ireri, K. (2022). Who is Responsible for Stopping the Spread of Misinformation? Examining Audience Perceptions of Responsibilities and Responses in Six Sub-Saharan African Countries. Digital Journalism, 10(5), 679–697. https://doi.org/10.1080/21670811.2021.1965491
Uganda Communications Commission. (2026). Communications sector performance report, quarter ending March 2026. Uganda Communications Commission. https://www.ucc.co.ug/wp-content/uploads/2026/05/UCC-Market-Report-for-Q1-2026-Mar-2026.pdf
Wasserman, H. (2020). Fake news from Africa: Panics, politics and paradigms. Journalism, 21(1), 3–16. https://doi.org/10.1177/1464884917746861
Wasserman, H., & Madrid-Morales, D. (2019). An Exploratory Study of “Fake News” and Media Trust in Kenya, Nigeria and South Africa. African Journalism Studies, 40(1), 107–123. https://doi.org/10.1080/23743670.2019.1627230
WHO. (2026). Africa Infodemic Response Alliance. World Health Organization. https://www.afro.who.int/aira
Zarocostas, J. (2020). How to fight an infodemic. The Lancet, 395(10225), 676. https://doi.org/10.1016/S0140-6736(20)30461-X
Zenone, M., Kenworthy, N., & Maani, N. (2022). The Social Media Industry as a Commercial Determinant of Health. International Journal of Health Policy and Management, 1. https://doi.org/10.34172/ijhpm.2022.6840
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