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Digital Behavioral Data (DBD) has become an invaluable resource for researchers across the social sciences, offering unprecedented insights into human behavior and social phenomena. The collection and use of such data raise significant ethical concerns that researchers must carefully navigate. This guide provides an overview of the ethical considerations in DBD research, addressing both platform-centered and user-centered approaches. It explores key ethical challenges throughout the research process, from study design and data collection to processing and analysis, publication and data sharing. It discusses critical issues, such as informed consent, data minimization, privacy or inferring user attributes. In addition to outlining key ethical issues, the guide discusses helpful resources and provides recommendations to help researchers conduct ethically sound DBD studies while maximizing the value of their research. As the landscape of DBD research continues to evolve, this guide is meant to serve as a resource for researchers, ethics committees, and policymakers seeking to balance scientific advancement with the protection of individual rights and privacy in research with DBD.
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