Seek and ye shall find bias: ethical issues in social science research employing big data

This talk is focused on the ethical aspects of the use and reuse of big data sets in social science research. Using specific examples connected to the functioning of big data technologies, such as algorithmic bias and inaccuracy of data collection methods, we highlight the unreliability of research projects that employ big data sets. Moreover, we highlight the interpretative nature of social sciences, which can make research results susceptible to researchers’ prejudices. Accordingly, we argue that the use of big data in social science research should be scrutinised to a higher degree as it raises ethical concerns that are either unique to big data social science research or more pronounced than in STEM disciplines. Since current research ethics frameworks do not address these ethical issues, we propose the development of specific guidelines