Cheat dossier

Pay-to-Win Mechanics

Gaining significant competitive advantage through in-game purchases or monetized advantages.

Overview

Classification

This dossier summarizes the cheat definition, the affected OSI layer, and the evidence attached to the record.

1 Academic articles
0 Linked evidence
0 Known cases
Dossier Facts

Definition

Gaining significant competitive advantage through in-game purchases or monetized advantages.

What OSI Layer This Cheat Affects

Layer 7 (Application)

Other Information

Gaining significant competitive advantage through in-game purchases or monetized advantages.

Academic Evidence

Supporting Academic Articles

Peer-reviewed and academic literature connected to this cheat, with DOI or URL references attached where available.

Pay to Win or Pay to Cheat: How Players of Competitive Online Games Perceive Fairness of In-Game Purchases

Guo Freeman et al.

Proc. ACM Hum.-Comput. Interact. 6 CHI PLAY Article 247 (October 2022)

Target: Pay-to-win mechanics, functional in-game purchases creating unfair advantages

Aim: Freeman, G., Wu, K., Nower, N., & Wohn, D. Y. (2022). Pay to win or pay to cheat: How players of competitive online games perceive fairness of in-game purchases. Proc. ACM Hum.-Comput. Interact., 6, CHI PLAY, Article 247.

Recommendation: (Freeman et al., 2022)

No external DOI or URL link is attached yet.

White Papers

Supporting or Related White Papers

Reviewed white papers and adjacent technical reports approved for this dossier.

No approved white papers are linked to this dossier yet.
OSINT Sources

Other Approved OSINT Sources

Reviewed non-academic sources such as news, forums, archives, or enforcement materials.

No other approved OSINT sources are linked to this dossier yet.
Cases

Known Cases

Named incidents, documented examples, or sanctions associated with this cheat category.

No known cases are linked to this dossier yet.