Rules social platforms must follow
In India, social apps are intermediaries under the IT Rules and must publish terms, appoint a grievance officer, act on complaints within set timelines and remove certain content quickly, including very short deadlines for non-consensual intimate imagery. Significant social media intermediaries, defined by a user threshold, have extra duties such as a chief compliance officer, a resident grievance officer and monthly compliance reports.
Children's data needs verifiable parental consent under the DPDP Act, and US users under 13 bring COPPA obligations. Platforms serving the EU face the Digital Services Act, with obligations that scale with size, including transparency about moderation and recommendation systems. This is general information, not legal advice; confirm obligations as you grow into new markets.
- Publish clear community guidelines and terms.
- Provide in-app reporting with tracked response times.
- Keep moderation decisions and appeals on record.
- Verify age where the audience or content requires it.
- Prepare monthly compliance reporting before you reach scale.
- Respond to law enforcement requests through a documented process.
Trust and safety by design
Safety works best when it is built into the product rather than added after a crisis. Sensible privacy defaults, such as limiting who can message new users, easy blocking and muting, rate limits on friend requests and messages, and friction for links from new accounts prevent many problems before moderation is needed. Defaults matter more than settings most users never open.
Moderation itself needs layers: automated filters for spam, nudity and known harmful content, user reports prioritized by severity, trained human reviewers with clear policies and an appeals process. Reviewers need well-designed tools and wellbeing support, because they see the worst content on the platform. Publish transparency reports as you grow.
Fake accounts and bots distort everything else, from feeds to metrics. Phone verification, device signals, behavior analysis and progressive trust, where new accounts earn capabilities over time, keep communities authentic without making signup painful. Measure the share of active accounts that are genuine.
Where AI fits in social products
AI ranks feeds and suggests people to follow, and the choice of ranking goal matters: optimizing purely for time spent can amplify outrage, while weighting meaningful interactions and user satisfaction builds healthier communities. Classifiers help moderators by flagging likely spam, harassment and graphic content, and translation lets communities connect across languages.
Generative AI adds creator tools for captions, edits and summaries, but also new risks such as synthetic media and impersonation. Label AI-generated content where appropriate, keep humans reviewing high-impact moderation decisions and audit recommendation systems for unintended effects on vulnerable users.
Measure recommendation systems with more than engagement. Track reports, blocks, hides and survey responses alongside time spent, and give users controls such as a chronological feed or topic preferences. These signals reveal when ranking changes make the experience worse even while short-term engagement rises.
