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Evaluating the accuracy and reliability of AI content detectors in academic contexts
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References

  • 2023Chatting and cheating: Ensuring academic integrity in the era of ChatGPT3,054 cited
  • 2023Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond834 cited
  • 2023Testing of detection tools for AI-generated text577 cited
  • 2023Evaluating the efficacy of AI content detection tools in differentiating between human and AI-generated text387 cited
  • 2024Students’ perceptions of ‘AI-giarism’: investigating changes in understandings of academic misconduct126 cited
  • 2024Simple techniques to bypass GenAI text detectors: implications for inclusive education116 cited
  • 2024Diversity and language technology: how language modeling bias causes epistemic injustice109 cited
  • 2024Convergence of artificial intelligence with social media: A bibliometric & qualitative analysis78 cited
  • 2024The great detectives: humans versus AI detectors in catching large language model-generated medical writing56 cited

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