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Children's data risks in gaming and social products

A practical DPDP readiness guide for gaming and social products handling children's data, covering accounts, chat, rewards, tracking, vendors and support.

Data>Nuance

Gaming and social features can turn a child profile into a compliance bonfire rather quickly.

Children's data risks in gaming and social products

Children's data risks in gaming and social products need a sharper review than ordinary account onboarding. These products often combine profiles, avatars, chat, friend lists, gameplay events, rewards, behavioural signals, device data, content sharing, moderation tools, payments and advertising integrations. Under the Digital Personal Data Protection Act, 2023, that mix can create child-specific risk even when the product is not marketed only to children.

The practical challenge is that gaming and social teams move quickly. New events, badges, leaderboards, recommendations and community features can be added before anyone revisits the privacy model. A good readiness review treats children's data as a live product issue, not a one-time age-gate exercise.

What to review

Start with the child-user journey. Review sign-up, age assessment, profile creation, avatars, friend discovery, chat, user-generated content, clans or groups, live events, rewards, rankings, reporting tools, account recovery and deletion. Each feature should have a clear answer to whether a child can use it, what data is collected, and what adult or safety control applies.

Review behavioural data. Gaming and social products often collect session length, level progression, purchase attempts, reactions, clicks, messages, device signals, content preferences and moderation events. Teams should decide which signals are needed for safety, service delivery, fraud prevention or product improvement, and which should not be used for profiling or targeted advertising for child users.

Check vendor tools and SDKs. Analytics, crash reporting, advertising, anti-cheat, payments, community moderation, push notifications and customer support tools may process child-user data. Default SDK settings can be unsuitable for child contexts. Vendor review should include data categories, purposes, retention, onward sharing and controls for child accounts.

Implementation steps

Create a child-risk feature inventory. List every feature that collects, displays, shares or infers personal data from users who may be children. Include quiet data flows such as event tracking, recommendation systems, moderation queues and notification triggers.

Separate safety processing from growth processing. Some data may be needed to keep the product safe, prevent abuse, moderate content or support account security. That does not mean the same data should flow into advertising, engagement nudges or broad behavioural segmentation. The system should enforce those separations.

Build account states for child users. Product and engineering teams should have clear states such as unknown age, likely child, parent-reviewed, restricted social features, chat disabled, ads limited, or manual review required. These states should drive feature access, vendor settings and support scripts.

Test risky interactions. Run scenarios for friend requests, public profiles, direct messages, group invitations, rewards, purchases, user reports, deletion requests and parental complaints. Testing should include what the child sees, what the parent sees, what support sees, and what is recorded as evidence.

Keep review records. The readiness file should include the feature inventory, age-gating logic, vendor settings, safety controls, advertising restrictions, support escalation rules, retention decisions and issue logs. This gives the team a reliable record when features change.

Common mistakes

  • Treating avatars and usernames as harmless while ignoring chat, friend graphs, device signals and behavioural events behind them.
  • Letting advertising or analytics SDK defaults run for child accounts without a child-specific settings review.
  • Adding rewards, rankings or social prompts without checking whether they create new profiling or safety risks.

How DataNuance can help

DataNuance helps gaming and social product teams review children's data risks across product, engineering, vendors and support. We map feature-level data flows, child account states, SDK settings, moderation records, advertising restrictions and parent-support pathways. The output is a practical controls map that can evolve with the product.

For a children's data review for gaming or social products, contact DataNuance.

FAQs

Are avatars and usernames personal data?

They can be, depending on context. If an avatar, username or profile is linked to an account, device, gameplay history, chat or other identifiers, it should be treated as part of the personal data environment.

Can child accounts use chat features?

They may be able to use restricted or moderated chat in some products, but the design needs specific review. Teams should assess direct messaging, group chat, reporting, moderation, parental visibility and retention before enabling it.

Should behavioural events be disabled for child users?

Not always. Some events may be needed for safety, service quality, fraud prevention or core gameplay. The key is to restrict unnecessary profiling, targeted advertising and unrelated growth uses.

What records should product teams keep?

Keep the feature inventory, child account-state logic, SDK review, moderation workflow, advertising restrictions, support scripts, parental escalation route and decisions on retention or deletion.

Sources

Digital Personal Data Protection Act, 2023, Ministry of Electronics and Information Technology official copy.

Digital Personal Data Protection Rules, 2025, Ministry of Electronics and Information Technology official copy.

This publication is general information and is not legal advice for a specific organisation or matter.

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