An Overview of Child Abuses in 3D Social Networks and Online Video Games
Bibliographic record
Abstract
It appears that child pornography distribution and child abuses on the Internet have permeated to massively multiplayer online role-playing video games (MMORPG) and 3D social networks, such as Second Life (SL), a compelling online virtual world where millions of users have registered. Although SL is intended for general entertainment in its adult (over 18) version, cases of simulated pedophilia have been reported inside SL’s virtual world, generated by some of its users, employing SL communication capabilities to trade and show child pornography images to exchange related text messages. This chapter provides a literature review on child pornography in MMORPGs and other 3D social networks including SL, as well as policy and network approaches for overcoming child abuse. A review on ethical and legal issues of dealing with child pornography and other types of child abuse in 3D social networks and MMORPGs is also addressed in this chapter.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".