--- title: "Who cites Linguistic Bias in ChatGPT: — 36 citing papers" description: "36 papers of the Elamur Research library cite «Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination», found in their…" canonical: "https://research.elamur.ai/free/en/papers/fleisig-2024-linguistic-bias-chatgpt-language-models/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/fleisig-2024-linguistic-bias-chatgpt-language-models/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Linguistic Bias in ChatGPT: Language Models…](https://md.research.elamur.ai/free/en/papers/fleisig-2024-linguistic-bias-chatgpt-language-models/) / cited by # Who cites «Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination» 36 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← back to «Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination»](https://md.research.elamur.ai/free/en/papers/fleisig-2024-linguistic-bias-chatgpt-language-models/) 1. [**Generative AI and linguistic diversity in academic writing and publishing: Perspectives from World Englishes arXiv:2607.28505 · Generative AI and linguistic diversity in academic writing and publishing: Perspectives from World Englishes. Journal of English for Research Publication Purposes, 2025, 6(2), 265-289**Kingsley Ugwuanyi, Christian Mair, Sender Dovchin, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/ugwuanyi-2026-generative-ai-linguistic-diversity-academic/) 2. **[Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots](https://md.research.elamur.ai/free/en/papers/finch-2025-finding-voice-exploring-potential-african/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sarah E. Finch, Ellie S. Paek, Ikseon Choi, et al.*2025 · 3 citations* 3. **[Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties](https://md.research.elamur.ai/free/en/papers/lee-2025-trans-env-framework-evaluating-linguistic/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jiyoung Lee, Seungho Kim, Jieun Han, et al.*2025 · 3 citations* 4. [**AI systems and the reproduction of (standard) language ideologies in World Englishes arXiv:2607.28528**Kingsley Ugwuanyi*2026*](https://md.research.elamur.ai/free/en/papers/ugwuanyi-2026-ai-systems-reproduction-standard-language/) 5. [**An Investigation of Linguistic Biases in LLM-Based Recommendations arXiv:2604.25456**Nitin Venkateswaran, Jason Ang, Deep Adhikari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/venkateswaran-2026-investigation-linguistic-biases-llm-based/) 6. **[Can I guess where you are from? Modeling dialectal morphosyntactic similarities in Brazilian Portuguese](https://md.research.elamur.ai/free/en/papers/siqueira-2026-can-i-guess-where-you/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Manoel Siqueira, Raquel Freitag*2026* 7. [**DialectLLM: A Dialect-Aware Dialogue Generation Framework Beyond Standard American English arXiv:2601.22888**Jio Oh, Paul Vicinanza, Thomas Butler, et al.*2026*](https://md.research.elamur.ai/free/en/papers/oh-2026-dialectllm-dialect-aware-dialog-ue/) 8. [**DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation arXiv:2607.07669**Jordan Painter, Dipankar Srirag, Adarsh Kappiyath, et al.*2026*](https://md.research.elamur.ai/free/en/papers/painter-2026-diallm-investigation-robustness-generation-gap/) 9. [**Evaluating the Usage of African-American Vernacular English in Large Language Models arXiv:2602.21485**Deja Dunlap, R. Thomas McCoy*2026*](https://md.research.elamur.ai/free/en/papers/dunlap-2026-evaluating-usage-african-american-vernacular/) 10. **[From a River in Gilead to the Inference Distributions of Large Language Models: Covert Dialect Bias and Linguistic Profiling at Scale](https://md.research.elamur.ai/free/en/papers/abdullah-2026-river-gilead-inference-distributions-large/) [Proceedings of the AAAI/ACM Conference on AI Ethics and Society](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/)**Chowdhury Mohammad Abdullah, Rita Orji*2026* 11. [**How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline arXiv:2604.04204**Mir Tafseer Nayeem, Davood Rafiei*2026*](https://md.research.elamur.ai/free/en/papers/nayeem-2026-english-us-become-default-triangulating/) 12. [**LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering arXiv:2607.06845**Huan Wu, Ali Emami, Muhammad Furquan Hassan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-llms-silently-correct-african-american/) 13. **[Side-by-side Comparison Amplifies Dialect Bias in Language Models](https://md.research.elamur.ai/free/en/papers/kondapally-2026-side-side-comparison-amplifies-dialect/) [ACM Conference on Fairness, Accountability, and Transparency (FAccT)](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/)**Kritee Kondapally, Claire J. Smerdon, Pooja C. Patel, et al.*2026* 14. [**Some Dialects Are More Equal Than Others: Non-Prestigious Arabic Dialectal Bias in LLMs arXiv:2609.23955**Mai Mohamed Eida, Ryan Dolan, Paul de Nijs, et al.*2026*](https://md.research.elamur.ai/free/en/papers/eida-2026-some-dialects-more-equal-than/) 15. **[When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026* 16. [**Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM Responses arXiv:2511.23041**Dong Nguyen, Laura Rosseel*2025*](https://md.research.elamur.ai/free/en/papers/nguyen-2025-social-perceptions-english-spelling-variation/) 20 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/fleisig-2024-linguistic-bias-chatgpt-language-models/) — Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination