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Recent advances in large-scale data storage and processing offer unprecedented opportunities for behavioral scientists to collect and analyze naturalistic data, including from underrepresented groups. Audio data, particularly real-world audio recordings, are of particular interest to behavioral scientists because they provide high-fidelity access to subtle aspects of daily life and social interactions. However, these methodological advances pose novel risks to research participants anddoi:10.3758/s13428-020-01365-9 pmid:32103465 pmcid:PMC7483614 fatcat:gla4h2k5bzdllbyz6p3rjdi2iq