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20162024
most citedUsing Neural Generative Models to Release Synthetic Twitter Corpora with Reduced Stylometric Identifiability of Users

3 citations · 5 across the 7 of their papers we have counts for

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cs.CL2016★ 3 cited

Using Neural Generative Models to Release Synthetic Twitter Corpora with Reduced Stylometric Identifiability of Users

Alexander G. Ororbia, Fridolin Linder, Joshua Snoke

We present a method for generating synthetic versions of Twitter data using neural generative models. The goal is protecting individuals in the source data from stylometric re-iden…

stat.AP2016

General and specific utility measures for synthetic data

Joshua Snoke, Gillian Raab, Beata Nowok +2

Data holders can produce synthetic versions of datasets when concerns about potential disclosure restrict the availability of the original records. This paper is concerned with met…