The advent of large language models (LLMs) has triggered concerns about various issues, one of which is plagiarism. In contrast with two long-standing types of human plagiarism, competitive and institutionalised, LLMs introduce a new type, which can be called automated plagiarism. There are many possible responses to it, including ignoring it, banning it, polluting it, exposing it, labelling it and suing for copyright infringement. The rise of automated plagiarism may stimulate thinking about alternative ways of allocating credit for human creative work.

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Issues
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Generative artificial intelligence in qualitative analysis: a critical examination of tools, trust and rigor
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‘Foreignize yourself’. What has translation to do with innovation? A translation studies approach to hybrid innovation
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From tools to symbols: exploring the complex nexus of smartphones in Bangladesh
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Impoverishing peer review
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Do AIs have politics? Thinking about ChatGPT through the work of Langdon Winner