Exploiting GPT for synthetic data generation
An empirical study
Bibliographic Data
| ID | 6426510 |
|---|---|
| Authors | Tony Busker (0000-0003-4731-3058), Sunil Choenni (0000-0003-2772-6330), Mortaza S Bargh (0000-0001-5395-456X) |
| Year | 2024 |
| Volume | 42 |
| Issue | 1 |
| Pages | 101988-101988 |
| Publication date | 2024-12-19 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Government Information Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 0740-624X • E-ISSN: 1872-9517 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.giq.2024.101988 |
| OpenAlex | W4405587674 |
| Language | EN |
| Citations received | 2 |
| References cited | 22 |
Data science · Computer Science · Data Stream Mining Techniques · Imbalanced Data Classification Techniques · Privacy-Preserving Technologies in Data
“Cloze Procedure”
Semantics derived automatically from language corpora contain human-like biases
Crowdsourcing a Word–emotion Association Lexicon
Education in the Era of Generative Artificial Intelligence (AI)
ChatGPT for good? On opportunities and challenges of large language models for education
Synthetic Datasets for Statistical Disclosure Control
Chatting with ChatGPT
The Sage Handbook of Prejudice, Stereotyping and Discrimination
ChatGPT
Digging for Nuggets
Assessing behavioral data science privacy issues in government artificial intelligence deployment
The usefulness of algorithmic models in policy making
Internet information-seeking and its relation to support for access to government records
Big and Open Linked Data (Bold) in government
Discerning the effect of privacy information transparency on privacy fatigue in e-government
Privacy concerns in smart cities
On design and deployment of two privacy-preserving procedures for judicial-data dissemination
| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |