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The great AI witch hunt: Reviewers’ perception and (Mis)conception of generative AI in research writing
16 references·5 citing·53 second hop
The great AI witch hunt: Reviewers’ perception and (Mis)conception of generative AI in research writing (2024)The great AI witch hunt: Reviewers’ perce…Using artificial intelligence in academic writing and research: An essential productivity tool (2024)Using artificial intelligence…Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers (2023)Comparing scientific abstract…Co-Writing with Opinionated Language Models Affects Users’ Views (2023)Co-Writing with Opinionated L…ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing (2023)ChatGPT and a new academic re…Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension (2020)Reporting guidelines for clin…Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension (2020)Guidelines for clinical trial…Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry (2020)Artificial intelligence versu…Algorithm appreciation: People prefer algorithmic to human judgment (2019)Algorithm appreciation: Peopl…A systematic review of algorithm aversion in augmented decision making (2019)A systematic review of algori…Thematic analysis (2016)Thematic analysisReaders’ perception of computer-generated news: Credibility, expertise, and readability (2016)Readers’ perception of comput…Journalist versus news consumer : The perceived credibility of machine written news (2014)Journalist versus news consum…Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Algorithm Aversion: People Er…G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)G*Power 3: A flexible statist…Publish or Perish (2005)Publish or PerishThe State of Psychological Ownership: Integrating and Extending a Century of Research (2003)The State of Psychological Ow…The ethics of erroneous AI-generated scientific figures (2025)The ethics of erroneous AI-ge…The end of experimental research as we know it? A perspective on generative artificial intelligence in communication science (2025)The end of experimental resea…Disclosing generative AI use for writing assistance should be voluntary (2025)Disclosing generative AI use …Defining quality in peer review reports: a scoping review (2025)Defining quality in peer revi…A Cross‐Disciplinary Analysis of AI Policies in Academic Peer Review (2025)A Cross‐Disciplinary Analysis…Society and the Adolescent Self-Image (1965)Self-efficacy: Toward a unifying theory of behavioral change. 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References

  • 2007G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences65,813 cited
  • 2016Thematic analysis6,520 cited
  • 2014Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err3,203 cited
  • 2019Algorithm appreciation: People prefer algorithmic to human judgment2,045 cited
  • 2003The State of Psychological Ownership: Integrating and Extending a Century of Research2,027 cited
  • 2023Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers1,097 cited
  • 2023ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing913 cited
  • 2019A systematic review of algorithm aversion in augmented decision making809 cited
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  • 2020Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension552 cited
  • 2020Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension483 cited
  • 2020Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry401 cited
  • 2005Publish or Perish371 cited

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  • 2016Readers’ perception of computer-generated news: Credibility, expertise, and readability312 cited
  • 2023Co-Writing with Opinionated Language Models Affects Users’ Views265 cited
  • 2014Journalist versus news consumer : The perceived credibility of machine written news88 cited
  • Cited by

    • 2025Disclosing generative AI use for writing assistance should be voluntary27 cited
    • 2025Defining quality in peer review reports: a scoping review24 cited
    • 2025The ethics of erroneous AI-generated scientific figures19 cited
    • 2025A Cross‐Disciplinary Analysis of AI Policies in Academic Peer Review17 cited
    • 2025The end of experimental research as we know it? A perspective on generative artificial intelligence in communication science3 cited