GEMCo: A Validated, Ethically Releasable Proxy for Inaccessible Counselling Data

📅 2026-07-26
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the scarcity of publicly available real-world counseling data due to privacy and ethical constraints, which hinders linguistic research in mental health support. To overcome this limitation, the authors construct and validate GEMCo—the first openly accessible German-language email-based counseling proxy dataset—comprising 86 fully authored dialogues and expert-simulated cases. Through comparative analysis along dimensions of counselor strategies and client emotions against a reference set of 124 authentic dialogues, complemented by generative validation, the study demonstrates that while differences between GEMCo and real data are detectable, they remain minimal, thereby confirming the dataset’s validity. Beyond providing the field’s inaugural open resource, this work introduces a generalizable methodology for constructing and validating proxy data applicable to other sensitive domains.
📝 Abstract
This paper presents GEMCo, a releasable, human-written proxy for inaccessible counselling data: 86 complete German e-mail counselling conversations (728 messages), expert-authored cases and counsellor sessions with trained role-players. It is validated against a held-out reference of 124 real counselling conversations. The proxy and the real conversations are measured against each other in counsellor strategies and client emotions. The gap is detectable but small. A generative validation supports the analysis. The validation method itself generalises to any domain where real data cannot be shared but a human-made proxy can. Privacy and ethics keep real counselling data closed. GEMCo carries none by design and can be released -- a first step toward language research in this domain.
Problem

Research questions and friction points this paper is trying to address.

counselling data
privacy
ethics
data accessibility
language research
Innovation

Methods, ideas, or system contributions that make the work stand out.

proxy data
validated dataset
ethical AI
counselling conversations
generative validation