AI-generated cancer prevention influencers can target risk groups on social media at low cost.
This study explores the potential of Artificial Intelligence (AI)-generated social media influencers to disseminate cancer prevention messages. Utilizing a Generative AI (GenAI) application, we created a virtual persona, "Wanda", to promote cancer awareness on Instagram. We created five posts, addre...
| Publicado en: | European Journal of Cancer Vol. 217 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Pergamon Press - An Imprint of Elsevier Science
Feb2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=182855340&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 182855340 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09598049 1VW jtl: European Journal of Cancer issn: 09598049 maglogo: N pubinfo: dt: Feb2025 vid: 217 pid: 2410 pub: Pergamon Press - An Imprint of Elsevier Science artinfo: ui: 182855340 182855340 182855340 10.1016/j.ejca.2025.115251 182855340 ppct: 1 formats: tig: atl: AI-generated cancer prevention influencers can target risk groups on social media at low cost. aug: au: Winterstein, Jana T. Abels, Julia Kuehn, Arlene Carl, Nicolas Wies, Christoph Brinker, Titus J. affil: Division of Digital Prevention, Diagnostics and Therapy Guidance, German Cancer Research Center (DKFZ), Heidelberg, Germany sug: subj: Artificial Intelligence, Generative Utilization Health Promotion Methods Neoplasms Prevention and Control Neoplasms Risk Factors Risk Assessment Health Promotion Economics Social Media Cost Benefit Analysis Human Comparative Studies Descriptive Statistics Automation Algorithms Tobacco Products Utilization Alcohol Drinking Diet Papillomavirus Infections Age Factors Digital Health ab: This study explores the potential of Artificial Intelligence (AI)-generated social media influencers to disseminate cancer prevention messages. Utilizing a Generative AI (GenAI) application, we created a virtual persona, "Wanda", to promote cancer awareness on Instagram. We created five posts, addressing the five most modifiable risk factors for cancer: tobacco consumption, unhealthy diet, sun exposure, alcohol consumption, and Human Papillomavirus (HPV) infection. To amplify the campaign's reach, posts were boosted using a custom-targeted as well as an automated advertisement algorithm. An overall budget of €100 was equally distributed between the two algorithms. Campaign performance was assessed based on the number of users reached and the age distribution of the audience. The campaign achieved a total of 9902 recognitions, with a cost-efficiency analysis revealing an average expenditure of €0.013 per reach. The most economical intervention achieved a cost of only €0.006 per reach. In comparing the two advertisement strategies, we observed similar overall reach but noted differences in the age demographics of the audience. Our findings underscore the potential of combining generative AI with strategically targeted advertisement to promote cancer prevention messages effectively, with minimal time and financial investment. We discuss chances presented by GenAI applications in health communication, their implication, and the impact of parasocial relationships on content perception. This study highlights the potential of AI-driven influencers as scalable tools for digital health communication. • AI-generated influencers pioneer a scalable approach to cancer prevention campaigns. • Campaigns achieved nearly 10,000 recognitions on Instagram with a €100 budget. • Five key cancer risk factors targeted: tobacco, diet, sun exposure, alcohol, HPV. • Study compares cost efficiency of targeted and automated advertisement algorithms. • Generative AI offers a low-cost, impactful tool for digital health communication. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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