Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models Tillmann, Arne Kqiku, Lindrit Reinhardt, Delphine Weisser, Christoph Säfken, Benjamin Kneib, Thomas The Institute of Electrical and Electronics Engineers, Inc. Ieee 2022 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://www.hsbi.de/publikationsserver/record/6945 Tillmann A, Kqiku L, Reinhardt D, Weisser C, Säfken B, Kneib T. Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models. In: The Institute of Electrical and Electronics Engineers, Inc., ed. <i>Proceedings of the 2022 IEEE SmartWorld, Ubiquitous Intelligence &#38; Computing, Scalable Computing &#38; Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous &#38; Trusted Vehicles, IoP, &#38; SCI</i>. Piscataway, nj: Ieee; 2022:2325-2332. doi:<a href="https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00365">10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00365</a> eng info:eu-repo/semantics/altIdentifier/doi/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00365 info:eu-repo/semantics/altIdentifier/isbn/979-8-3503-4655-8 info:eu-repo/semantics/closedAccess