Jetzt erschienen: “Social Media Advertising for Clinical Studies: Ethical and Data Protection Implications of Online Targeting” (mit Theresa Willem)

In diesem Artikel diskutieren wir die die Datenethik- und Datenschutzfolgen von Online-Werbung auf sozialen Medien. Unsere Studie zeigt am Beispiel von Online-Werbung für klinische Studien (Forschung zu neuen Medikamenten oder Therapien), dass personalisierte Werbung es Plattformen wie Google oder Facebook ermöglicht, Vorhersagemodelle für die betreffenden Krankheiten zu trainieren. Diese können auf beliebige Menschen angewendet werden, auch auf Nutzer:innen, die die Werbung selbst nie gesehen haben, um vorherzusagen, ob sie an der betreffenden Krankheit leiden.

Abstract: Social media advertising has revolutionised the advertising world by providing data-driven targeting methods. One area where social media advertising is just gaining a foothold is in the recruitment of clinical study participants. Here, as everywhere, social media advertising promises more yield per money spent because the technology can better reach highly specialised groups. In this article, we point out severe societal risks posed by advertising for clinical studies on social media. We show that social media advertising for clinical studies in many cases violates the privacy of individual users (R1), creates collective privacy risks by helping platform companies train predictive models of medical information that can be applied to all their users (R2), exploits the weaknesses of existing guidelines in (biomedical) research ethics (R3) and is detrimental to the quality of (biomedical) research (R4). We argue that the well-intentioned promises, which are often associated with the use of social media advertising for clinical studies, are untenable from a balanced point of view. Consequently, we call for updates of research ethics guidelines and better regulation of Big Data and inferential analytics. We conclude that social media advertising – especially with vulnerable patient populations – is not suitable as a recruitment tool for clinical studies as long as the processing of (even anonymised) social media usage data and the training of predictive models by data analytics and artificial intelligence companies is not sufficiently regulated.

Download und bibliographische Angaben

1. 

   Mühlhoff, Rainer, und Theresa Willem. 2023. „Social Media Advertising for Clinical Studies: Ethical and Data Protection Implications of Online Targeting“. Big Data & Society, 1–15. doi:10.1177/20539517231156127.

   Full text bibtex

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   @article{Mü-Willem2022,
     author = {Mühlhoff, Rainer and Willem, Theresa},
     title = {Social Media Advertising for Clinical Studies: Ethical and Data Protection Implications of Online Targeting},
     journal = {Big Data & Society},
     page = {1–15},
     year = {2023},
     doi = {10.1177/20539517231156127},
     web_group = {papers},
     web_thumbnail = {/assets/images/publications/Mü-Willem2022.jpg},
     web_fulltext = {/media/publications/mühlhoff_willem_2023_social_media_advertising_for_clinical_studies.pdf}
   }