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Developing Automated Text Anonymization for Ethical Data Sharing

Video Type: Case Study

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Summary

Bennett Kleinberg, PhD, assistant professor, Department of Methodology & Statistics, Tilburg University, discusses developing automated text anonymization for ethical data sharing, including building and evaluating an anonymization tool, the motivated intruder test, evaluation of Text Wash results, and the future of anonymization.

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References
References

Further Reading

Kleinberg, B, Mozes , M, & Davies, T(2019).Making sensitive text data accessible for computational social science. SAGE Ocean, https://ocean.sagepub.com/blog/making-sensitive-text-data-accessible-for-computational-social-science

Further Reading

Kleinberg, B, Mozes , M, & Davis, T(2019).What does it mean to anonymize text?. SAGE Ocean, https://ocean.sagepub.com/blog/what-does-it-mean-to-anonymize-text

Further Reading

Mozes, M, & Kleinberg, B(2021).No intruder, no validity: Evaluation criteria for privacy-preserving text anonymization. arXiv.org, 5.

Further Reading

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