THE DIGITAL DATA DOUBLE STANDARD: ECONOMIC VALUE EXTRACTION VERSUS SCIENTIFIC KNOWLEDGE LIMITATION AND THE OPPORTUNITIES OF DATA DONATION

Social science research with digital data faces ethical and technical chal lenges, often intensified by Research Ethics Committees (RECs). While RECs provide oversight, their criteria—rooted in medical fields—may not align with social research, especially in qualitative studies. This paper introduces the concept of a “digital data double standard,” highlighting how private platforms exploit vast user data while researchers face strict access limitations. In the post-API era, alternative methods like scraping and tracking are explored, with “data donation” emerging as a promising solution. This approach allows users to voluntarily share their digital traces, balancing ethical compliance and research needs. By embracing data donation, RECs could better support digital social research, address ing the growing gap between corporate data use and academic inquiry.