The principles-based approach, question-oriented approach and normative frameworks do not help us to understand how our subjects might experience their data being used for research. This is an emerging area of research that might in the long term clarify many questions about informed consent or questions related to data storage. Participants' perceptions are important lenses to guide how researchers should perceive the ethical challenges.
Studies of participants' perspectives on big data research are currently emerging. (Fiesler and Proferes, 2018) studied questions about data use for research in Twitter. They used a panel of a U.S.-based population accessed via the Mechanical Turk. The results indicated that their consideration if their data can be used may change based on the topic of the study (for 60% of participants), size of data set (46%) or even if the analysis is done by human or via computational analysis (40%). Over half of the participants would be uncomfortable if their contributions were attributed to their Twitter handle in the work, i.e. made recognisable. Similarly, Hallinan et al. (2020) examined reactions people had about the Facebook emotional contagion study, observing how the responses also demonstrated different relationships people perceived between them and the platform. These papers further highlight the difficulties of large-scale data collection and ethical considerations about them. People might have diverse understandings about what contributes towards ethical research.