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@ARTICLE{Winterstein:298181,
      author       = {J. Winterstein$^*$ and J. Abels$^*$ and A. Kuehn$^*$ and N.
                      Carl$^*$ and C. Wies$^*$ and T. Brinker$^*$},
      title        = {{AI}-generated cancer prevention influencers can target
                      risk groups on social media at low cost.},
      journal      = {European journal of cancer},
      volume       = {217},
      issn         = {0959-8049},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {DKFZ-2025-00200},
      pages        = {115251},
      year         = {2025},
      note         = {#EA:C140#LA:C140#},
      abstract     = {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.},
      keywords     = {AI-generated influencers (Other) / Cancer prevention
                      (Other) / Digital health campaigns (Other) / GenAI (Other) /
                      Health communication (Other) / Risk groups (Other) / Social
                      media (Other) / Targeted prevention (Other)},
      cin          = {C140},
      ddc          = {610},
      cid          = {I:(DE-He78)C140-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39842364},
      doi          = {10.1016/j.ejca.2025.115251},
      url          = {https://inrepo02.dkfz.de/record/298181},
}