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Detecting ChatGPT-generated essays in a large-scale writing assessment: Is there a bias against non-native English speakers?
5 references·6 citing·43 second hop
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this work references cited by second hop

References

  • 2011Effect size estimates: Current use, calculations, and interpretation.5,186 cited
  • 2023Chatting and cheating: Ensuring academic integrity in the era of ChatGPT3,054 cited
  • 2021Algorithmic Bias in Education988 cited
  • 2023Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review412 cited
  • 2023Detection of GPT-4 Generated Text in Higher Education: Combining Academic Judgement and Software to Identify Generative AI Tool Misuse231 cited

Cited by

  • 2025Generative AI and Second Language Writing58 cited
  • 2025AI for scientific integrity: detecting ethical breaches, errors, and misconduct in manuscripts30 cited
  • 2024AI chatbots: A disguised enemy for academic integrity?26 cited
  • 2025GenAI synthetic data create ethical challenges for scientists. Here’s how to address them.20 cited
  • 2024Using Keystroke Behavior Patterns to Detect Nonauthentic Texts in Writing Assessments: Evaluating the Fairness of Predictive Models13 cited
  • 2025Bias and stereotyping: Human and artificial intelligence (AI)10 cited

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