Duty-Related CrimesCorporate Anti-CorruptionFalse Invoicing

Game Companies Intensify Anti-Corruption Efforts: Risk Mapping in Publishing, User Acquisition, and Art Departments

游戏公司重拳反腐:发行、买量、美术部门反腐风险点排查

January 12, 2026
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Summary

This article analyzes corruption and fraud risks within game companies, focusing on the publishing, user acquisition, and art departments as high-incidence areas for duty-related crimes. Drawing on recent industry cases and operational practices, it identifies common fraud schemes, outlines investigative methods for detecting red flags, and proposes a comprehensive governance framework integrating technical safeguards, process restructuring, and cultural mechanisms. The article emphasizes transparency, data-driven oversight, and internal checks-and-balances as core tools for preventing corruption at its source.

On July 2, 2025, Bilibili sent an internal email to all full-time employees, notifying them of the illegal conduct of Zhang Zaimin, former General Manager of the Game Cooperation Department. The notice stated that during his tenure at Bilibili, Zhang engaged in serious duty-related criminal conduct, and that he has been lawfully arrested by public security authorities.

On the previous day, July 1, 2025, Perfect World also issued an internal announcement regarding an anti-corruption investigation, stating that multiple individuals had seriously violated company policies and labor contract provisions during their employment, and that certain employees and heads of supplier entities were suspected of criminal offenses. The company has since reported the matter to public security authorities.

Corruption and fraud within game companies have proven difficult to eradicate at the root. Notably, the publishing, user acquisition (UA), and art departments have become high-incidence areas for duty-related crimes. Based on publicly available cases and industry practice, this article categorizes high-risk scenarios by department, outlines specific methods for clue identification, and summarizes key investigative pathways.


Art Department: A High-Risk Area for Outsourcing Corruption

(I) Common Fraud Schemes

  1. Kickbacks in Outsourcing:
    Accepting bribes from suppliers in exchange for prioritizing the allocation of high-budget projects.

  2. Inflated Labor Costs:
    Falsely reporting outsourcing personnel work hours or unit prices, with the price difference shared with suppliers.

  3. Related-Party Transactions:
    Establishing outsourcing companies under the names of relatives or close associates to undertake company business at inflated prices.

(II) Methods for Clue Identification

(Translated from the original sheet)


User Acquisition Department: Frequent “Black Box” Traffic Manipulation

(I) Common Fraud Schemes

  1. Falsification of User Quality:
    Using low-cost, low-quality users (such as bots or fraudulent traffic) to impersonate high-value users, thereby misappropriating budget differentials.

  2. Rebates and Kickbacks:
    Receiving rebates from advertising agencies or platforms and concealing such income without recording it in company accounts.

  3. Collusion with Channels to Inflate Metrics:
    Colluding with distribution channels to artificially inflate download volumes or daily active user (DAU) figures to fraudulently obtain company budgets.

(II) Methods for Clue Identification

(Translated from the original sheet)


Publishing Department: Resource Exchange and Offline Corruption

(I) Common Fraud Schemes

  1. Channel Resource Favoritism:
    Accepting bribes from channel partners and improperly granting recommendation slots or traffic advantages (such as featured exposure on app store homepages).

  2. Falsified Marketing Activities:
    Fabricating celebrity endorsements or cross-industry marketing projects, inflating marketing budgets, and colluding with suppliers to issue false invoices in order to siphon funds.

  3. Supplier Benefit Transfers:
    Selecting related-party suppliers and receiving kickbacks.

(II) Methods for Clue Identification

1. Data Penetration and Cross-Comparison

  1. Compare market benchmark prices with actual contract prices (such as celebrity endorsement fees or advertising slot quotations) to identify abnormal contracts with premiums exceeding 30%.

  2. Trace supplier equity structures to identify enterprises affiliated with employees’ relatives, using tools such as Qichacha or Tianyancha to penetrate to the ultimate beneficial owner.

2. Process and Log Audits

  1. Review channel resource allocation logs, focusing on abnormal behaviors such as operations conducted outside working hours or frequent modifications to recommendation rules.

  2. Verify marketing campaign performance data, such as whether user growth during celebrity endorsement periods aligns with the level of investment.

3. Fund Flow Tracing

  1. Conduct spot checks on large marketing expenditures, with particular attention to third-party company accounts, and trace the ultimate destination of funds (e.g., whether funds flow into accounts associated with employees).


Comprehensive Governance Framework: From Clue Discovery to Closed-Loop Management

(I) Technical Safeguards

  1. Blockchain Evidence Preservation:
    Upload procurement contracts, user acquisition data, and outsourcing delivery records onto blockchain systems to prevent tampering.

