Non-compliance with and non-enforcement of UK loot box industry self-regulation on the Apple App Store: A longitudinal study on poor implementation
Notice bibliographique
Résumé
Loot boxes in video games can be purchased with real-world money in exchange for random rewards. Stakeholders are concerned about loot boxes’ similarities with gambling and their potential harms (e.g., overspending money and developing gambling problems). The previous Conservative UK Government decided to first try relying on industry self-regulation to address the issue, rather than to impose legislation. These self-regulations have since been published by the industry trade body, Ukie (UK Interactive Entertainment). Responding to many stakeholders’ desire for a transparent and independent assessment of their implementation, we assessed companies’ compliance with three empirically testable measures and also whether the rules were actively enforced. The 100 highest-grossing iPhone games were longitudinally examined both prior to the self-regulations coming into effect on 18 July 2024 (i.e., between January and June 2024) and after to check for potential improvement (i.e., between July and December 2024). Disappointingly, widespread non-compliance and non-enforcement were observed. Amongst games with loot boxes, none (0.0%) sought to obtain explicit parental consent prior to enabling loot box purchasing by under-18s. Only 23.5% disclosed loot box presence, and the few disclosures were all visually obscured and difficult to access. A mere 8.6% consistently disclosed the probabilities of obtaining different rewards for all loot boxes found. The rules were not enforced, contrary to Ukie’s promise: all of the games that were non-compliant before the self-regulations came into effect remained non-compliant many months later, despite Ukie and the Apple App Store having been provided with evidence of the contraventions and put on notice to delist those games if remedial actions were not forthcoming. Platforms (e.g., app stores), the advertising regulator, and the consumer protection regulators must better enforce pre-existing rules to ensure adequate consumer protection as already promised. Video games and loot boxes are no longer novel; laws that apply to all industries must also be enforced against this one. Governments are advised against relying on industry self-regulation, especially after repeated demonstrations of its many failings. Stricter legal regulation of loot boxes should be adopted. Preregistered Stage 1 protocol: https://doi.org/10.17605/OSF.IO/3KNYB (date of in-principle acceptance: 25 March 2024).
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».