YouTube: An international platform for sharing methods of cheating
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study investigated the video sharing website www.youtube.com for the presence of instructional videos that teach students how to cheat on academic work. Videos were analysed to determine the methods of cheating, the popularity of the videos, the demographics of viewers and those uploading the videos, and the opinions of viewers after watching these types of videos. A total of 43 videos were included in this study. Those featured in the videos taught viewers how to cheat on exams, homework, and written assignments using modern and traditional technologies. The far majority of those featured in the videos, and their viewers, were males within the age range of those who attend middle school, high school, and college. Videos were watched by people from several different nations, including the United States (US), Canada, Australia, India, and the United Kingdom (UK). The study's results suggest that instructional cheating videos are popular among students around the world. Positive viewer feedback indicates that the videos have educated and motivated students to put the methods of cheating found in the videos to use. Educators should consider YouTube as a resource in order to become familiar with various methods of cheating.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it