  2. AI Behavioral Analysis:
    Monitor employee behavior, such as frequent access to sensitive data or bulk downloading of files prior to resignation.

(II) Process Restructuring

  1. Separation of Powers:
    Divide authority over supplier selection, contract approval, and acceptance/payment processes.

  2. Surprise Rotation:
    Implement mandatory periodic rotation for high-risk positions, such as UA operators and art outsourcing managers.

(III) Cultural Governance

  1. Whistleblower Rewards:
    Establish anonymous reporting channels and reward verified fraud leads with 10%–20% of the amount involved.

  2. Supplier Blacklists:
    Create and share industry-wide blacklists to increase the cost of bribery.


Closing Remarks

The root causes of corruption in the game industry lie in opaque resource pricing power and difficulty in supervising closed operational loops. It is recommended to adopt a governance approach centered on data penetration and checks-and-balances of authority. By locking decision traces in publishing, anchoring user value authenticity in user acquisition, and dismantling black-box outsourcing pricing in art departments, companies can effectively compress the space for fraud at its source and shift from post hoc investigation to proactive prevention.

中文原文

今日(2025年7月2日),B站向全体正式员工发送邮件,通报了原游戏合作部总经理张再敏的违法行为,称其在B站工作期间存在严重的职务犯罪行为,并表示其已经被公安机关依法逮捕。

昨日(2025年7月1日),完美世界也针对反腐调查发布了内部公告,表示多人在职期间严重违反公司制度及劳动合同约定,个别员工及供应商负责人涉嫌违法犯罪,现已向公安机关报案。

游戏公司内部的腐败舞弊现象屡禁不止,难以从根源上解决问题。特别的是,游戏发行、买量、美术三大部门的职务犯罪高发态势。本文基于公开案例与行业实践,分部门梳理高风险环节及摸排线索的具体方法,总结关键线索发现路径。


美术部门:外包腐败重灾区

(一)舞弊手法

1、外包吃回扣:收取供应商贿赂,优先分配高预算项目。  

2、虚增人力成本:虚报外包人员工时或单价,差价与供应商分成。

3、关联交易::以亲朋好友名义设立外包公司,高价承接公司业务。

(二)线索摸排方法

买量部门:流量黑箱操作高发


(一)舞弊手法

1、用户质量造假:用低价低质用户冒充高价高质用户(如机器人刷量),套取差价。  

2、返点回扣:从广告代理平台获取返点,隐瞒不入账。

3、渠道合谋刷量:与渠道方勾结虚增下载量、日活数据,骗取公司预算。

(二)线索摸排方法

发行部门:资源置换与线下腐败

(一)舞弊手法

1、渠道资源倾斜:收受渠道方贿赂,违规给予推荐位、流量倾斜(如应用商店首页曝光)。  

2、营销活动虚报:虚构明星代言、异业合作项目,虚增活动预算;与供应商串通虚开发票套取资金。  

3、供应商利益输送:选择关联供应商,收取回扣。

(二)线索摸排方法

1、数据穿透比对

①对比市场公允价与实际合同价(如明星代言费、广告位报价),锁定溢价超30%的异常合同。  

②追踪供应商股权结构,筛查员工亲属关联企业(如用“企查查”“天眼查”等穿透股权至实际控制人)。  

2、流程日志审计

①审查渠道资源分配日志:关注非工作时间操作、频繁修改推荐位规则等异常行为。  

②核验营销活动效果数据:如明星代言期间用户增长率是否匹配投入成本。  

3、资金流水溯源

①抽查大额营销费用流向:重点核查第三方公司账户,追踪资金最终去向(如是否流入员工关联账户)。

综合治理框架:从线索到闭环

(一)技术防御

1、区块链存证:将采购合同、买量数据、外包交付记录上链,防篡改。  

2、AI行为分析:监测员工操作(如频繁访问敏感数据、离职前批量下载文件)。  

(二)流程改造  

1、三权分立:拆分“供应商选择-合同审批-验收付款”权限。  

2、突击轮岗:高风险岗位(如买量投手、美术外包负责人)定期的强制轮换。  

(三)文化治理

1、举报重奖:设立匿名渠道,对查实的舞弊线索奖励涉案金额的10%-20%。

2、供应商黑名单:建立行业黑名单共享,增加行贿成本。

写在最后

游戏行业贪腐的根源在于“资源定价权不透明”与“操作闭环难监管”。建议以“数据穿透+权限制衡”为核心,在发行环节锁死渠道决策留痕,买量环节锚定用户价值真实性,美术环节打破外包黑箱定价,方能从源头压缩舞弊空间,从事后溯源舞弊行为。

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