Any Indian platform carrying user content — reviews, listings, comments, profiles, uploads — needs a moderation capability, and the requirement is set partly by law and partly by what your users will tolerate. The legal floor comes from the IT Rules: acknowledge a grievance within twenty-four hours, resolve within fifteen days, act on a court order or government notification within thirty-six hours, and within twenty-four for the most serious categories. Missing those puts your safe harbour at risk.
The language problem is what makes Indian moderation genuinely harder than the equivalent elsewhere. Content arrives in many languages, frequently transliterated into Latin script, frequently code-mixed within a sentence. Automated classifiers trained on English perform poorly on Hinglish and worse on regional languages in Latin script, and the abusive content is disproportionately in exactly those registers. A filter that reports high accuracy is usually reporting it on the subset it can read.
Design the system as layers rather than as a filter. Automated classification handles the obvious and the high-volume. A trust signal — account age, prior reports, verification status — routes borderline content differently for a new account than an established one. Human review handles what remains, and user reporting catches what everything else missed. No single layer is sufficient and each one reduces the load on the next.
Build the reviewer's tooling deliberately, because it determines both quality and cost. The reviewer needs the content, its context, the reporter's reason, the poster's history and a small number of clear actions, in a queue that prioritises by potential harm rather than by arrival order. Reviewers working through an undifferentiated list make worse decisions and burn out faster, and moderation attrition is expensive in a role where judgement improves with experience.
Then build the appeal path before you need it, because you will make wrong calls at volume. A user whose content was removed, or whose account was restricted, needs a route to a human and an answer. Platforms without one accumulate public complaints that are usually justified and always damaging, and the 2022 amendments to the IT Rules were specifically concerned with grievances about content moderation and account suspension — which is a signal about where regulatory attention is pointed.
