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What Does YouTube Advise Students About Bypassing AI-Text Detection Tools? A Pragmatic Analysis
Journal of Academic Ethics, Volume: 24, Issue: 1, Start page: 8
Swansea University Author:
Phil Newton
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© The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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DOI (Published version): 10.1007/s10805-025-09675-3
Abstract
This study investigates how YouTube videos are advising university students to use ChatGPT, focusing on two main aspects: bypassing detection tools for AI-generated text in written assignments and leveraging ChatGPT as a study tool, using thematic analysis of transcripts from 173 YouTube videos. Vid...
| Published in: | Journal of Academic Ethics |
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| ISSN: | 1570-1727 1572-8544 |
| Published: |
Springer Nature
2026
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70556 |
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2025-10-25T06:47:38Z |
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2025-10-24T14:19:40.1082748 v2 70556 2025-10-02 What Does YouTube Advise Students About Bypassing AI-Text Detection Tools? A Pragmatic Analysis 6e0a363d04c407371184d82f7a5bddc8 0000-0002-5272-7979 Phil Newton Phil Newton true false 2025-10-02 MEDS This study investigates how YouTube videos are advising university students to use ChatGPT, focusing on two main aspects: bypassing detection tools for AI-generated text in written assignments and leveraging ChatGPT as a study tool, using thematic analysis of transcripts from 173 YouTube videos. Videos promoting the bypass of AI-generated text detection emphasize methods such as using AI detectors, “humanizing” text through rewriters, and blending AI-generated content with manual edits. Videos advocating for ChatGPT as a study tool highlight its potential for personalized learning, creating study materials, self-testing, goal setting, and language learning, but also suggest unethical use for assignment completion. Our findings underscore the unreliability of essays in unsupervised environments due to the ease of generating undetectable AI content, suggesting the need for a more diverse range of assessment methods. Furthermore, we recommend that educators guide students in ethical AI use and integrate positive AI applications into their teaching practices. Journal Article Journal of Academic Ethics 24 1 8 Springer Nature 1570-1727 1572-8544 Generative artificial intelligence; Cheating; ChatGPT; YouTube; Bypassing detection 1 3 2026 2026-03-01 10.1007/s10805-025-09675-3 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2025-10-24T14:19:40.1082748 2025-10-02T08:36:38.2517163 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Tomáš Foltýnek 1 Phil Newton 0000-0002-5272-7979 2 70556__35474__92ef6465c7cd479faf7a8d8b5d9608d9.pdf 70556.VOR.pdf 2025-10-24T14:13:29.2146374 Output 992036 application/pdf Version of Record true © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). true eng http://creativecommons.org/licenses/by/4.0/ |
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What Does YouTube Advise Students About Bypassing AI-Text Detection Tools? A Pragmatic Analysis |
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What Does YouTube Advise Students About Bypassing AI-Text Detection Tools? A Pragmatic Analysis Phil Newton |
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| description |
This study investigates how YouTube videos are advising university students to use ChatGPT, focusing on two main aspects: bypassing detection tools for AI-generated text in written assignments and leveraging ChatGPT as a study tool, using thematic analysis of transcripts from 173 YouTube videos. Videos promoting the bypass of AI-generated text detection emphasize methods such as using AI detectors, “humanizing” text through rewriters, and blending AI-generated content with manual edits. Videos advocating for ChatGPT as a study tool highlight its potential for personalized learning, creating study materials, self-testing, goal setting, and language learning, but also suggest unethical use for assignment completion. Our findings underscore the unreliability of essays in unsupervised environments due to the ease of generating undetectable AI content, suggesting the need for a more diverse range of assessment methods. Furthermore, we recommend that educators guide students in ethical AI use and integrate positive AI applications into their teaching practices. |
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2026-03-01T07:53:15Z |
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